Mobile product visits fell
- Evidence status
- Supported in comparable search and site data
- Next action
- Inspect affected landing pages
Growth & acquisition
Explain changes in organic and AI-referred performance.
Traffic reports show movement but not a useful explanation or next action.
TriggerWeekly review or a material search/referral performance change.
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 getEvidence-linked diagnosis distinguishing demand, conversion and measurement issues.
Discuss this use case How it works
Led by operators with 15+ years building commerce products, teams and systems. About us
Today
Traffic and revenue reports move, but agency changes, tracking changes and customer behavior are discussed in separate conversations.
With this in place
The growth team receives an evidence-linked diagnosis with supported explanations, unresolved questions and the next action for each.
Who does what, step by step.
Your team
Your team agrees the comparisons, decides which actions to take and owns the follow-up check.
AI
AI compares demand, traffic and conversion evidence and drafts the explanations the data can support.
Automation
Scheduled checks flag tracking, consent and channel-classification changes before anyone interprets the numbers.
Step 1: Your team
Agree comparisons
Define periods, markets, pages and commercial measures that can be compared meaningfully.
Step 2: Automation
Check measurement
Look for consent, tracking, channel-classification and site changes before interpreting movement.
Step 3: AI
Investigate explanations
Compare demand, traffic and conversion evidence; identify which explanations the data can support.
Step 4: Your team
Assign and revisit
Produce a short diagnosis with actions, owners and a follow-up check on the changes made.
Guardrails
- Retain unknown referrals and missing measurement as separate findings.
- Do not reconstruct unavailable keyword-level conversions as factual attribution.
- Distinguish observed relationships from demonstrated causal impact.
What a first project includes.
A bounded first build around your systems and team. We agree the scope, fee and baseline before we start.
We build
- Comparable search and referral views with documented definitions
- A sourced investigation brief and prioritized next actions
- A repeatable review connected to the existing analytics stack
We start from
- Search Console and available search-platform data
- Site analytics, referrals and comparable order outcomes
- Landing-page, campaign, consent and site-change history
From your team
- Owner
- Head of Growth
- Ecommerce Director
- Involves
- Growth
- Analytics
- Ecommerce
- Search agency
- Engineering
Access to these systems and real examples to test against.
Adapts to
- Direct-to-consumer commerce
- International commerce
- Multiple storefronts
We’d measure
- Time from performance change to supported diagnosis
- Completed diagnostic and corrective actions
- Qualified traffic and commercial outcomes with measurement limits stated
Baselines agreed before we build.
Questions teams ask.
- Do we need to replace our current tools?
Usually not. We start with the systems you already use and build only what’s missing.
Typical connections: Google Merchant Center, analytics, ad platforms, search tools and your product data.
- Who owns it once it’s running?
Your team does. You own the agreed deliverables under the engagement terms, with documentation and training for the people who run it. Ownership usually sits with your head of growth or ecommerce director.
Ongoing support is optional and agreed separately.
- How do we get started?
If the problem and scope are already clear, we can scope this build directly. If you’re weighing it against other priorities, start with Discovery & Action Plan.
Its fee is credited in full if we build the recommended work.
How discovery works
Often paired with.
Part of AI shopping & agentic commerce
- Growth & acquisition
AI shopping readiness
Products are difficult for shopping agents to find or understand.
Channel-readiness assessment, corrected product feeds and an update process.
- Digital commerce & conversion
Conversion diagnosis
Aggregate conversion rates conceal specific buying friction.
Prioritized findings by page, device, market and funnel step.
- Finance & business intelligence
The weekly trading brief
Leaders receive dashboards but still have to assemble the narrative and next steps.
A sourced trading brief with decisions, action owners and follow-through.
More connected work
Know why your traffic moved. Start with the change you can’t explain yet.
Prefer to start with discovery?
We reply within one business day.