What this is
Data-backed growth opportunities. A reading of your marketing — then a play that hits a lever, with the evidence attached.
Evidence-backed growth analysis for ecommerce
Discover your next move.
We bring together signals from your positioning, competitors and discoverability, then show which growth opportunity deserves a closer look.
No account requiredPublic data only
The problem
Drowning in information. Starving for direction.
A dashboard can tell you conversion dropped. It will not tell you which action is most likely to lift it. Attribution can tell you where the click came from. It will not tell you which decision deserves attention this month.
What this is not
Another dashboard. A PDF audit that dies in a drawer. A tool that reports what happened and leaves you to guess what works next.
Signals in the engine
The harness is built around things we can measure.
Signals is how we build context and memory around your business. It grounds every answer, keeps us from inventing gaps, and turns the reading into a harness that stays aligned with how you actually operate. These four modules ship today; more join as the product grows.
Crawler and sitemap readiness
Robots rules, declared sitemaps and access for important AI discovery crawlers.
Brand momentum in context
Search interest over time, compared with competitors you have confirmed as relevant.
Mentions across buying questions
How the brand and its alternatives appear in assistant answers, with the source evidence retained.
Categories and credible alternatives
Public category evidence and competitor candidates, grounded before they shape the reading.
Built today:4 runnable signal modules11 fingerprint dimensionsSource-linked evidenceHuman in the loop where it matters
Building in public
We are an early-stage product shipping in the open. Pilot stores can try the reading free while it evolves, then stay self-serve or bring us in for hands-on growth support when a play needs a partner.
Talk about a pilot →Example plays
This is what you get back.
One reading, three plays: the one worth doing now, the one that supports it, and the one we refuse to rank until we can see the data behind it. Each shows the time it takes, the uplift it aims for against your goal, what to watch, and what would change our mind.
Guardrails for the reading
- Market
- Home textiles · Netherlands
- Offer
- Own-brand, direct to consumer
- Maturity
- Traction
- Objective
- Profitable growth, not volume
- Capacity
- One marketer, about a day a week
A real reading names your store, your competitors and your sources.
Primary play
fit 88 of 100
Buyers compare us with three cheaper alternatives. What makes them pick us?
What the signals show
- CertainComparison coverage — no page answers a head-to-head questionsource: sitemap and page source, 12 Aug 2026
- Reasonably certainAssistant answers — brand named in 2 of 9 comparison questionssource: assistant sampling, 12 Aug 2026
- Reasonably certainPrice position — above 2 of 3 confirmed competitors on matched productssource: public product pages, 12 Aug 2026
The play
Publish a comparison-ready buying guide
Answer the five questions buyers ask while comparing, connect each answer to the product that satisfies it, and attach proof a buyer can check. It works on the moment the choice is made, not the moment the visit starts.
What would change this: If the confirmed competitor set changes, the comparison changes with it.
Supporting play
fit 71 of 100
There is demand for what we sell. Why are we missing from the answer?
What the signals show
- CertainCrawler access — two discovery crawlers disallowed in robots.txtsource: robots.txt, 12 Aug 2026
- Reasonably certainBuying questions — 6 of 9 high-intent questions have no matching pagesource: query fan-out, 12 Aug 2026
- CertainStructured product information — absent on 3 of 4 category templatessource: page source, 12 Aug 2026
The play
Open the door, then answer the question behind it
Allow the crawlers that feed assistant answers, then publish the three buying questions with the highest intent and no page behind them. Retrievability first — content nothing can fetch cannot be recommended.
What would change this: If the crawlers are already allowed at the CDN, only the second half applies.
Deferred
not ranked
Should we fix the checkout drop-off first?
What the signals show
- UncertainCheckout behaviour — not observable from outside the storesource: no public source
- Reasonably certainDelivery and returns — stated on 1 of 4 product templatessource: page source, 12 Aug 2026
The play
Deferred until we can see orders
Checkout is the most common thing to blame and the hardest to justify from public signals. Connect orders or analytics and we will rank this against the two above, rather than guessing at it now.
What would change this: Connecting orders is what makes this answerable at all.
The learning loop
A decision loop that gets sharper over time.
The first reading needs only your URL. Each correction, connection and completed play makes the next reading more useful than the last.
Read. We read what is public about your store, category and competitors, keep the sources attached, and leave gaps visible instead of guessing.
Focus. Many things could improve. We rank them by likely value, confidence and your capacity, then return three plays: now, supporting, and deferred.
Play. Each play carries the evidence, the effort, the outcome to watch and a review date. Sized for a small team, not a project that needs a budget round.
Improve. On review we re-read the same evidence and show what moved. Corrections, connections and outcomes stay in memory, so month five is sharper than month one.
One URL, three plays
Get control of your growth roadmap.
Monitor what matters, surface the constraints holding growth back, and keep the next move visible. Start self-serve, or bring in consultancy when you want a partner on the play.
No account requiredSelf-serve or consultancy