Mobile product visits fell
- Evidence status
- Supported in comparable search and site data
- Next action
- Inspect affected landing pages
Win more of the right customers. Be found wherever they shop.
Growth teams need to decide where to invest, what to test and how customers will discover the business. We connect channel evidence, product information and operating constraints so those decisions lead to useful action.
Sound familiar?
Spend ignores stock
A promising campaign keeps sending shoppers to a product with limited availability.
Search moved
Organic and AI referrals change while traffic, tracking and conversion tell different stories.
Partners need follow-through
Creator briefs, samples and renewals move through disconnected spreadsheets and inboxes.
- Best for
- Brands, retailers and B2B operators coordinating acquisition across several channels or struggling to explain performance changes.
- First step
- Choose one channel decision or discovery opportunity, then bring recent performance, product economics and the changes made during that period.
- Works with
- Google Merchant Center, analytics, ad platforms, search tools and your product data.
Bring commercial context to the next growth decision.
Illustrative example
Get products ready for AI shopping discovery.
TriggerA target AI shopping channel or priority category is selected.
Source
What it draws on
- Target shopping channels and current eligibility requirements
- Approved product attributes, variants, price and availability
- Storefront access, existing feeds and available referral analytics
What the team sees
| Product | Readiness gap | Next action |
|---|---|---|
| Trail jacket | Material composition unverified | Catalog obtains approved specification |
| City tote | Variant availability differs from feed | Engineering reconciles inventory source |
| Travel pouch | Required fields accepted | Growth checks observable discovery |
What you get
Channel-readiness assessment, corrected product feeds and an update process.
Measured by
- Verified channel-ready product coverage
- Rejected records and time to correct changed facts
- AI
- AI compares approved product information with each surface’s requirements and real buying questions to find missing facts.
- Rules and automation
- Feed mappings and validation rules prepare records for each surface and check what each one accepted.
- Your team
- Your team chooses the surfaces to pursue and approves new product facts before they are published.
Explain changes in organic and AI-referred performance.
TriggerWeekly review or a material search/referral performance change.
Source
What it draws on
- Search Console and available search-platform data
- Site analytics, referrals and comparable order outcomes
- Landing-page, campaign, consent and site-change history
What the team sees
AI referrals appear lower
- Evidence status
- Channel classification changed
- Next action
- Repair comparison before concluding
Conversion declined in one market
- Evidence status
- Order and site data agree
- Next action
- Ecommerce investigates checkout
What you get
Evidence-linked diagnosis distinguishing demand, conversion and measurement issues.
Measured by
- Time from performance change to supported diagnosis
- Completed diagnostic and corrective actions
- AI
- AI compares demand, traffic and conversion evidence and drafts the explanations the data can support.
- Rules and automation
- Scheduled checks flag tracking, consent and channel-classification changes before anyone interprets the numbers.
- Your team
- Your team agrees the comparisons, decides which actions to take and owns the follow-up check.
A promoted product is running low.
An illustrative acquisition plan joins campaign performance to current sellable stock and expected replenishment.
A supplier moves the replenishment date. The campaign recommendation changes before the next budget review.
The handoff
Refresh stock and expected receipts
Identify affected campaigns and creator briefs
Recommend alternatives with margin and customer fit
Approve channel changes and notify partners
Review the result against the original decision
Built around your tools and team.
How we work togetherDecision briefs
Connect channel performance to contribution, stock and customer context with evidence behind each recommendation.
Discovery readiness
Improve the product records, feeds and storefront access required by selected shopping surfaces.
Experiment and partner operations
Turn hypotheses and partnership plans into briefs, named actions, review points and learning.
How we’ll know it’s working.
We agree the measures and a baseline before building, then compare like with like after launch.
| Measure |
|---|
| Commercial valueEvaluate contribution after acquisition costs and the quality of customers reached. |
| Decision speedTrack time from a performance change to a supported decision and completed action. |
| Useful discoveryMeasure verified channel readiness separately from observable referrals, inquiries and sales. |
Connected work.
More connected work
Build a stronger path to your customers. Connect discovery, commercial context and execution.
Prefer to start with discovery?
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