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    For growth and marketing leaders

    Know what to change next.

    Tailor helps growth teams turn campaign, keyword, account, and visitor signals into tailored page experiences they can launch, test, and measure.

    Runs on your actual site, ads, and traffic.

    Tailor AI generating ranked landing page test ideas, explaining why each one was picked and which audience sees it, then showing the approved copy change live on the page

    Teams running Tailor

    The problem

    More data does not mean clearer decisions.

    Ad platforms
    show campaign performance
    Analytics tools
    show behavior
    CRM
    shows downstream outcomes

    But your team still has to decide which page, segment, message, CTA, proof point, or offer is worth changing.

    Tailor connects those signals and turns them into recommended actions.

    Signals

    Tailor finds signals your team can act on.

    Campaign and keyword intent
    Understand which campaigns, keywords, and audiences are reaching each page.
    Visitor and account identity
    See which companies, industries, regions, and segments are showing intent.
    Page behavior
    Use clicks, scroll depth, engagement, and conversion behavior to spot what is working.
    Funnel outcomes
    Connect page experiences to downstream conversion, pipeline, revenue, or product events.
    Market changes
    Track competitor messaging, offers, and page changes that may require a response.

    AI assistance

    AI assistance from insight to launch.

    Tailor does more than summarize what happened. It helps your team decide what to change, drafts the page update, suggests who should see it, and defines how to measure impact.

    AI helps with

    • Find patterns worth acting on
    • Recommend what to change
    • Draft headlines, CTAs, proof, offers, and sections
    • Suggest targeting rules
    • Create a measurement plan
    • Explain why the recommendation matters

    The output

    Recommended page changes.

    Tailor recommends what to change, why it matters, who should see it, and how to measure impact.

    Recommendation 1

    Create a variant for high-intent enterprise keywords.

    Why

    These visitors show team or business intent, but the current page leads with individual productivity.

    Suggested changes

    • Headline: Built for teams, not just individuals
    • Proof: Add business customer logos
    • CTA: Book a demo
    • Section: Add admin, security, and collaboration benefits

    Targeting

    Visitors from keywords containing "enterprise," "business," "team," or similar intent

    Measure

    Demo clicks, form submissions, and qualified pipeline

    Recommendation 2

    Personalize the page for target accounts in a priority industry.

    Why

    High-value accounts in this segment are visiting the page but converting below average.

    Suggested changes

    • Add industry-specific proof
    • Emphasize the use cases this segment cares about most
    • Adjust the CTA for higher-intent visitors
    • Add customer language from relevant campaigns

    Targeting

    Identified company industry, account list, or campaign audience

    Measure

    Demo requests, target-account engagement, and pipeline impact

    Recommendation 3

    Respond to a competitor's new offer.

    Why

    A competitor is leading with a new pricing, feature, or ROI message. Your page does not address the comparison clearly enough.

    Suggested changes

    • Add ROI proof near the hero
    • Test a value-based counter-message
    • Add comparison proof below the fold
    • Update objection handling for competitor-aware visitors

    Targeting

    High-intent paid, organic, and competitor-comparison traffic

    Measure

    CTA rate, conversion, and pipeline impact

    The loop

    Detect, recommend, launch and measure

    1. 1

      Detect what needs attention

      Tailor identifies campaigns, pages, segments, and funnel patterns worth acting on.

    2. 2

      Recommend what to change

      Tailor suggests page changes tied to the signal, including messaging, proof, CTAs, offers, and targeting.

    3. 3

      Launch with control

      Your team reviews, edits, approves, and launches without waiting on engineering.

    4. 4

      Measure the outcome

      Track whether the change improves conversion, pipeline, revenue, or downstream events.

    Growth safety net

    The signal comes to you.

    Tailor’s Watchdog watches your campaigns, pages, and funnel for the changes that matter: conversion drops, traffic spikes, sources going dark, spend or efficiency shifts. When something moves, it reaches you where you already work, so a problem turns into a recommendation instead of a fire drill.

    It also monitors ad-to-page match and test health, a safety net under your ad spend that keeps conversion holding as campaigns scale.

    Watchdog, where you work

    • Ad-to-page match and test health checks across your campaigns
    • Alerts in Slack, email, or the unified dashboard, alongside your recommendations
    • Ask the Tailor agent follow-up questions right in the Slack thread
    • Campaign-level detail when you connect Google, Meta, and LinkedIn

    The category

    A faster way to act, without another dashboard

    Tailor uses performance data to recommend page changes and measure approved tests.

    Analytics tools
    Show what happened.
    Experiment tools
    Split traffic once you know what to test.
    CMS tools
    Publish pages.

    Tailor

    Turns traffic and funnel signals into page changes your team can launch and measure.

    Control

    AI-assisted changes, with marketers in control

    Tailor suggests the change, copy, targeting, and measurement plan. Your team can edit, approve, launch, ramp, or reject every recommendation.

    Every recommendation includes

    • What to change
    • Why it matters
    • Who should see it
    • How to measure it
    • Whether to ramp, revise, or stop

    See what Tailor would change on your site.

    Get AI-recommended page changes based on your actual site and traffic.

    From recommendation to launch in one workflow