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The pipeline

How StorePilot turns shopper frustration into more revenue

StorePilot does the job of the analyst, expert, designer, and developer you'd normally hire. It runs the full loop from your own visitor data, safely and only with your approval.

  1. 01

    Watch real behavior

    StorePilot tracks clicks, scrolls, searches, add-to-cart, rage clicks, drop-offs, device, and the full customer journey, via sandboxed Web Pixels, consent-aware and privacy-respecting. No injected scripts, no raw event dumps for you to decode.

  2. 02

    Detect friction

    AI finds patterns, not recordings: a buried Add to Cart triggering rage clicks, a sizing-confidence gap, a failed search, a shipping-step drop-off. It identifies what's actually losing sales.

  3. 03

    Explain in plain language

    Each finding is stated the way a merchant talks, e.g. 'On mobile, most shoppers scroll past Add to Cart without seeing it.' (Real finding, illustrative wording.) No jargon, no dashboards to interpret.

  4. 04

    Recommend a specific fix

    Not generic advice, but a store-specific, on-brand change tied to the behavior, with a projected revenue impact and a confidence word (exploratory, likely, strong).

  5. 05

    Generate the variant

    StorePilot builds an actual A/B variant you can preview, using theme-safe app blocks. Nothing rewrites your theme; every change is reversible with one-click restore.

  6. 06

    Test honestly

    It runs the right test for your traffic: concurrent A/B for high traffic, apply-and-measure with a holdback plus cross-store priors for low traffic, and never calls an early winner.

  7. 07

    Measure the truth

    Revenue per visitor is the primary metric. Results are segmented (mobile vs desktop, new vs returning), and significance is enforced.

  8. 08

    Publish the winner

    Every result carries a clear recommended decision (publish B, keep A, or split-ship per device) with one action. You approve; StorePilot publishes, reversibly.

Detection

See detection in action

A mock storefront scan surfacing a real friction pattern.

A continuous loop of how StorePilot works, in four phases. One, Gather: it captures real shopper sessions across mobile and desktop, new and returning visitors, about 1,248 sessions analyzed. Two, Analyze: it reads the behavior signals it saw, including scroll depth, rage clicks, and dwell time. Three, Detect: it finds the friction. Most mobile shoppers scroll past the Add to Cart because it sits below the fold, and there's a cluster of rage clicks near the bottom as they hunt for the buy button. Four, Fix: it recommends pinning a sticky Add to Cart to the bottom of the mobile screen and A/B testing it, projecting a five to nine percent lift in mobile add-to-cart, an estimate to be confirmed on your own data. The moment the opportunity is found, your team is notified in Slack and by email. Numbers shown are illustrative.
Honest testing

See an honest test resolve

Confidence climbs; no winner is called before significance.

Experiment · Product page layout Demo data
Watching revenue per visitor Day 6 of 7
A · Current $1.84 / visitor
B · StorePilot variant $2.21 / visitor
Statistical confidence 88%

Marker = 95% significance. No winner is called before it.

B is ahead +20%, one more day of data to cross 95%.
How it's different

StorePilot vs heatmaps and A/B testing tools

Heatmaps, session recordings, and A/B testing tools hand you data and leave the thinking to you. StorePilot does the work end to end, from spotting the friction to recommending the winner to publish.

Heatmaps & A/B tools

  • Show you recordings, scroll maps, and funnels
  • Leave you to guess the cause and the fix
  • You design, build, and run each test yourself
  • Often stall on “not enough data” for smaller stores

StorePilot AI

  • Finds the exact friction and names the cause in plain language
  • Builds a specific, on-brand fix tied to the behavior
  • Generates the variant and runs an honest, significance-gated test
  • Works on low-traffic stores with apply-and-measure plus priors
Founding-merchant offer

Ready to see it work on your store?

Join the StorePilot AI waitlist and lock in the founding-merchant offer.

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  • 24/7 support from a real human, not a bot
  • Hands-on setup for your store and catalog
  • A CRO expert reviews your first A/B tests by hand
Set up & tested by a real team

Frequently asked questions

How does StorePilot track behavior safely?

Through sandboxed Shopify Web Pixels with consent and privacy built in, never injected scripts. You get insight into intent and failure, not a pile of raw analytics.

Does it change my live theme?

No. All storefront changes go through theme app extensions (app blocks), which are reversible and backed up. You preview before publish, and a one-click restore undoes anything.

What stops it from shipping a bad change?

A pre-launch gate checks rendering, Core Web Vitals, and your brand guidelines before anything goes live. And it's approval-first: nothing publishes without you.

How does it respect my brand?

You set a brand and approach profile: your tone and which tactic families are allowed (urgency, promotions, popups, social proof, trust, layout). StorePilot only proposes on-brand fixes; if urgency is off, you'll never get a countdown timer.