# Tailor AI

> A performance-marketing control layer that helps growth teams adapt campaigns and landing pages to visitor intent, run A/B tests per segment, and measure downstream impact on pipeline and revenue.

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## Overview

- [Stop Sending High-Intent Visitors to Generic Pages](https://tailorhq.ai/): AI that turns campaign signals into tailored pages, runs experiments, and finds measurable lift. Stop sending high-intent visitors to generic pages.
- [Tailor AI | Performance Marketing Personalization, Testing & Analytics](https://tailorhq.ai/tailor-your-pages): Tailor AI adapts campaigns and landing pages to visitor intent using ad, keyword, device, and company signals. Test fast and measure the real impact.

## Site

- [About Us](https://tailorhq.ai/about-us): Meet the team behind Tailor AI. Ex-LinkedIn and Meta growth engineers making sites tailor themselves to visitor intent.
- [AI Landing Page Personalization for Growth and Marketing Teams](https://tailorhq.ai/ai-landing-page-personalization): AI landing page personalization on your existing site. Match paid traffic to the right message, create personalized landing pages, and measure the lift.
- [Customer Stories](https://tailorhq.ai/customer-stories): Short, specific wins from Tailor AI customers: Google Ads tailoring, translated pages, layout tests, identified visitors, and competitor intelligence.
- [Demos](https://tailorhq.ai/demos): Video tutorials for Tailor AI. Learn page tailoring, audience targeting, A/B testing, and publishing in under 5 minutes each.
- [Fix Paid Traffic Leaks](https://tailorhq.ai/fix-paid-traffic): Find where your ad spend leaks. Break down paid traffic by campaign, keyword, device, and company, then ship targeted landing page tests in minutes.
- [Help Center](https://tailorhq.ai/help): Answers to common questions about Tailor AI: personalization, A/B testing, ad-to-page message match, analytics integrations, and measuring ROAS and CAC.
- [Can agencies use Tailor for clients?](https://tailorhq.ai/help/can-agencies-use-tailor-for-clients): Yes. Agencies can use Tailor to create, QA, launch, monitor, and report on tailored landing page tests for clients.
- [Can customers self-host the Tailor serving script?](https://tailorhq.ai/help/can-customers-self-host-tailor-serving-script): No. Tailor does not currently support self-hosting the serving script.
- [Can I change the control variant after the test starts?](https://tailorhq.ai/help/can-i-change-control-variant-after-test-starts): Best practice: stop and restart instead of changing control mid-test.
- [Can I connect first-party user data or logged-in user attributes for targeting?](https://tailorhq.ai/help/can-i-connect-first-party-user-data-logged-in-user): Yes. Tailor can use your own first-party data such as logged-in status, plan type, account segment, or lifecycle stage for targeting.
- [Can I duplicate a successful variant to another page?](https://tailorhq.ai/help/can-i-duplicate-successful-variant-another-page): Yes. Tailor can support copying or reusing successful ideas across similar pages, depending on page structure and workspace setup.
- [Can I exclude certain pages or paths from Tailor?](https://tailorhq.ai/help/can-i-exclude-certain-pages-paths-from-tailor): The Tailor tag may be installed broadly, but Tailor only applies changes on pages or paths with active tailored pages or matching rules.
- [Can I personalize based on geo, device, or language?](https://tailorhq.ai/help/can-i-personalize-based-on-geo-device-language): Yes. Common targeting includes device (mobile/desktop/tablet), language (browser language), and geo (inferred from IP, usually coarse).
- [Can I personalize by audience list (like Customer Match) without leaking PII?](https://tailorhq.ai/help/can-i-personalize-by-audience-list-like-customer-match-without): Tailor supports company-level account-list matching when IP enrichment is enabled. Match visitors to target accounts or customer segments and tailor the page accordingly. This is account-level matching, not individual user identification.
- [Can I personalize landing pages without creating hundreds of pages?](https://tailorhq.ai/help/can-i-personalize-landing-pages-without-creating-hundreds-pages): Yes. Tailor lets you create tailored variants on top of existing pages instead of building and maintaining a separate hardcoded page for every campaign or audience.
- [Can I QA variants without sending real traffic?](https://tailorhq.ai/help/can-i-qa-variants-without-sending-real-traffic): Yes. Use the Tailor Chrome extension’s preview button or add ?preview_mode=treatment to the page URL. No real traffic is affected.
- [Can I restrict Tailor to only paid traffic (Google Ads / Meta)?](https://tailorhq.ai/help/can-i-restrict-tailor-only-paid-traffic-google-ads-meta): Yes. The cleanest way is to target based on UTM parameters (source/medium/campaign). You can also use referrer or click IDs, but UTMs are the most explicit and easiest to debug.
- [Can I run multiple experiments on the same page? How does Tailor handle conflicts?](https://tailorhq.ai/help/can-i-run-multiple-experiments-on-same-page-how-does): Yes, as long as the trigger combinations are unique. Triggers include URL/path, URL params, locale, device type, and company/buyer signals. The more specific rule takes precedence. If there is still potential for a conflict, you can set priorities to decide which variant wins.
- [Can I schedule experiments (start Monday, end Friday)?](https://tailorhq.ai/help/can-i-schedule-experiments-start-monday-end-friday): Not today. Workaround: QA ahead of time, then launch and stop manually (or via an internal process).
- [Can I send downstream data from my data warehouse for experiment analysis?](https://tailorhq.ai/help/can-i-send-downstream-data-from-my-data-warehouse-for): Yes. You can bring in downstream outcome data like plan upgrades or cancellations for experiment analysis. Tailor supports a self-serve Amplitude integration; custom data warehouse integrations may be available depending on requirements.
- [Can I share a preview link with someone who doesn’t have the Tailor extension?](https://tailorhq.ai/help/can-i-share-preview-link-someone-who-doesn-t-have): Yes. Preview links work for anyone, no extension needed. The only requirements are that the Tailor tag is installed on the page and the tailored page has been created.
- [Can I target new vs. returning visitors?](https://tailorhq.ai/help/can-i-target-new-vs-returning-visitors): Yes. Show a tailored page only to first-time visitors, or only to returning visitors coming back a day or more later.
- [Can I track conversions that happen offsite (Stripe, app signup, Calendly)?](https://tailorhq.ai/help/can-i-track-conversions-that-happen-offsite-stripe-app-signup): Often yes. Use a code-based goal (Tailor generates a snippet for your success handler, and it works from sandboxed iframes), the Shopify goal type for store purchases, or send downstream events back through your analytics stack.
- [Can I use Tailor across multiple domains or subdomains?](https://tailorhq.ai/help/can-i-use-tailor-across-multiple-domains-subdomains): Yes, but setup depends on how your domains, tracking, and conversion goals are configured.
- [Can I use Tailor if I already have GA4, Amplitude, or Segment?](https://tailorhq.ai/help/can-i-use-tailor-if-i-already-have-ga4-amplitude): Yes. Tailor works with your existing analytics stack. It can send experiment exposure events to GA4, Amplitude, and Segment using the analytics client already installed on your page.
- [Can I use Tailor if I already use Optimizely, VWO, or Adobe Target?](https://tailorhq.ai/help/can-i-use-tailor-if-i-already-use-optimizely-vwo): Yes, but avoid running overlapping experiments that change the same page elements or target the same traffic at the same time.
- [Can I use Tailor on pricing pages?](https://tailorhq.ai/help/can-i-use-tailor-on-pricing-pages): Yes, if the changes are appropriate for your business and the page has a clear goal.
- [Can Tailor be used as a managed service?](https://tailorhq.ai/help/can-tailor-be-used-as-managed-service): Yes. Tailor can support teams that want help creating, launching, and monitoring tests.
- [Can Tailor generate copy in our brand voice and enforce style rules?](https://tailorhq.ai/help/can-tailor-generate-copy-in-our-brand-voice-enforce-style): Yes. You can set brand guidelines in your account settings in the Tailor web app at app.tailorhq.ai. These apply to all tailored pages by default, or you can set them per page individually.
- [Can Tailor help if I do not have enough traffic for statistical significance?](https://tailorhq.ai/help/can-tailor-help-if-i-do-not-have-enough-traffic): Yes, but the approach changes. Use fewer variants, bigger changes, higher-frequency proxy goals, and directional learning.
- [Can Tailor help me find what changed when performance drops?](https://tailorhq.ai/help/can-tailor-help-me-find-what-changed-when-performance-drops): Yes. Tailor can help diagnose whether a performance shift is more likely related to traffic, tracking, page changes, audience mix, or downstream conversion behavior.
- [Can Tailor help with message match?](https://tailorhq.ai/help/can-tailor-help-message-match): Yes. Tailor is designed to improve message match between the visitor's intent and the landing page experience.
- [Can Tailor personalize based on Meta ads or creatives?](https://tailorhq.ai/help/can-tailor-personalize-based-on-meta-ads-creatives): Yes. Use UTM parameters such as campaign, ad set, creative, or content identifiers to personalize based on Meta traffic.
- [Can Tailor personalize by company size?](https://tailorhq.ai/help/can-tailor-personalize-by-company-size): Yes. Tailor can use company-size signals when available through enrichment, account matching, or first-party data.
- [Can Tailor personalize by industry?](https://tailorhq.ai/help/can-tailor-personalize-by-industry): Yes. Tailor can personalize by industry when industry is available through enrichment, account matching, first-party data, or campaign metadata.
- [Can Tailor personalize by role or department?](https://tailorhq.ai/help/can-tailor-personalize-by-role-department): Sometimes. Tailor can use role, department, or buyer-context signals when available, but these should be treated as probabilistic unless they come from your own first-party data.
- [Can Tailor personalize content inside an iframe or embedded widget?](https://tailorhq.ai/help/can-tailor-personalize-content-inside-iframe-embedded-widget): This might be possible if the Tailor tag is installed on the page loaded inside the iframe. Please contact Tailor at support@tailorhq.ai if this is a concern for you.
- [Can Tailor personalize for existing customers vs prospects?](https://tailorhq.ai/help/can-tailor-personalize-for-existing-customers-vs-prospects): Yes, if Tailor can identify the account or receive a first-party customer/prospect signal.
- [Can Tailor personalize for target accounts?](https://tailorhq.ai/help/can-tailor-personalize-for-target-accounts): Yes. Tailor matches visitors to your customer or target account lists at the company level (via IP enrichment) and can show each account segment a different experience.
- [Can Tailor personalize landing pages for different Google Ads keywords?](https://tailorhq.ai/help/can-tailor-personalize-landing-pages-for-different-google-ads-keywords): Yes. The cleanest approach is to pass the matched keyword using a tracking parameter like utm_term={keyword} and target based on that value.
- [Can Tailor recommend what to test next?](https://tailorhq.ai/help/can-tailor-recommend-what-test-next): Yes, by default. Tailor automatically maintains a queue of upcoming tests built from your traffic, ads, pages, and past results. Each one comes with evidence, targeting, and a before/after preview, ready to launch on your approval.
- [Can Tailor run tests on localized or international pages?](https://tailorhq.ai/help/can-tailor-run-tests-on-localized-international-pages): Yes. Tailor can target by locale, language, geo, campaign, or page path, and can translate a whole page for you: mark a variant as a translation variant and pick its target language in the Editor tab.
- [Can Tailor show which companies are visiting my site?](https://tailorhq.ai/help/can-tailor-show-which-companies-are-visiting-my-site): Yes, when enrichment is enabled, Tailor can show company-level visitor insights where available.
- [Can Tailor support approval workflows?](https://tailorhq.ai/help/can-tailor-support-approval-workflows): Tailor supports preview and QA workflows, but approval process details may depend on your team setup.
- [Can Tailor surface anomalies automatically (spend spike, CVR drop, tracking broke)?](https://tailorhq.ai/help/can-tailor-surface-anomalies-automatically-spend-spike-cvr-drop-tracking): Tailor alerts teams when important performance, traffic, or tracking signals shift, so marketers can investigate issues faster.
- [Can Tailor work with landing page builders like Webflow, Unbounce, Framer, or WordPress?](https://tailorhq.ai/help/can-tailor-work-landing-page-builders-like-webflow-unbounce-framer): Usually yes, as long as the Tailor tag can be installed and the page renders in the browser.
- [Clicks/CTR, how to use them without lying to yourself](https://tailorhq.ai/help/clicks-ctr-how-use-them-without-lying-yourself): Use clicks/CTR to debug message match. Don’t declare victory on clicks if downstream goals don’t move, that’s how CAC quietly gets worse.
- [Closed-loop measurement, why Tailor cares](https://tailorhq.ai/help/closed-loop-measurement-why-tailor-cares): Closed-loop measurement ties variant exposure to downstream outcomes like activation, pipeline, and revenue, so you don’t ‘win’ on clicks and lose on CAC.
- [Control variant](https://tailorhq.ai/help/control-variant): The control variant is the baseline you compare everything against. It can be the original page or a newer ‘champion’ variant (if you promote it).
- [Conversion goals](https://tailorhq.ai/help/conversion-goals): Conversion goals define what success means for a test, like trial starts, signups, activation, pipeline, or revenue.
- [Debug: the wrong experience is showing](https://tailorhq.ai/help/debug-wrong-experience-is-showing): Wrong experience usually means overlap/priority, missing UTMs, or sticky assignment. Prove match logic in preview with forced params, then fix the rule ordering.
- [Diagnose: CAC up, CVR down (the ‘what changed?’ triage)](https://tailorhq.ai/help/diagnose-cac-up-cvr-down-what-changed-triage): Start with tracking integrity, then traffic mix shifts, then page changes. Most ‘mystery drops’ are one of those three.
- [Do I need engineering to set up Tailor, or can I do it in Google Tag Manager (GTM)?](https://tailorhq.ai/help/do-i-need-engineering-set-up-tailor-can-i-do): You can usually do it fully in GTM by adding the Tailor snippet as a Custom HTML tag and triggering it on the pages you want.
- [Does IP enrichment require cookies? What about Do Not Track / consent mode?](https://tailorhq.ai/help/does-ip-enrichment-require-cookies-what-about-do-not-track): IP enrichment can be done without cookies because the IP is available server-side from the inbound request.
- [Does Tailor change my ad campaigns?](https://tailorhq.ai/help/does-tailor-change-my-ad-campaigns): No. Tailor changes the landing page experience and monitors traffic/outcomes. It does not automatically modify ad campaigns unless a specific integration or workflow is configured.
- [Does Tailor do multi-armed bandit or fixed split?](https://tailorhq.ai/help/does-tailor-do-multi-armed-bandit-fixed-split): Today Tailor runs standard experiment splits. Bandit-style allocation is not currently self-serve.
- [Does Tailor have a bug bounty program?](https://tailorhq.ai/help/does-tailor-have-bug-bounty-program): We do not currently run a formal public bug bounty program, but we maintain a vulnerability management process including regular scanning, automated security gates in CI/CD, responsible intake of reported issues, and severity-based remediation timelines.
- [Does Tailor impact Core Web Vitals or page speed?](https://tailorhq.ai/help/does-tailor-impact-core-web-vitals-page-speed): Tailor is designed to load asynchronously and minimize impact on Core Web Vitals. Measure before and after on your own site, especially if changes affect content above the fold.
- [Does Tailor monitor ad-to-page match and test health?](https://tailorhq.ai/help/does-tailor-monitor-ad-to-page-match-and-test-health): Yes. Tailor’s Watchdog monitors ad-to-page match and test health continuously, alongside conversion drops, traffic spikes, and spend shifts. Think of it as a safety net under your ad spend: conversion holds even as campaigns scale and creative changes.
- [Does Tailor need access to my ad accounts?](https://tailorhq.ai/help/does-tailor-need-access-my-ad-accounts): Not always. Tailor can personalize using UTM parameters and page signals without direct ad account access, but ad account integrations can improve traffic insight and monitoring.
- [Does Tailor replace GA4, Amplitude, Segment, or my CRM?](https://tailorhq.ai/help/does-tailor-replace-ga4-amplitude-segment-my-crm): No. Tailor works with your analytics and CRM stack. It handles personalization, experiment delivery, and exposure tracking, while your analytics and CRM systems can remain the source of truth for downstream outcomes.
- [Does Tailor support SSO for access control?](https://tailorhq.ai/help/does-tailor-support-sso-for-access-control): Today Tailor supports Google OAuth authentication. For organizations using Google Workspace, this provides centrally managed access control. Support for additional enterprise IdPs is expected over time.
- [Does Tailor train AI models on my customer data?](https://tailorhq.ai/help/does-tailor-train-ai-models-on-my-customer-data): No. Tailor does not train AI models on customer personal data.
- [Does Tailor use cookies?](https://tailorhq.ai/help/does-tailor-use-cookies): Tailor may use first-party storage for experiment assignment and session behavior, depending on your configuration and consent setup.
- [Does Tailor work on single-page apps (React/Next)?](https://tailorhq.ai/help/does-tailor-work-on-single-page-apps-react-next): Yes, Tailor works on SPAs. You don’t need special SPA settings. Tailor supports client-side navigation, so route changes still get evaluated and the right tailored experience can apply.
- [How do I find paid keywords that don't have a matching landing page?](https://tailorhq.ai/help/find-paid-keywords-without-matching-landing-page): Run Test Ideas in keyword coverage mode: choose 'a page for every paid keyword' when starting a run. Tailor maps each paid-search keyword to the page it lands on, flags weak message match, and turns the gaps into ready-to-launch test ideas.
- [Fix targeting overlap (variant mismatch)](https://tailorhq.ai/help/fix-targeting-overlap-variant-mismatch): If the ‘wrong’ variant shows, it’s usually overlapping rules or priority ordering. Fix overlap first, then verify with forced params in preview.
- [GA4 basics for Tailor measurement](https://tailorhq.ai/help/ga4-basics-for-tailor-measurement): For GA4, you want stable event definitions and a clear primary conversion goal (marked appropriately) that fires consistently across control + variants.
- [How accurate is IP enrichment?](https://tailorhq.ai/help/how-accurate-is-ip-enrichment): IP enrichment is useful but probabilistic. It is best for company/account-level context, not identifying individual people.
- [How do I add legal/compliance disclaimers to all variants automatically?](https://tailorhq.ai/help/how-do-i-add-legal-compliance-disclaimers-all-variants-automatically): This is not currently offered. Please contact Tailor at support@tailorhq.ai if this is a concern for you.
- [How do I avoid over-personalizing?](https://tailorhq.ai/help/how-do-i-avoid-over-personalizing): Only personalize when the segment changes the message, proof, offer, or CTA enough to matter.
- [How do I choose what audience or segment to personalize for?](https://tailorhq.ai/help/how-do-i-choose-what-audience-segment-personalize-for): Choose a segment only if it should change the message, proof, offer, or CTA.
- [How do I connect landing page experiments to pipeline and revenue?](https://tailorhq.ai/help/how-do-i-connect-landing-page-experiments-pipeline-revenue): Send Tailor experiment exposure events into your analytics or CRM flow, then join those exposures to downstream outcomes like MQLs, opportunities, pipeline, revenue, or activation.
- [How do I connect Tailor to GA4?](https://tailorhq.ai/help/how-do-i-connect-tailor-ga4): Enable GA4 as a destination in Tailor settings. Tailor then emits experiment exposure events through the GA4 client already installed on your page, so results show up in your existing GA4 property with no custom code.
- [How do I connect Tailor to HubSpot/Salesforce to measure pipeline impact?](https://tailorhq.ai/help/how-do-i-connect-tailor-hubspot-salesforce-measure-pipeline-impact): Pass Tailor experiment + variant identifiers through your funnel, typically via hidden form fields or your analytics identity layer, then map those fields into HubSpot/Salesforce properties.
- [How do I create custom targeting signals?](https://tailorhq.ai/help/how-do-i-create-custom-targeting-signals): Define your own yes/no visitor signals (for example 'Logged in') under Settings, Visitor Intelligence, then target tests by them like any built-in signal.
- [How do I create more than 2 variants on a test?](https://tailorhq.ai/help/how-do-i-create-more-than-2-variants-on-test): Create the experiment, then add additional variants (A/B/C/D) in the experiment editor. QA each variant, set traffic allocation, then launch.
- [How do I create a tailored page from an existing landing page?](https://tailorhq.ai/help/how-do-i-create-tailored-page-from-existing-landing-page): Open the Tailor Chrome extension on the page you want to tailor and click ‘Create Tailored Page’. That’s it.
- [How do I diagnose a landing page conversion rate drop?](https://tailorhq.ai/help/how-do-i-diagnose-landing-page-conversion-rate-drop): Start with tracking, then traffic mix, then page changes, then downstream lag. Most conversion drops come from one of those layers.
- [How do I exclude internal traffic (employees, agencies) from experiments?](https://tailorhq.ai/help/how-do-i-exclude-internal-traffic-employees-agencies-from-experiments): Internal traffic exclusion is not supported today. If this is important for your use case, please let the Tailor team know at support@tailorhq.ai.
- [How do I export experiment results to a CSV or to our data warehouse?](https://tailorhq.ai/help/how-do-i-export-experiment-results-csv-our-data-warehouse): CSV export is available via the experiments tab at app.tailorhq.ai.
- [How do I force myself into the treatment group for testing?](https://tailorhq.ai/help/how-do-i-force-myself-into-treatment-group-for-testing): The easiest way: open the Tailor Chrome extension, find your variant, and click the preview button (the external-link icon). This opens the page with the correct preview_mode parameter. Alternatively, add ?preview_mode=treatment to the page URL manually. For experiments with multiple variants, use the variant-specific ID like ?preview_mode=L3z9fg.
- [How do I identify which companies are visiting my landing pages?](https://tailorhq.ai/help/how-do-i-identify-which-companies-are-visiting-my-landing): Enable enrichment to see company-level visitor insights where available, such as likely company, industry, company size, and related firmographic context.
- [How do I improve ROAS without increasing ad spend?](https://tailorhq.ai/help/how-do-i-improve-roas-without-increasing-ad-spend): Improve ROAS by getting more value from the traffic you already buy: better message match, stronger landing page relevance, better conversion, and clearer downstream measurement.
- [How do I install Tailor on my site, and how long does it take?](https://tailorhq.ai/help/how-do-i-install-tailor-on-my-site-how-long): Install is two parts: add the Tailor tag to your site (or via Google Tag Manager) so Tailor can deliver tailored pages and track exposure, and install the Chrome extension so you can create, edit, and QA variants directly on the page.
- [How do I know if Tailor is improving CVR, not just CTR?](https://tailorhq.ai/help/how-do-i-know-if-tailor-is-improving-cvr-not): Set your primary conversion goal to a real business outcome (trial start, purchase, lead submit, activation) and treat CTR as diagnostic only.
- [How do I lock certain elements so Tailor never changes them?](https://tailorhq.ai/help/how-do-i-lock-certain-elements-so-tailor-never-changes): There is no general lock feature today, but Tailor changes require human review and approval before publishing. You can also constrain which elements an edit applies to.
- [How do I measure pipeline impact with Tailor?](https://tailorhq.ai/help/how-do-i-measure-pipeline-impact-tailor): Pass Tailor experiment and variant data through your funnel, then report pipeline by experiment group in your CRM, analytics platform, or warehouse.
- [How do I measure ROAS impact with Tailor?](https://tailorhq.ai/help/how-do-i-measure-roas-impact-tailor): Connect your ad accounts and Tailor shows the actual dollars behind each test: banked extra revenue (or CTA clicks) driven since the test started, per ad platform, matched to the campaigns sending traffic to that page.
- [How do I monitor competitor landing page changes?](https://tailorhq.ai/help/how-do-i-monitor-competitor-landing-page-changes): Add competitor URLs to Tailor's Competitive Intelligence Agent to monitor page and messaging changes over time.
- [How do I pause a variant without deleting it?](https://tailorhq.ai/help/how-do-i-pause-variant-without-deleting-it): Use Deramp. Deramping reduces exposure to 0% without deleting the variant, so you can keep it for iteration or re-testing later. You can deramp from either the Tailor Chrome extension or the web app at app.tailorhq.ai. There is no separate 'pause' action. The available experiment actions are: ramp, ramp to 100%, deramp, and delete.
- [How do I personalize landing pages by ad intent?](https://tailorhq.ai/help/how-do-i-personalize-landing-pages-by-ad-intent): Use ad intent signals like campaign, keyword, creative, audience, or UTM parameters to change the landing page promise, proof, CTA, and objection handling.
- [How do I personalize landing pages by Google Ads keyword?](https://tailorhq.ai/help/how-do-i-personalize-landing-pages-by-google-ads-keyword): Pass the matched Google Ads keyword into the landing page URL using a tracking parameter like utm_term={keyword}, then use that value to target tailored page variants.
- [How do I personalize landing pages by UTM parameters?](https://tailorhq.ai/help/how-do-i-personalize-landing-pages-by-utm-parameters): Use UTM parameters like utm_source, utm_medium, utm_campaign, utm_content, and utm_term to route visitors to the most relevant landing page variant.
- [How do I personalize landing pages for LinkedIn Ads?](https://tailorhq.ai/help/how-do-i-personalize-landing-pages-for-linkedin-ads): Use LinkedIn campaign, audience, company, role, industry, or UTM signals to tailor the landing page to the visitor's likely business context.
- [How do I personalize landing pages for Meta ads?](https://tailorhq.ai/help/how-do-i-personalize-landing-pages-for-meta-ads): Use Meta campaign, ad set, audience, creative, or UTM parameters to tailor the landing page to the ad's message and audience.
- [How do I personalize landing pages for target accounts?](https://tailorhq.ai/help/how-do-i-personalize-landing-pages-for-target-accounts): With IP enrichment enabled, Tailor can match visitors against company-level customer or target account lists and tailor the page experience by account segment.
- [How do I QA a tailored page if my site requires login or is behind a paywall?](https://tailorhq.ai/help/how-do-i-qa-tailored-page-if-my-site-requires): Tailor generally works on authenticated pages if the Tailor tag is installed and the browser can render the page. Log in normally and use preview mode.
- [How do I ramp a test safely without tanking performance?](https://tailorhq.ai/help/how-do-i-ramp-test-safely-without-tanking-performance): Most customers ramp directly to a 50/50 split. Gradual ramping (10% increments) is only necessary for very high-volume, high-sensitivity pages. Don’t overthink it.
- [How do I run A/B tests without engineering?](https://tailorhq.ai/help/how-do-i-run-ab-tests-without-engineering): Install the Tailor tag and Chrome extension, then marketers can create, edit, preview, QA, launch, ramp, and deramp landing page experiments without needing engineering for every change.
- [How do I see results by segment (device, browser, locale)?](https://tailorhq.ai/help/how-do-i-see-results-by-segment-device-browser-locale): Open the test's dashboard and use the breakdowns: slice results by device (mobile, tablet, desktop), browser, and visitor locale, with lift vs. the original shown per segment.
- [How do I send experiment exposure events to GA4, Amplitude, or Segment?](https://tailorhq.ai/help/how-do-i-send-experiment-exposure-events-ga4-amplitude-segment): In Tailor settings, enable the analytics destination you want. Tailor can send events to GA4, Amplitude, and Segment using the analytics client already installed on your page.
- [How do I set a conversion goal?](https://tailorhq.ai/help/how-do-i-set-conversion-goal): Set a primary conversion goal on the real business outcome (lead submit, trial start, purchase, activation). You can set this up directly in Tailor by targeting a form submission button click or an impression on the thank-you page. You can also track the goal in an analytics platform (Amplitude, GA4) and integrate it with Tailor, then pick it as the conversion goal for a given experiment.
- [How do I target by UTM parameters, campaign, ad group, or keyword?](https://tailorhq.ai/help/how-do-i-target-by-utm-parameters-campaign-ad-group): Create a test and choose who should see it: pick a URL parameter (like utm_campaign or utm_term), choose how it matches, and add one or more values. A rule matches when the parameter equals any of the values, so one test can cover several campaigns or sources.
- [How do I track downstream conversions like MQL, SAL, or pipeline in Tailor?](https://tailorhq.ai/help/how-do-i-track-downstream-conversions-like-mql-sal-pipeline): Use a shared campaign or experiment ID across Tailor and your downstream system. Tailor can pass variant and experience metadata for downstream reporting.
- [How do I verify Tailor is actually running on my landing page?](https://tailorhq.ai/help/how-do-i-verify-tailor-is-actually-running-on-my): Add ?t_healthcheck to the URL. Tailor will render a debugging overlay in the lower-right corner of the page.
- [How do Test Ideas work?](https://tailorhq.ai/help/how-do-test-ideas-work): Test Ideas is your queue of upcoming tests: experiments Tailor builds automatically from your ads, traffic, and pages, ranked by expected impact. Each one arrives ready to launch, with the audience, expected 30-day reach, key changes, and a before/after preview. You approve, it runs.
- [How do you infer intent when there are no UTMs?](https://tailorhq.ai/help/how-do-you-infer-intent-when-there-are-no-utms): Even without UTMs, Tailor can use query params, geography, locale, device type, referrer, and IP-enrichment signals for targeting.
- [How does preview mode compare to production? What’s different?](https://tailorhq.ai/help/how-does-preview-mode-compare-production-what-s-different): Preview mode is designed to closely match production, but it is not a perfect substitute for live traffic.
- [How does Tailor connect to GA4, Amplitude, or Segment?](https://tailorhq.ai/help/how-does-tailor-connect-ga4-amplitude-segment): Tailor can send events to GA4, Amplitude, and Segment from Settings using the analytics client already installed on your page.
- [How does Tailor detect and track CTAs on my pages?](https://tailorhq.ai/help/how-does-tailor-detect-and-track-ctas): Tailor scans pages that carry your Tailor script for untracked conversion buttons, auto-tracks the high-confidence ones, and lists the rest for review, so you can see exactly what's counted before a test goes live.
- [How does Tailor handle attribution (last-click or something else)?](https://tailorhq.ai/help/how-does-tailor-handle-attribution-last-click-something-else): Tailor does not offer attribution settings. Tailor’s focus is experiment assignment and measuring lift against your chosen goals (plus integrated downstream events).
- [How does Tailor handle caching and CDNs like Cloudflare or Fastly?](https://tailorhq.ai/help/how-does-tailor-handle-caching-cdns-like-cloudflare-fastly): Standard CDN caching usually does not require changes because Tailor applies changes client-side, but CSP, edge rewrites, script blocking, and aggressive caching can affect behavior.
- [How does Tailor handle consent?](https://tailorhq.ai/help/how-does-tailor-handle-consent): Tailor can be configured to respect your consent setup for tracking, cookies, enrichment, analytics events, and personalization behavior.
- [How does Tailor help teams move faster without losing control?](https://tailorhq.ai/help/how-does-tailor-help-teams-move-faster-without-losing-control): Tailor lets marketers create and test page changes quickly while still using preview, QA, targeting, ramping, deramping, and analytics checks.
- [How does Tailor manage the security risk of injected JavaScript manipulating the DOM?](https://tailorhq.ai/help/how-does-tailor-manage-security-risk-injected-javascript-manipulating-do): Tailor validates serving payloads server-side, enforces domain-to-org mapping, wraps logic in error handling so failures do not break the host page, and logs all experiment changes with timestamps and user attribution.
- [How is Tailor different from Mutiny?](https://tailorhq.ai/help/how-is-tailor-different-from-mutiny): Tailor overlaps with B2B personalization, but is broader across performance marketing, traffic intelligence, experimentation, alerts, competitor insights, and downstream measurement.
- [How is Tailor different from Optimizely, VWO, or Adobe Target?](https://tailorhq.ai/help/how-is-tailor-different-from-optimizely-vwo-adobe-target): Tailor is built for performance marketers who want to connect traffic intent, landing page personalization, experiment execution, and downstream outcomes faster.
- [How is Tailor different from traditional A/B testing tools?](https://tailorhq.ai/help/how-is-tailor-different-from-traditional-ab-testing-tools): Traditional A/B testing tools help compare variants. Tailor is built for the broader performance marketing loop: understand traffic, tailor the page, test the experience, monitor outcomes, and learn what to do next.
- [How is Tailor managing security overall?](https://tailorhq.ai/help/how-is-tailor-managing-security-overall): Tailor maintains a security program covering access control, environment isolation, logging and auditability, secure development practices, vulnerability management, and operational controls.
- [How long should I run a Tailor experiment?](https://tailorhq.ai/help/how-long-should-i-run-tailor-experiment): Run the test long enough to collect meaningful conversions on the primary goal and avoid overreacting to early noise.
- [How should I explain Tailor to my analytics team?](https://tailorhq.ai/help/how-should-i-explain-tailor-my-analytics-team): Tailor assigns visitors to experiences, sends exposure events to analytics tools, and helps connect landing page variants to downstream outcomes.
- [How should I explain Tailor to my engineering team?](https://tailorhq.ai/help/how-should-i-explain-tailor-my-engineering-team): Tailor requires a lightweight tag on the site and a Chrome extension for marketers to create and QA page variants.
- [How should I explain Tailor to my security team?](https://tailorhq.ai/help/how-should-i-explain-tailor-my-security-team): Tailor is a client-side personalization and experimentation platform that uses a first-party tag to deliver variants, track exposure, and connect page behavior to outcomes.
- [How should I use competitor insights in experiments?](https://tailorhq.ai/help/how-should-i-use-competitor-insights-in-experiments): Use competitor insights to generate better hypotheses, not to blindly copy competitors.
- [Intent matching, what to change on the page](https://tailorhq.ai/help/intent-matching-what-change-on-page): For intent matching, change the promise and proof: headline, subhead, first CTA, proof points, and objection handling. Tiny tweaks rarely move CAC.
- [Is Tailor an A/B testing tool?](https://tailorhq.ai/help/is-tailor-an-ab-testing-tool): Not at its core. Tailor is automatic site personalization and optimization. A/B testing is built in because it’s how every change proves itself, but the product’s job is bigger: research your traffic, personalize per segment, propose tests, launch on your approval, and learn.
- [Is Tailor only for paid traffic?](https://tailorhq.ai/help/is-tailor-only-for-paid-traffic): No. Paid traffic is the most common starting point, but Tailor can personalize and test across paid, organic, direct, email, social, partner, and account-based traffic.
- [Launch an A/B test, fastest happy path](https://tailorhq.ai/help/launch-ab-test-fastest-happy-path): Open the Tailor Chrome extension on your landing page and click 'Create Tailored Page'. That creates a variant with a 50/50 A/B test automatically.
- [Multi-variant tests, when A/B/C makes sense](https://tailorhq.ai/help/multi-variant-tests-when-ab-c-makes-sense): More variants require more conversions. If you don’t have meaningful conversions per variant per week, A/B/C will mostly measure noise.
- [No data, is it traffic or tracking?](https://tailorhq.ai/help/no-data-is-it-traffic-tracking): If you see 0 conversions, either the variant isn’t getting traffic, or the goal isn’t firing. Diagnose traffic first, then goal firing parity.
- [QA checklist before you launch (preview + eligibility validation)](https://tailorhq.ai/help/qa-checklist-before-you-launch-preview-eligibility-validation): Before launch: preview every variant using the Tailor extension’s preview button or ?preview_mode=treatment, then confirm layout, delivery, and goal firing.
- [Read results like a performance marketer (not a stats tourist)](https://tailorhq.ai/help/read-results-like-performance-marketer-not-stats-tourist): Look at lift on the primary conversion goal first. Use CTR/clicks as diagnostics, and sanity-check for traffic mix shifts and tracking changes.
- [Can redirect test links run on my own domain?](https://tailorhq.ai/help/redirect-links-on-your-own-domain): Yes. Set up a custom redirect domain under Settings, Domains, and Tailor builds redirect links on your own subdomain (like t.yoursite.com/r/abc12345) instead of app.tailorhq.ai.
- [Sanity check: is Tailor breaking my tracking?](https://tailorhq.ai/help/sanity-check-is-tailor-breaking-my-tracking): Fast way to build trust: confirm the same goal fires on control and variant, then look for duplicates, consent blocks, and attribution lag.
- [Set or change the control variant](https://tailorhq.ai/help/set-change-control-variant): After a test ends, you can promote a winner or use it as the new baseline for a fresh test. Avoid changing the control mid-test because it makes results harder to interpret.
- [Should I personalize or run a normal A/B test?](https://tailorhq.ai/help/should-i-personalize-run-normal-ab-test): Run a normal A/B test when the same change should help everyone. Personalize when different visitors need different messages, proof, or CTAs.
- [Stop a test safely (and keep learnings)](https://tailorhq.ai/help/stop-test-safely-keep-learnings): Deramp traffic back to control, snapshot the results, then decide whether to promote, iterate, or revert.
- [Tailor, in one sentence for performance marketers](https://tailorhq.ai/help/tailor-in-one-sentence-for-performance-marketers): Tailor is automatic site personalization and optimization for performance marketers. Its AI finds the tests worth running, builds them, launches on your approval, and learns what converts per segment, tied to conversion and revenue.
- [Targeting basics (UTMs + intent signals)](https://tailorhq.ai/help/targeting-basics-utms-intent-signals): Targeting routes the right traffic to the right variant. Start with the cleanest paid intent signals: utm_source, utm_campaign, utm_content, utm_term.
- [‘Too early’, what it really means](https://tailorhq.ai/help/too-early-what-it-really-means): ‘Too early’ means the system doesn’t have enough signal on your goal to separate lift from noise. The fix is usually more conversions, fewer variants, or a slightly higher-funnel goal temporarily.
- [We care about activation, not signup. How do I measure that in Tailor?](https://tailorhq.ai/help/we-care-about-activation-not-signup-how-do-i-measure): Two good options: set up down-funnel conversion goals in Tailor that represent activation better than signup, or measure activation in your product analytics (e.g. Amplitude) and send those activation events back to Tailor via an integration.
- [What alerts can Tailor send?](https://tailorhq.ai/help/what-alerts-can-tailor-send): Tailor alerts you when a test reaches a decision (a clear winner to roll out, or a high-confidence loser with one-click Stop Test), when a test's traffic stalls, spikes, or never starts, and when ad spend, cost per acquisition, or landing page health shifts.
- [What can I do with Tailor?](https://tailorhq.ai/help/what-can-i-do-tailor): Tailor helps performance marketers improve ROAS with personalization, experimentation, visitor identification, full funnel analytics, alerting, and competitive intelligence.
- [What can I edit with Tailor? Is it limited to text and buttons?](https://tailorhq.ai/help/what-can-i-edit-tailor-is-it-limited-text-buttons): Far more than text and buttons. You can apply AI re-styling, edit copy, images, and videos, hide elements, reorder elements, and insert new elements.
- [What controls exist to increase confidence if the script is not self-hosted?](https://tailorhq.ai/help/what-controls-exist-increase-confidence-if-script-is-not-self): Tailor's managed script supports operational controls: deramp, disable an experiment, or remove the tag entirely. Deramp is the standard fast rollback path.
- [What data should I send to Tailor?](https://tailorhq.ai/help/what-data-should-i-send-tailor): Send the minimum useful data needed for targeting, personalization, measurement, and analysis.
- [What does Deramp mean?](https://tailorhq.ai/help/what-does-deramp-mean): Deramp means reducing or removing treatment exposure, usually sending traffic back to control.
- [What events does Tailor send to my analytics tool?](https://tailorhq.ai/help/what-events-does-tailor-send-my-analytics-tool): Tailor sends experiment exposure and related experiment metadata so you can analyze outcomes by experiment and variant.
- [What happens if Tailor cannot identify the visitor's company?](https://tailorhq.ai/help/what-happens-if-tailor-cannot-identify-visitor-s-company): Tailor can fall back to default targeting, page-level experiments, UTM signals, device, geo, locale, referrer, or other available signals.
- [What is account-based website personalization?](https://tailorhq.ai/help/what-is-account-based-website-personalization): Account-based website personalization adapts the website or landing page experience based on the visitor's company or account segment.
- [What is agentic marketing, and where does Tailor fit?](https://tailorhq.ai/help/what-is-agentic-marketing): Agentic marketing means agents run the execution while your team keeps the judgment. Tailor applies it to paid traffic: it owns the post-click workflow, everything between the ad click and the conversion learning. Agents scan, propose, build, launch, and measure; you approve what ships; your team keeps strategy, creative, and spend.
- [What is the best Google Optimize replacement for performance marketers?](https://tailorhq.ai/help/what-is-best-google-optimize-replacement-for-performance-marketers): The best replacement depends on what you need. If you want fast landing page experimentation, personalization, analytics events, and downstream performance measurement, look for a tool built for the post-click marketing loop.
- [What is the difference between A/B testing and personalization?](https://tailorhq.ai/help/what-is-difference-between-ab-testing-personalization): A/B testing measures which experience performs better. Personalization changes the experience for a specific visitor segment. The strongest workflows often combine both.
- [What is the difference between personalization and experimentation?](https://tailorhq.ai/help/what-is-difference-between-personalization-experimentation): Personalization changes the experience for a specific audience. Experimentation measures whether that change improves outcomes.
- [What is IP enrichment, and what data does it return?](https://tailorhq.ai/help/what-is-ip-enrichment-what-data-does-it-return): IP enrichment gives Tailor extra context about the visitor so the page can match likely intent. Common fields are company-level and firmographic attributes such as geography, industry, and company size, plus inferred buyer or context signals when available.
- [What is message match, and why does it matter?](https://tailorhq.ai/help/what-is-message-match-why-does-it-matter): Message match means the landing page continues the same promise, intent, and context that caused the visitor to click.
- [What is a post-click optimization platform?](https://tailorhq.ai/help/what-is-post-click-optimization-platform): A post-click optimization platform helps teams improve what happens after someone clicks: landing page relevance, conversion, experimentation, measurement, and downstream outcomes.
- [What is post-click personalization?](https://tailorhq.ai/help/what-is-post-click-personalization): Post-click personalization means adapting the landing page experience after someone clicks an ad, email, search result, or campaign link so the page better matches their intent.
- [What is Tailor Agent, and what can it do?](https://tailorhq.ai/help/what-is-tailor-agent): Tailor Agent is Tailor's built-in AI teammate. It does the work, not just the analysis: it sees your page, drafts tests, edits copy, adds new elements, inserts custom scripts, and verifies its changes in a rendered preview before showing you.
- [What is Tailor's Competitive Intelligence Agent?](https://tailorhq.ai/help/what-is-tailor-s-competitive-intelligence-agent): Tailor's Competitive Intelligence Agent monitors competitor pages and messaging over time so teams can spot meaningful changes faster.
- [What is Tailor’s automatic loop?](https://tailorhq.ai/help/what-is-tailors-automatic-loop): The automatic loop is how Tailor runs optimization for you: it collects data from your traffic and ads, proposes specific tests with the reasoning attached, you approve, it launches without a dev queue, and it learns per segment. Then it repeats.
- [What is the Ads Performance Map?](https://tailorhq.ai/help/what-is-the-ads-performance-map): A tab in Analytics, Ad Insights that plots every campaign as one dot (spend vs. cost per result) against your target CPA, zoned Scale, Wait, or Kill, so you can see where to move budget at a glance.
- [What is the free ad-to-page audit?](https://tailorhq.ai/help/what-is-the-free-ad-to-page-audit): The free ad-to-page audit scans your live Google and Meta ads and the pages they point to, shows how many are mismatched, and estimates what the gap is costing you. It runs live in minutes. No install, no security review, no meeting required.
- [What makes a good Tailor test hypothesis?](https://tailorhq.ai/help/what-makes-good-tailor-test-hypothesis): A good hypothesis connects a specific audience or traffic source to a specific page change and a measurable business outcome.
- [What prevents unauthorized or unsafe changes from being pushed live?](https://tailorhq.ai/help/what-prevents-unauthorized-unsafe-changes-from-being-pushed-live): Nothing goes live automatically. Every variant starts in draft state, editing does not affect live traffic until explicitly activated with a chosen traffic percentage, and all actions are captured in the audit trail.
- [What release and change-management controls exist for the Tailor script and product updates?](https://tailorhq.ai/help/what-release-change-management-controls-exist-for-tailor-script-product): Platform and script changes go through automated test gates, code review, environment isolation, staged promotion from staging to production, and rollback capability.
- [What’s the difference between a tailored page and an experiment?](https://tailorhq.ai/help/what-s-difference-between-tailored-page-experiment): A tailored page is a customized version of a webpage. An experiment tests tailored page variants against the original (control) to measure performance. Every new tailored page comes with a simple 50/50 A/B test out of the box.
- [What’s the exact script/tag I need to add, and where do I put it?](https://tailorhq.ai/help/what-s-exact-script-tag-i-need-add-where-do): Use the Tailor install snippet from your Tailor workspace. Best practice is to load it early (often in <head>), but GTM Custom HTML works for most sites.
- [What’s the minimum traffic needed for a test to be worth running?](https://tailorhq.ai/help/what-s-minimum-traffic-needed-for-test-be-worth-running): Rule of thumb: you want enough conversions that you’re not just reading noise. If conversions are low, run fewer variants, make bigger changes, or test a higher-frequency proxy goal first.
- [What should go in my Tailor launch checklist?](https://tailorhq.ai/help/what-should-go-in-my-tailor-launch-checklist): Include page URL, audience, goal, preview links, analytics verification, mobile QA, traffic allocation, owner, launch date, and rollback plan.
- [What should I check before publishing a tailored page?](https://tailorhq.ai/help/what-should-i-check-before-publishing-tailored-page): Check layout, mobile, targeting, preview links, tracking, consent behavior, analytics events, and fallback/default experience.
- [What should I do after a Tailor test loses?](https://tailorhq.ai/help/what-should-i-do-after-tailor-test-loses): Do not just delete it. Diagnose why it lost and turn the result into a sharper next test.
- [What should I do after a Tailor test wins?](https://tailorhq.ai/help/what-should-i-do-after-tailor-test-wins): Promote the winner, document the learning, and test the next highest-leverage hypothesis.
- [What should I not use Tailor for?](https://tailorhq.ai/help/what-should-i-not-use-tailor-for): Do not use Tailor for changes that require backend logic, checkout/payment correctness, authentication logic, legal compliance workflows, or permanent site architecture changes.
- [What should I send Tailor when asking for help with a test idea?](https://tailorhq.ai/help/what-should-i-send-tailor-when-asking-for-help-test): Send the page URL, traffic source, target audience, current goal, desired change, and what you want to learn.
- [What should my first Tailor test be?](https://tailorhq.ai/help/what-should-my-first-tailor-test-be): Start with a simple A/B test on a high-intent landing page, changing the headline, proof, CTA, and objection handling for one clear audience or intent segment.
- [What should performance marketers test on landing pages first?](https://tailorhq.ai/help/what-should-performance-marketers-test-on-landing-pages-first): Start with the parts of the page most likely to change visitor belief: headline, subhead, proof, CTA, offer, objection handling, and above-the-fold message match.
- [What types of pages work best with Tailor?](https://tailorhq.ai/help/what-types-pages-work-best-tailor): Tailor works best on pages where the visitor's intent matters and the page has enough traffic or conversion volume to learn from changes.
- [What user data does Tailor collect?](https://tailorhq.ai/help/what-user-data-does-tailor-collect): Tailor collects pseudonymous behavioral event data. By default it generates a random visitor ID; if customers pass their own user ID, Tailor hashes it client-side before transmission. IP addresses are processed transiently for optional enrichment and are not stored in analytics data.
- [When should I ramp a winner to 100%?](https://tailorhq.ai/help/when-should-i-ramp-winner-100): Ramp to 100% when the variant shows a clear win on the primary goal and you have ruled out obvious tracking, traffic mix, or novelty issues.
- [Where is Tailor's data stored?](https://tailorhq.ai/help/where-is-tailor-s-data-stored): Tailor's production data is stored in the United States.
- [Who is Tailor built for?](https://tailorhq.ai/help/who-is-tailor-built-for): Tailor is built for performance marketing and growth teams that want to improve conversion, ROAS, pipeline, or revenue from high-intent traffic.
- [Why are my numbers different between Tailor and GA4/Ads Manager?](https://tailorhq.ai/help/why-are-my-numbers-different-between-tailor-ga4-ads-manager): Normal across Tailor vs GA4 vs Ads Manager vs Amplitude. Differences come from different definitions (users/sessions/events), consent/ad blockers, ads platform attribution vs analytics measurement, cross-domain tracking joins, and dedupe and timing differences.
- [Why did performance drop after launching Tailor? How do I roll back fast?](https://tailorhq.ai/help/why-did-performance-drop-after-launching-tailor-how-do-i): Fast rollback: Deramp. Deramp traffic back to control using either the Tailor Chrome extension or the web app at app.tailorhq.ai. Confirm metrics stabilize, then diagnose.
- [Why do I see the control page when I expect a treatment?](https://tailorhq.ai/help/why-do-i-see-control-page-when-i-expect-treatment): You might not be allocated to the test group. Tailor randomly assigns visitors, so you may land in control. Try incognito mode, add ?preview_mode=treatment to the URL, or clear your cache and force refresh.
- [Why does Tailor personalization flash after the page loads? Can we prevent it?](https://tailorhq.ai/help/why-does-tailor-personalization-flash-after-page-loads-can-we): Tailor is designed to apply changes quickly, often within the first moment of page load. Timing depends on tag placement, network, page weight, and the complexity of the changes. Reach support@tailorhq.ai if flash is noticeable.
- [Why isn’t the extension detecting my page (‘no tag found’)?](https://tailorhq.ai/help/why-isn-t-extension-detecting-my-page-no-tag-found): First check ?t_healthcheck. If the overlay doesn’t appear, Tailor isn’t running on that page yet (tag missing/blocked).
- [Workflow: promote winner + keep iterating](https://tailorhq.ai/help/workflow-promote-winner-keep-iterating): If a variant wins on the primary goal, promote it (or set it as new control), then test the next hypothesis against it. That’s how you compound gains.
- [Know What to Change Next](https://tailorhq.ai/know-what-to-change-next): Tailor turns campaign, keyword, account, visitor, and funnel signals into recommended page changes growth teams can launch, test, and measure.
- [Product Overview](https://tailorhq.ai/one-pager): One-page summary of Tailor AI. Automatic experience tailoring: adapt pages to visitor intent, test per segment, measure conversion and revenue impact.
- [Pricing Plans](https://tailorhq.ai/pricing): Simple pricing for Tailor AI. Agents scan your ad accounts, propose and build tests, and measure results to revenue. You approve what ships. Plans from $250/mo, 60-day free trial.
- [Release Notes](https://tailorhq.ai/release-notes): Latest Tailor AI updates: new features, improvements, and fixes. Stay current with our AI-powered personalization platform.
- [Vulnerability Disclosure Policy](https://tailorhq.ai/security/disclosure): How to report security vulnerabilities to Tailor AI, what we consider in scope, and what you can expect from us.

## Features

- [Features](https://tailorhq.ai/features): Identify who is visiting, adapt landing pages to their intent, and improve performance with faster tests, clearer signal, and real-time monitoring.
- [A/B Testing Tool for Growth Teams](https://tailorhq.ai/features/ab-testing-analytics): The A/B testing tool built into Tailor's automatic site personalization. Test per segment, tie results to revenue, and catch shifts early. No dev queue.
- [Audience Targeting](https://tailorhq.ai/features/audience-targeting): Target visitors by ad source, device, location, or custom rules. Show the right page variant to the right audience automatically.
- [Competitor Page & Messaging Tracking](https://tailorhq.ai/features/competitive-intelligence): Track competitor messaging and offer changes, then turn market moves into response experiments your team can launch and measure.
- [Dynamic CTA Personalization](https://tailorhq.ai/features/dynamic-ctas): Personalize CTA buttons per segment and A/B test them built in. Tie CTA variants to downstream conversion events like trials, pipeline, and revenue, not just clicks.
- [Element-Level A/B Testing & Page Control](https://tailorhq.ai/features/element-control): Show, hide, or swap page elements for different audiences. Control exactly what each visitor sees without touching code.
- [AI Image Tailoring & Generation](https://tailorhq.ai/features/image-tailoring): Swap or generate images per segment, driven by ad, keyword, device, or company signals. Every variant is A/B tested against real outcomes.
- [Personalize Pages](https://tailorhq.ai/features/instant-personalization): Create personalized landing pages by campaign, keyword, account, audience, geo, and device, without waiting on engineering.
- [Publish Landing Page Changes Without Code](https://tailorhq.ai/features/instant-publishing): Edit live pages and publish per segment in seconds, no code needed. Every change runs as an A/B test, with alerts that catch drops before CAC spikes.
- [Publishing & Deployment](https://tailorhq.ai/features/live-deployment): Edit live pages directly and go live in seconds. Tests run per segment with A/B testing built in, tied to downstream outcomes like pipeline and revenue. No dev queue, no staging delays.
- [Performance Insights](https://tailorhq.ai/features/performance-insights): Track landing page performance in real time, connect it to conversion and revenue, and catch drops before CAC creeps up.
- [AI Copy Personalization](https://tailorhq.ai/features/smart-copy-tailoring): AI rewrites headlines and copy for each audience. Match your messaging to visitor intent and lift CTR and signups.

## Use cases

- [Use Cases](https://tailorhq.ai/use-cases): See how performance marketing teams use Tailor to match landing pages to ads, personalize by company, and adapt by language and device.
- [Identify Anonymous Visitors for B2B Growth Teams](https://tailorhq.ai/use-cases/anonymous-traffic): High-intent accounts visit your site every day and see a generic page. Identify the company, personalize the experience, and prove the pipeline impact.
- [B2B Website Personalization with Company Enrichment](https://tailorhq.ai/use-cases/b2b-website-personalization): Personalize your website by company, industry, and size using IP-based enrichment. Show relevant messaging to target accounts without manual segmentation.
- [B2C Website Personalization by Campaign, Device, and Geo](https://tailorhq.ai/use-cases/b2c-website-personalization): Personalize B2C landing pages by campaign, keyword, creative, device, geography, and new vs. returning visitors. Measure lift on trials, subscriptions, and leads.
- [Ecommerce Personalization for Paid Traffic](https://tailorhq.ai/use-cases/ecommerce-personalization): Match store landing pages to ad campaigns, test offers without theme changes, and measure the revenue impact per segment. Works with Shopify and any storefront.
- [Google Ads Landing Pages by Keyword Intent](https://tailorhq.ai/use-cases/google-ads-landing-pages): Match your landing page to every Google Ads keyword. Tailor adapts headlines, copy, and CTAs by search intent without building new pages.
- [LinkedIn Ads Landing Page Personalization for B2B Pipeline](https://tailorhq.ai/use-cases/linkedin-ads-landing-pages): Match landing pages to LinkedIn audiences, account lists, industries, and campaign intent. Adapt proof, use cases, and CTAs for the buyers you are trying to convert.
- [Localized Landing Pages by Geo, Language, and Device](https://tailorhq.ai/use-cases/localization-device): Adapt landing pages to visitor location, language, and device without building separate pages. Geo-targeting, translation, and mobile optimization for paid campaigns.
- [Meta Ads Landing Page Personalization for Higher ROAS](https://tailorhq.ai/use-cases/meta-ads-landing-pages): Match landing pages to Meta ad creative and audience. Personalized landing pages per campaign theme, no new pages to build.

## Documentation

- [Docs](https://tailorhq.ai/docs): Learn how to use Tailor AI. Guides for page tailoring, A/B testing, audience targeting, publishing, and analytics integration.
- [A/B Testing Guide](https://tailorhq.ai/docs/ab-testing): Set up A/B tests in Tailor AI. Learn to create experiments, split traffic, track conversions, and pick winners with confidence.
- [Account Lists](https://tailorhq.ai/docs/account-lists): Create lists of target companies, get Slack alerts when they visit, filter visitor analytics, and target experiments to specific accounts.
- [Alt Text Editing](https://tailorhq.ai/docs/advanced-features/alt-text-editing): Edit image alt text in Tailor AI. Improve accessibility and SEO for your personalized landing page variants.
- [API Integration Guide](https://tailorhq.ai/docs/advanced-features/api-integration): Integrate Tailor AI with your stack. Use our API to access personalization data and connect to your existing tools.
- [Copy Tailored Pages](https://tailorhq.ai/docs/advanced-features/copy-tailored-pages): Duplicate page variants in Tailor AI. Copy successful customizations to new audiences and save time on setup.
- [Tailor Agent](https://tailorhq.ai/docs/ai-insights): Tailor's built-in AI teammate: it analyzes your traffic and pages, drafts tests, edits copy, adds elements, and verifies its changes. You review, it executes.
- [Amplitude Sync for Downstream Conversions](https://tailorhq.ai/docs/amplitude-data-sync): Sync Amplitude events into Tailor AI to measure how experiments impact downstream conversions like purchases, signups, and pipeline.
- ["Made with Tailor AI" Badge](https://tailorhq.ai/docs/brand-badge): What the Made with Tailor AI badge is, where it appears, and how to have it removed.
- [Conversion Goals & Tracking](https://tailorhq.ai/docs/conversion-goals): Set up conversion goals in Tailor AI. Track form submissions, offsite conversions, GA4 events, and CRM pipeline impact.
- [Cookie Consent & Compliance](https://tailorhq.ai/docs/cookie-consent): How Tailor handles visitor cookie consent. Your experiments and fully ramped pages run for every visitor regardless of consent. When a consent provider is configured, consent controls only whether Tailor identifies the visitor and tracks engagement analytics.
- [Experiments Workflow](https://tailorhq.ai/docs/experiments-workflow): Run experiments in Tailor AI from start to finish. Multi-variant tests, ramping, reading results, promoting winners, and stopping tests safely.
- [Getting Started](https://tailorhq.ai/docs/getting-started): Get Tailor AI running on your website in minutes, completely self-serve. Add the tag, install the extension, and start personalizing.
- [MCP Integration](https://tailorhq.ai/docs/mcp-integration): Connect AI assistants and agentic workflows to Tailor via MCP. Query traffic, experiments, enrichment, ads, and more from Claude Code, Claude Desktop, or custom agents.
- [Performance & Compatibility](https://tailorhq.ai/docs/performance-compatibility): How Tailor AI affects Core Web Vitals, page speed, SPAs, CDNs, and iframes. Technical details for engineering and performance teams.
- [QA & Preview](https://tailorhq.ai/docs/qa-preview): QA your Tailor AI experiments before launch. Preview variants, share links, test behind login walls, and force yourself into treatment groups.
- [Redirect Tests](https://tailorhq.ai/docs/redirect-tests): Split visitors across two or more pages and see which one wins. Join the test with your current link, or with a redirect link that sends visitors straight to their page.
- [Security & Trust](https://tailorhq.ai/docs/security): Tailor AI security and trust documentation. SOC 2 status, data handling, enrichment, client-side script controls, audit trails, SSO, and rollout safeguards.
- [Sending Events to Analytics](https://tailorhq.ai/docs/sending-events-to-analytics): Send Tailor AI experiment events to Amplitude, Google Analytics, or Segment. Toggle-based setup or manual callback integration.
- [SEO Cloaking & Personalization](https://tailorhq.ai/docs/seo-cloaking): Understand SEO cloaking vs legitimate personalization. Learn why Tailor's A/B testing and audience targeting is designed to align with Google's guidance for A/B testing and personalization.
- [Shopify Integration](https://tailorhq.ai/docs/shopify-integration): Install Tailor AI on Shopify with one click and track conversions. Create a Shopify goal in Tailor, pick the Shopify event to track, and completed checkouts and their revenue flow to your experiments automatically.
- [Targeting Guide](https://tailorhq.ai/docs/targeting-guide): Configure targeting in Tailor AI. Target by UTM, campaign, geo, device, IP enrichment, and more. Learn best practices for audience segmentation.
- [Test Ideas](https://tailorhq.ai/docs/test-ideas): Tailor keeps a ranked queue of upcoming tests built automatically from your ads, traffic, and pages. Each one is ready to launch; you approve, it runs.
- [Page Translation](https://tailorhq.ai/docs/translation): Translate a whole page into another language and keep it in sync as the source page changes, with per-section review of every update.
- [Troubleshooting & Debugging](https://tailorhq.ai/docs/troubleshooting): Fix common Tailor AI issues: no data, wrong experience, tag not found, FOUC, performance drops, and number discrepancies.
- [Agentic Tailoring](https://tailorhq.ai/docs/videos/agentic-tailoring): This agent is able to use Tailor to make page changes for you and ideate with you on how best to improve the page.
- [CTA Destinations](https://tailorhq.ai/docs/videos/cta-destinations): Customize where your call-to-action buttons lead for different audiences
- [Copy Customization](https://tailorhq.ai/docs/videos/customizing-copy): Learn how to customize text content for targeted audiences
- [Dynamic Text Replacement](https://tailorhq.ai/docs/videos/dynamic-text-replacement): Replace text dynamically based on URL parameters
- [Hide Page Elements](https://tailorhq.ai/docs/videos/hiding-elements): Learn how to hide specific elements on your pages for different audiences
- [GTM Tag Installation](https://tailorhq.ai/docs/videos/installing-gtm-tag): Step-by-step guide to installing the Tailor tag using Google Tag Manager
- [Page Translation](https://tailorhq.ai/docs/videos/page-translation): Translate pages for international audiences
- [Publishing Pages](https://tailorhq.ai/docs/videos/publishing-pages): Learn how to publish your tailored pages to production
- [Chrome Extension Setup](https://tailorhq.ai/docs/videos/setting-up-extension): Watch how to set up the Tailor AI Chrome extension
- [Image Tailoring](https://tailorhq.ai/docs/videos/tailoring-images): Swap and customize images for different visitor segments
- [Landing Page Tailoring](https://tailorhq.ai/docs/videos/tailoring-landing-pages): Quick guide to tailoring landing pages for different audiences
- [Targeting Options](https://tailorhq.ai/docs/videos/targeting-options): Learn about the different targeting options available in Tailor
- [Visitor Identification](https://tailorhq.ai/docs/visitor-identification): Know who's behind your traffic. Learn how to identify companies visiting your website, observe segments passively, or act on them with personalization.

## Integrations

- [Integrations](https://tailorhq.ai/integrations): Tailor works with any site via one script tag. Guides for Webflow, WordPress, Framer, React, GA4, Amplitude, Google Ads, Meta, LinkedIn, and MCP.
- [Amplitude Integration for Landing Page Experiments](https://tailorhq.ai/integrations/amplitude): See landing page experiment results in your Amplitude dashboards. Track variant performance, conversion funnels, and downstream impact alongside product data.
- [Framer A/B Testing and Personalization with Tailor](https://tailorhq.ai/integrations/framer): Add A/B testing and personalization to any Framer site. One script tag, no code changes. Test headlines, images, and CTAs without rebuilding in Framer.
- [GA4 Integration for Landing Page Experiments and Personalization](https://tailorhq.ai/integrations/ga4): Send Tailor experiment data to Google Analytics 4. See A/B test results, conversion events, and personalization impact in your existing GA4 dashboards.
- [Tailor MCP: Connect Your AI Agents to Website Experiments](https://tailorhq.ai/integrations/mcp): Connect your AI agents to Tailor through MCP. Agents propose experiments, build variants, and set targeting on your live site. You approve what ships.
- [React and Next.js A/B Testing Without Deploy Cycles](https://tailorhq.ai/integrations/react-nextjs): Run landing page experiments on React and Next.js sites without code changes or deploy cycles. One script tag, works with SSR and static builds.
- [Webflow A/B Testing and Personalization with Tailor](https://tailorhq.ai/integrations/webflow): Add A/B testing and personalization to any Webflow site. One script tag, no code changes. Test headlines, images, and CTAs without touching Webflow.
- [WordPress A/B Testing and Personalization Without Plugins](https://tailorhq.ai/integrations/wordpress): Run A/B tests and personalize WordPress landing pages without plugins, dev queues, or page builders. One line of JavaScript, works with any theme.

## Guides

- [Guides](https://tailorhq.ai/guides): Maintained buyer guides for performance teams choosing tools and operating models. Updated when the market changes, not when we need traffic.
- [Ad-to-Page Playbook: Match Ads to Pages](https://tailorhq.ai/guides/ad-to-page-playbook): A step-by-step playbook for matching ad messaging to landing pages across Google Ads, Meta, and LinkedIn. Built from hundreds of growth team conversations.
- [Build Your Own Agentic Marketing Loops with Tailor MCP](https://tailorhq.ai/guides/agentic-marketing-loops): A practical guide to wiring your own AI agents into closed marketing loops, using Tailor's MCP tools as the building blocks: signal, propose, build, approve, launch, learn.
- [The Agentic Marketing Maturity Ladder](https://tailorhq.ai/guides/agentic-marketing-maturity): Five stages from manual CRO to program autopilot. Locate your team, see what the next stage looks like, and what it takes to get there.
- [AI Landing Page Personalization Tools (2026)](https://tailorhq.ai/guides/ai-landing-page-personalization-tools): 7 AI landing page personalization tools compared for performance marketing teams. Covers operating models, capability tradeoffs, and how to choose based on your real bottleneck.
- [Best A/B Testing Tools (2026)](https://tailorhq.ai/guides/best-ab-testing-tools): 8 A/B testing tools ranked for growth teams in 2026. Honest strengths and limitations for each, plus how much traffic you really need to test.
- [Best Conversion Rate Optimization Tools (2026)](https://tailorhq.ai/guides/best-conversion-rate-optimization-tools): 8 conversion rate optimization tools ranked for growth teams. Testing platforms, page builders, and personalization engines, compared by bottleneck.
- [Conversion Rate Optimization: The Complete Guide](https://tailorhq.ai/guides/conversion-rate-optimization): What conversion rate optimization is, why site-wide averages mislead, where the classic CRO process breaks, and how automatic per-segment testing changes the playbook.
- [Enterprise Compliance for Page Testing](https://tailorhq.ai/guides/enterprise-compliance): How enterprise marketing teams run landing page experiments without breaking compliance. Approval workflows, brand guardrails, and data handling.
- [Google Optimize Replacement for A/B Testing](https://tailorhq.ai/guides/google-optimize-replacement): Google Optimize shut down in September 2023. What to look for in a replacement, how Tailor compares, and how to be testing again this week.
- [Landing Page Optimization: A Practical Guide for Paid Traffic](https://tailorhq.ai/guides/landing-page-optimization): What landing page optimization is, which elements actually move conversion, why one page can't fit every campaign, and how automatic per-segment testing changed the playbook.
- [Measure Landing Page Impact Beyond Clicks](https://tailorhq.ai/guides/measure-to-pipeline): Tie landing page experiments to trial starts, pipeline, and revenue. A measurement framework for growth teams who need to prove mid-funnel impact.
- [Multi-Channel Attribution for Page Tests](https://tailorhq.ai/guides/multi-channel-attribution): How to attribute landing page experiment wins by channel. A framework for measuring per-channel impact across Google Ads, LinkedIn, Meta, organic, and more.
- [7 Optimizely Alternatives (2026)](https://tailorhq.ai/guides/optimizely-alternatives): 7 Optimizely alternatives ranked honestly. Who should switch, who shouldn't, and how to pick by the bottleneck that made you search.
- [Personalization Playbook for Paid Acquisition](https://tailorhq.ai/guides/personalization-playbook): A practical guide to personalizing landing pages by campaign, keyword, audience, and company. For growth and marketing teams, not enterprise teams.
- [Page Testing Without Eng Bottlenecks](https://tailorhq.ai/guides/testing-without-eng-bottlenecks): How marketing teams run landing page experiments without dev queues. Real patterns from growth teams who cut page launch time from weeks to minutes.
- [Traffic Thresholds: Experiment vs. Automate](https://tailorhq.ai/guides/traffic-thresholds): How much traffic do you need to A/B test landing pages? A practical guide to statistical thresholds, Bayesian methods, and when automation beats manual testing.

## Comparisons

- [Compare Tailor to Other Tools](https://tailorhq.ai/compare): Side-by-side comparisons of Tailor vs Optimizely, VWO, Unbounce, Instapage, Mutiny, Coframe, and Webflow Optimize. Choose the right landing page personalization tool for your team.
- [Tailor vs AI Page Builders (Claude, Lovable, v0): What's Different](https://tailorhq.ai/compare/tailor-vs-ai-page-builders): AI page builders generate pages fast. Tailor closes the loop: per-segment personalization, A/B tests, visitor identification, and downstream measurement so you know which page wins for which traffic.
- [Tailor vs Coframe: Per-Segment Testing vs Autonomous Page Optimization](https://tailorhq.ai/compare/tailor-vs-coframe): Tailor vs Coframe compared. Tailor tests per campaign, keyword, and audience and ties each test to signups, pipeline, and revenue. Coframe runs autonomous optimization on a single page against aggregate conversion.
- [Tailor vs Instapage: The Alternative for Ad-to-Page Match On Your Site](https://tailorhq.ai/compare/tailor-vs-instapage): Tailor vs Instapage compared for paid acquisition teams. Ad-to-page personalization on your existing site vs building hosted page-per-ad experiences in a separate platform.
- [Tailor vs Mutiny: Landing Page Personalization Compared](https://tailorhq.ai/compare/tailor-vs-mutiny): Tailor vs Mutiny compared for B2B teams. Paid traffic personalization with downstream metrics vs. enterprise ABM website personalization. Different use cases, different price points.
- [Tailor vs Optimizely: Landing Page Personalization Compared](https://tailorhq.ai/compare/tailor-vs-optimizely): Tailor vs Optimizely compared for SMB and mid-market performance teams. See which tool fits teams that need marketer-led speed vs. enterprise experimentation governance.
- [Tailor vs Unbounce: The Alternative for Personalizing Existing Pages](https://tailorhq.ai/compare/tailor-vs-unbounce): Tailor vs Unbounce compared for performance marketing teams. Personalize and test your existing pages per campaign, keyword, and audience vs building standalone pages in a hosted builder.
- [Tailor vs Visitor Identification Tools: ID + Action Compared](https://tailorhq.ai/compare/tailor-vs-visitor-identification-tools): Visitor ID tools (Clearbit, RB2B, Warmly, 6sense, Demandbase) identify visiting companies and route them to sales. Tailor identifies and acts on it with personalization, experiments, and pipeline measurement.
- [Tailor vs VWO: Landing Page Personalization Compared](https://tailorhq.ai/compare/tailor-vs-vwo): Tailor vs VWO compared for performance marketing teams. Marketer-led variant shipping with built-in enrichment and downstream metrics vs. full CRO research suite with heatmaps and session recordings.
- [Tailor vs Webflow Optimize: Landing Page Testing Compared](https://tailorhq.ai/compare/tailor-vs-webflow-optimize): Tailor vs Webflow Optimize compared. Platform-agnostic personalization with enrichment and downstream metrics vs. CMS-native experimentation for Webflow-only teams.

## Case studies

- [Customer Case Studies](https://tailorhq.ai/case-studies): Real results from Tailor AI customers. See how companies increased CTR, signups, and pipeline with AI-powered landing page personalization.
- [ClickUp Built Its Own CRO Agent on Tailor's MCP | ClickUp Case Study](https://tailorhq.ai/case-studies/clickup-agent-7c4e1b93a5d82f60): ClickUp connected an in-house CRO agent to Tailor over MCP. It now proposes and launches most of their landing page tests, and folds each result into the next round.
- [Localizing 9 Pages in Minutes, Not Weeks | ClickUp Case Study](https://tailorhq.ai/case-studies/clickup-i18n-d4f2a8b1c6e9374b): How ClickUp localized 9 marketing pages across 4 languages in minutes, not weeks, using Tailor's automated translation pipeline with a lightweight human review loop.
- [+19% CTR Lift by Syncing Landing Page Headlines with Google Ads SEM | ClickUp Case Study](https://tailorhq.ai/case-studies/clickup-sem-9e3a7b4f5c8d2a16): How ClickUp lifted CTR up to 19% by syncing landing page headlines with Google Ads SEM value propositions, with downstream impact verified in Amplitude.
- [+91% CVR Lift by Tailoring Pages to Visitor Intent | Headspace Case Study](https://tailorhq.ai/case-studies/headspace-5772a6c9a76bab22): Headspace lifted conversion rate up to 91% with Tailor by matching landing page headlines to ad intent, then rebuilding high-intent pages as focused squeeze pages.
- [+43% CTR by Personalizing Pages to SEM Keywords | PDF Expert Case Study](https://tailorhq.ai/case-studies/pdf-expert): PDF Expert increased CTR by 43% with keyword-matched landing pages. See how Tailor AI personalization drove real results.
- [+69% CTR by Optimizing Above-the-Fold Layout on Guide Pages | PropertyGuru Case Study](https://tailorhq.ai/case-studies/propertyguru): PropertyGuru increased CTR by up to 69% on high-traffic guide pages by testing targeted above-the-fold layout changes with Tailor AI.
- [A Daily Target-Account Feed That Converts 2.5x Better | Readdle Case Study](https://tailorhq.ai/case-studies/readdle-sales-7bdcb40949f3688a): Readdle's sales team had no website signal at all. Tailor identifies the companies landing on PDF Expert and Fluix, then filters them by how they read the page. The visitors that survive the filter convert 2.5x more often, on both products.
- [A 13% Lift on the Homepage, No Dev Queue | ShopBack Case Study](https://tailorhq.ai/case-studies/shopback): ShopBack's US marketing team specified a new homepage hero, Tailor built it in the browser, and they A/B tested it against the original homepage design. CTA clicks were up 13% in four days.
- [+32% CTA Conversion by Replacing the Homepage Popup | ShopBack Case Study](https://tailorhq.ai/case-studies/shopback-3e7c91af52d06b84): ShopBack ran two homepage experiments with Tailor in twelve days, with no engineering time. An animated headline lifted CTA conversion 13%, and a new popup lifted it another 32%.

## Blog

- [Blog](https://tailorhq.ai/blog): Expert tips on landing page optimization, A/B testing strategies, and AI personalization. Learn how top marketers lift signups and pipeline.
- [Engineering Blog](https://tailorhq.ai/engineering): Technical deep dives from the Tailor engineering team. How we build, ship, and scale our AI-powered personalization platform.

## Blog posts

- [1-Click Landing Page Translation for Global Markets](https://tailorhq.ai/blog/1-click-translation-global-landing-pages): Translate landing pages in one click, in 30 seconds. Every headline, CTA, and image adapted instantly. No duplicate pages or messy workflows.
- [Hard Work vs Smart Work: From Stanford to Startups](https://tailorhq.ai/blog/996-work-culture-hard-work-smart-execution): 996 culture isn't new. Knowing when to lean on effort versus experience makes the difference. Lessons from Stanford to building a startup.
- [A CRO consultant told me our agent wasn't going to take his job. I don't think he's right.](https://tailorhq.ai/blog/a-cro-consultant-told-me-our-agent-wasnt-going-to-take-his-job-i-dont-think-hes): "You built a good product, but it's not going to take my job." A CRO consultant said that to me on a call, looking at an agent that does a good chunk of what he does. I nodded at the time.
- [Ad Dollars Die on the Landing Page, Not in the Ad](https://tailorhq.ai/blog/ad-dollars-die-landing-page-message-match): Most campaign failures aren't about ad creative. They're about broken message match between ads and landing pages. Here's how adaptive pages fix it.
- [Big companies stopped buying smaller ones because they think they can build it now.](https://tailorhq.ai/blog/big-companies-stopped-buying-smaller-ones-because-they-think-they-can-build-it): "Big companies have stopped buying smaller ones. They all think they can just build it now." A PE guy told me that this week. He's not thrilled, obviously, it's his business.
- [INBOUND2025: Connecting with Fellow B2B Marketers](https://tailorhq.ai/blog/building-community-connecting-fellow-marketers-inbound2025): Meeting fellow B2B marketers in person after months of remote support. Real stories from the B2B Marketers War Stories event at INBOUND2025.
- [We Built Our Marketing Site with AI | What We Learned](https://tailorhq.ai/blog/built-marketing-site-with-ai): How we built a marketing site with Lovable and Claude Code, added A/B testing and personalization with Tailor, and learned that the real advantage is optimizing under live traffic.
- [Following Up with LinkedIn Profile Viewers Using Claude Cowork](https://tailorhq.ai/blog/claude-cowork-linkedin-profile-views): I used Claude Cowork to scan my LinkedIn profile viewers, filter for marketing titles, and send connection requests automatically on a recurring schedule.
- [How to Design Landing Pages for Humans and AI](https://tailorhq.ai/blog/design-landing-pages-for-humans-and-ai): AI search engines and human visitors read differently. Here's how to structure landing pages for both without hurting conversion.
- [Every team has its own agent now, and the marketing leader can see less than before.](https://tailorhq.ai/blog/every-team-has-its-own-agent-now-and-the-marketing-leader-can-see-less-than): "Every silo is running its own agent, and it's making the chaos worse." A marketing leader told me that about his last company. He's not a skeptic. He wanted more AI, not less.
- [From Consulting AI to Collaborating With It](https://tailorhq.ai/blog/from-consulting-ai-to-collaborating-with-it): AI is moving from assistant to collaborator. Why multi-agent systems and parallel execution change iteration speed.
- [Stanford Founders Demo Day: The Future Is Personal](https://tailorhq.ai/blog/future-personal-stanford-founders-demo-day): Why treating every visitor the same is a missed opportunity. Insights from Stanford Founders Demo Day on AI personalization across digital touchpoints.
- [I asked our agent one vague question and got a better insight than our last three strategy calls.](https://tailorhq.ai/blog/i-asked-our-agent-one-vague-question-and-got-a-better-insight-than-our-last): So I asked our agent a really vague question about a customer's data. Basically just, tell me something interesting about their visitors. And it found something none of us had noticed.
- [inVest Ventures First Anniversary Celebration](https://tailorhq.ai/blog/invest-ventures-first-anniversary-celebration): Reflecting on inVest Ventures' 1-year anniversary as both an LP and a backed founder. Real energy, real support, and big things ahead.
- [Landing Pages Fail at the Moment of Truth](https://tailorhq.ai/blog/landing-pages-fail-moment-of-truth): Most landing pages fail because the message doesn't match why the visitor clicked. Here's how to close the gap between ad promise and page delivery.
- [A/B Testing Is Marketing's Evals Layer](https://tailorhq.ai/blog/marketing-evals-layer-ab-testing-competitive-advantage): AI teams obsess over evals. Growth teams have always had them: A/B tests. Why speed plus measurement is a competitive advantage in marketing.
- [Nano Banana: AI Image Generation Inside Tailor](https://tailorhq.ai/blog/nano-banana-ai-image-generation-tailor): Generate campaign-specific images directly inside your landing pages with Nano Banana. No uploads, no separate tools. Tailor, generate, and test in 2 minutes.
- [OpenAI Images + Tailor AI for Campaign Visuals](https://tailorhq.ai/blog/openai-images-tailor-ai-campaign-visuals): OpenAI Images hit 100M users in week one. Here's how we integrated it into Tailor AI for instant, on-brand campaign visuals without leaving your page.
- [Reconnecting at HumanizeHer | Community Matters](https://tailorhq.ai/blog/power-of-community-reconnecting-humanizeher): Catching up with old friends from LinkedIn days at Erica's HumanizeHer event. Why real community and in-person connections still matter.
- [Landing Page Personalization Talk at PMN](https://tailorhq.ai/blog/professional-marketers-network-landing-page-personalization): Sharing how instant landing page personalization works at the Professional Marketers Network. Tailor pages to any campaign or audience without a dev team.
- [A System for Turning Paid Intent Into Conversion](https://tailorhq.ai/blog/system-turning-paid-intent-into-conversion): Most websites show the same page to every visitor. That works until you buy traffic. Here's a system for matching pages to paid intent signals.
- [We Tested Our Own CTA in Under a Minute | Results](https://tailorhq.ai/blog/tested-our-own-cta-in-under-a-minute): Instead of debating CTAs, we A/B tested them with Tailor in under a minute. Three days later, we had a clear winner with real data.
- [How I Turned 300 Customer Calls Into a Searchable System](https://tailorhq.ai/blog/turning-300-customer-calls-into-a-searchable-system): How to turn hundreds of customer calls into structured product insight using transcripts and AI.
- [Why Paid Teams Optimize Ads and Ignore Landing Pages](https://tailorhq.ai/blog/why-paid-teams-optimize-ads-and-ignore-pages): Why performance marketing teams over-invest in ads and under-invest in landing pages, and how that imbalance quietly increases CAC.

## Engineering posts

- [Changing a Page You Don't Control](https://tailorhq.ai/engineering/changing-a-page-you-dont-control): Why in-place DOM changes survive on some React sites and get clobbered or duplicated on others, and what to do about it: fiber, hydration timing, and when to stop fighting reconciliation.
- [Five Standing Dev Environments](https://tailorhq.ai/engineering/five-standing-dev-environments): How we run five branches and five e2e suites at once with standing git worktree slots, and why idempotent setup and refusing-rather-than-guessing matter more than the isolation itself.
- [The ROI of AI Coding Tools Is Harness Engineering](https://tailorhq.ai/engineering/harness-engineering): How Tailor's engineering team turned Claude Code into a real development partner through context docs, reusable skills, guardrails, parallel infrastructure, and feedback loops.
- [I thought I was working on the cutting edge. Not until our product was drivable by an agent.](https://tailorhq.ai/engineering/i-thought-i-was-working-on-the-cutting-edge-not-until-our-product-was-drivable): I thought I was working on the cutting edge. I wasn't. Not until our product was drivable by an agent. We built an MCP server. Looked like an integration task.
- [Loop Until a Critic Says It's Good](https://tailorhq.ai/engineering/loop-until-a-critic-says-its-good): Why an agent grading its own output isn't a critic, and how to write a review loop with a real exit condition: a separate agent, a comparison instead of an adjective, and permission to say no.
- [Make the Agent Show Its Work](https://tailorhq.ai/engineering/make-the-agent-show-its-work): Why debug output for agentic features should be designed for a model rather than for a human, what belongs in it, and why private-by-default runs make people generate more of it.
- [Not Every Subagent Needs Your Best Model](https://tailorhq.ai/engineering/not-every-subagent-needs-your-best-model): Why the top model draws on a separate, smaller budget than you expect, and how to decide which subagent tasks need judgment versus competence.
- [Testing Serving on Sites We Don't Own](https://tailorhq.ai/engineering/testing-serving-on-sites-we-dont-own): A bookmarklet that sideloads our serving script onto any page, plus how we point a dev build at production-replica config safely, and why real-page tooling beats another test suite.
- [Your Laptop Is Not a CI Server](https://tailorhq.ai/engineering/your-laptop-is-not-a-ci-server): How Tailor cut its push pipeline from 14 minutes to 30 seconds by moving verification onto GitHub Actions, and the race conditions and permission traps we hit along the way.