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    Features

    Connect your ads.
    Get tests that build themselves.

    Tailor reads your campaigns, your pages, and your traffic, then proposes the tests worth running and builds each one down to the exact copy change. Approving it is the only step left.

    Once

    • Add one script tag to the site you already have, directly or through GTM
    • Connect Google, Meta, and LinkedIn so campaigns, keywords, and spend come with the traffic

    Then, on repeat

    • Tailor proposes a ranked queue of tests from your ads, pages, traffic, and competitors
    • Each arrives with a hypothesis and already built: the audience, the pages, the exact change, and a preview
    • You approve, and it launches on your existing URL with targeting attached
    • Results train the next round: champions get iterated, dismissed ideas stay gone

    The last step feeds the first.

    Trusted by growth and marketing teams at leading B2C and PLG companies

    01

    Add the tag, connect your ad accounts

    Setup is a script tag on your existing site, plus connecting the ad accounts you already run from settings. No replatform, no rebuild, no separate page library. Connecting the ad accounts is what makes the proposals reflect real spend instead of guesses.

    • One script tag, added directly or through GTM, on the site you already have
    • Connect Google Ads, Meta, and LinkedIn so campaigns, keywords, and spend come with the traffic
    • A Chrome extension for editing live pages, no staging environment required
    • Company enrichment identifies industry, size, and role behind anonymous visits
    • Loads async, and search engines still see your original page

    Example

    A visitor arrives from a LinkedIn campaign targeting security engineers at large fintechs. Tailor knows the campaign, the keyword context, the device, and the company, before deciding what the page should say.

    Traffic totals can look healthy while the accounts you actually want never show up.

    One identified visitor highlighted within a crowd of anonymous website visitors

    02

    Get a ranked queue of tests worth running

    Tailor keeps a standing queue of proposed tests, ordered by expected monthly impact rather than confidence alone, and grouped into waves you can launch in parallel without them fighting over the same visitors. Each one comes with a written hypothesis, the audience it targets, its expected 30-day reach, and the key page changes.

    • Every test states what it changes, for whom, and why that should move conversion, so you can disagree with the reasoning before you spend traffic on it
    • Proposals read your traffic, your pages, your ad accounts, who is visiting, and every test you've already run
    • Competitor intel feeds in too: when a rival rewrites a hero or moves a price, that becomes a test idea
    • A separate Ads Audit reviews a connected Google Ads account for wasted spend, negative-keyword candidates, and ad-to-page mismatch
    • Every plan carries a "How Tailor got here" trail listing what it read, source by source
    • Dismiss anything and future runs stop queueing it

    Example

    A keyword theme is buying clicks that land on a page never written for it. That gap arrives as a specific proposed test, not a dashboard you have to interpret.

    A conversation with Tailor's AI assistant

    03

    The test arrives already built

    Most tools stop at the suggestion and leave the work to you. Tailor builds the variant: the audience it targets, the pages it runs on, its expected reach, and the exact copy changes, with a before and after preview from your live site.

    • Copy, images, CTAs, and any page element are all variables it can change
    • It can also add what isn't there yet: banners, popups, and quizzes built into the live page
    • Targeting is attached when the variant is built, by campaign, keyword, device, geo, or company
    • It renders the preview to confirm the change actually applied, and checks new elements for overlap
    • When it can't verify something, it says so rather than guessing
    • Edit anything it built in the visual editor before you approve

    Reading the data is the setup. The agent building the test is what makes approving it the only work left.

    A single landing page adapting into multiple tailored variants for different audiences

    04

    Nothing ships until you approve it

    Approving launches a real experiment on your existing URL with the targeting already attached. Autonomy here is rule-based, never silent: you decide what goes live, and anything live can be rolled back in one click.

    • Publishing goes to the URLs you already rank for, not a parallel page library
    • Run it as an A/B test, as permanent personalization for that segment, or ramp it to everyone
    • The default is a 50/50 split against your original page; adjust targeting before launch and the audience size re-measures
    • Deramp to zero at any point and the original serves again
    • Approve one test, or a whole wave at once
    A landing page change being published instantly

    05

    Every result feeds the next round

    This is the part that compounds. Runs read the outcomes of your live and rolled-out tests, iterate on the champions, and drop what lost. Judgment happens against signups and revenue pulled from your own analytics and CRM, so a variant that lifts clicks but not pipeline doesn't get promoted.

    • Built-in experimentation, so no separate testing tool is required
    • Downstream conversion events (trials, signups, pipeline, revenue) from your CRM or warehouse
    • Upstream ad data (spend, impressions, keyword, device) tied back to page performance
    • Wins and losses become a standing set of conclusions about your account, so it stops re-proposing what you already disproved
    • Alerts when a winner is ready to call, a test is starved, or traffic shifts before CAC climbs
    • Ask questions in plain language, in the app, in Slack, or from your own agents over MCP

    Example

    A headline that won for one keyword theme becomes the starting point for the next three, while a losing pattern stops being proposed at all.

    A performance chart with an anomaly spike flagged for early detection

    Use cases

    How teams use Tailor

    Match the page to the click

    Match landing page messaging to the keyword, campaign, or ad group that brought the visitor in.

    See which companies are actually visiting

    Show more relevant messaging to visitors from target accounts, enterprise companies, or key industries.

    Localize without rebuilding pages

    Tailor copy, CTAs, and page experiences for different regions and markets.

    Run more tests without waiting on engineering

    Launch tests quickly, measure lift, and scale winners without waiting on a sprint.

    Catch performance issues before they spread

    Spot shifts in traffic quality and landing page performance before they quietly hurt results.

    Why Tailor feels different

    It builds the test, not just the suggestion

    Recommendations are easy. Tailor delivers the finished variant, targeted and previewed, so approving it is the only work left.

    Runs on the site you already have

    A script tag on your existing pages and URLs. No replatform, no hosted page library to keep in sync.

    Built for paid traffic specifically

    Campaign, keyword, and spend context comes in with the visitor, so tests are proposed against what you're actually buying.

    Autonomy with a gate

    Agents do the research and the building. You decide what ships, and anything live reverts in one click.

    From teams using it

    β€œSetting up tests with Tailor AI was incredibly straightforward. We went from idea to live test in minutes, not weeks. The ease of use meant we could experiment more and learn faster than ever before.”

    Taras Mykhalchuk, Senior Marketing Manager, Readdle (PDF Expert)

    Named results from Readdle, PropertyGuru, ShopBack, and NOVOS are in the case studies.

    See these features on your site

    Preview how Tailor could adapt your pages using your ads, traffic signals, and landing pages.