Funnel and measurement review
Map the journey from landing page to purchase and identify missing or unreliable signals.
E-commerce Growth
E-commerce Growth with margin in view.
Plan acquisition around product margins, stock availability and the buying journey. Prioritize the funnel changes that need attention before bringing more paid traffic to the store.
Based in Albania. Built for international growth.
01 / The business problem
More traffic can increase the cost of a weak funnel.
Ad spend cannot resolve unclear product information, unexpected checkout costs or an uncompetitive offer. We assess where buyers drop out, whether the data reflects that behaviour and which product categories can support additional acquisition costs.
02 / What is included
Defined deliverables. Clear ownership.
Product and offer priorities
Review category demand, margin constraints and promotional plans before assigning acquisition budgets.
Paid acquisition coordination
Align Meta Ads and Google Ads with the products, offers and customer segments the business can support.
Conversion testing priorities
Prioritize product-page and checkout experiments with your team. Development scope is agreed separately.
03 / How we operate
From store friction to growth opportunities.
Store audit
Review the store, product structure, buying path and conversion friction.
Product priorities
Identify hero products, margins, seasonal demand and promotional priorities.
Funnel diagnosis
Understand where users drop, from product view to checkout intent.
Traffic & offer strategy
Connect acquisition campaigns with merchandising and offer logic.
Conversion improvements
Improve product pages, journey clarity and commercial triggers.
Growth optimization
Refine spend, product focus and funnel performance for more efficient growth.
04 / Who it is for
Where this service fits.
Established online stores
E-commerce teams with traffic and sales data but unclear priorities for the next stage.
Retailers growing online
Businesses connecting promotional activity, inventory and the online buying journey.
Growth-focused commerce teams
Teams able to coordinate marketing, merchandising and site improvements.
Experience across commerce funnels.
Experience signals relevant to this service are included in the broader Topi Growth Lab performance history. Figures are shown in aggregate and never attributed to individual clients or isolated case studies.
06 / Related work
Case study preview
Fixing a Broken E-commerce Funnel Signal
Anonymized case studies. Full stories are in preparation.
View Selected Work07 / Practical questions
Scope, inputs and working requirements.
Who implements the recommended store changes?
We prioritize changes and define what each test should establish. Your team or development partner implements the agreed work unless implementation is explicitly included in scope. A full redesign is not assumed.
How do product margins affect campaign decisions?
Margins help determine which acquisition costs the business can support. We also consider discounts, refunds and order value when the data is available. Reported ROAS alone is not enough to decide which products deserve more budget.
Should we fix tracking before testing the funnel?
If missing or duplicated events prevent a useful comparison, measurement comes first. We distinguish a reporting error from a buying-journey problem so that tests address the right issue.
Is this suitable for a store with very little sales data?
The work needs to match the available evidence. With limited traffic or sales, we begin with measurement, offer clarity and basic purchase-path checks. More detailed testing is scoped only when the volume can support a useful assessment.
Review before you scale
Know what to fix before you buy more traffic.
Review product margins, checkout friction and funnel data. Set priorities for the store and acquisition plan before increasing spend.
Request a Growth Audit