Repeated sizing uncertainty
- Business implication
- Validate fit guidance against product specification
- Action owner
- Development and digital product
Digital commerce & conversion
Find where shoppers drop out and what to fix.
Aggregate conversion rates conceal specific buying friction.
TriggerA conversion decline or recurring trading review.
| Journey | Finding | Proposed response |
|---|---|---|
| Mobile product comparison | Key dimensions hidden below the fold | Test a visible comparison module |
| International checkout | Shipping availability unclear | Expose eligible delivery before payment |
| Cart event reporting | Event missing after recent release | Repair measurement and recheck |
What you getPrioritized findings by page, device, market and funnel step.
Discuss this use case How it works
Led by operators with 15+ years building commerce products, teams and systems. About us
Today
An aggregate conversion rate triggers broad redesign discussions while the failing journey remains unclear.
With this in place
The ecommerce team has ranked findings by journey and segment, each connected to customer evidence and an implementable next step.
Who does what, step by step.
Your team
Your team chooses which fixes and experiments to run and how each one will be judged.
AI
AI reads customer questions and journey evidence to separate plausible causes of drop-off.
Automation
Event checks confirm the funnel is measured correctly, and segment comparisons show where journeys diverge.
Step 1: Automation
Verify the funnel
Check event coverage, consent and order definitions before comparing completion rates.
Step 2: Automation
Locate the friction
Find where comparable journeys and segments diverge, including search, product, cart and checkout.
Step 3: AI
Test explanations
Use actual customer questions and journey evidence to distinguish plausible causes.
Step 4: Your team
Make the next change concrete
Rank fixes and experiments with implementation briefs and the measure needed to judge them.
Guardrails
- Mask or omit personal information from session and service examples.
- Report missing events separately from customer abandonment.
- Use an appropriate experiment or comparison before claiming conversion lift.
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
- A segmented diagnosis linked to observations
- A prioritized change and experiment backlog
- Tracking corrections where the evidence itself is incomplete
We start from
- Funnel events and order outcomes with agreed definitions
- Device, market and product segments
- Customer questions, search behavior and available session evidence
From your team
- Owner
- Ecommerce Lead
- Head of Digital Product
- Involves
- Digital product
- Design
- Analytics
- Engineering
- Customer service
Access to these systems and real examples to test against.
Adapts to
- Web commerce
- Mobile apps
- International commerce
We’d measure
- Time to locate and explain journey friction
- Purchase and checkout completion in relevant segments
- Completed changes and experiments with supported outcomes
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: Your commerce platform, analytics, site search, reviews and testing tools.
- 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 ecommerce lead or head of digital product.
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.
- Digital commerce & conversion
Guided shopping
Complex ranges leave shoppers unsure which product fits their needs.
A product-grounded guided-shopping experience with useful next actions.
- Customer service & support
Customer intelligence into action
Customer feedback never consistently reaches the teams that can act on it.
Evidence-backed themes, owners and action briefs.
- Growth & acquisition
Search performance diagnosis
Traffic reports show movement but not a useful explanation or next action.
Evidence-linked diagnosis distinguishing demand, conversion and measurement issues.
More connected work
Fix what stops the sale. Start with one journey on one device.
Prefer to start with discovery?
We reply within one business day.