Investigate the drop-off
Review the journey, device experience and available behavioural evidence. Identify whether the issue is understanding, confidence, usability or the offer itself.
Conversion Rate Optimisation
Find the friction in your customer journey.
Use evidence to prioritise improvements to the pages and steps that influence enquiries or purchases.
Prices cover the listed scope. Additional work and external costs are quoted separately.
A practical approach
Test a decision, not just a design preference.
Conversion work starts with a specific friction point and a measurable hypothesis about what could improve it.
Define the test before launch
Agree the primary measure, affected audience and guardrails. Change enough to test the hypothesis while keeping the comparison interpretable.
Make an evidence-based decision
Review the result against the test plan, including uncertainty and unwanted effects. Where traffic is limited, use usability research and staged improvements.
A lift is a finding from a completed test, not a promised result of redesigning a page.
Platform reference: Microsoft: keys to effective experimentation
Conversion Rate Optimisation
What we’ll deliver.
Assess one conversion funnel, prioritise five hypotheses and choose a test or research approach that fits the available evidence.
- Visitors hesitate before completing an important action.
- You are changing details without a clear hypothesis.
- You need to know whether an experiment is suitable for your traffic.
Check funnel and measurement readiness
Review traffic, orders or leads, tracking quality and the purchase journey.
How we check it
Identify missing evidence and whether a practical experiment can support the decision.
Prioritise five hypotheses
Connect customer friction to a proposed change and a useful measure.
How we check it
Each hypothesis states the observed problem and why the change could address it.
Design the feasible intervention
Prepare up to two variants per feasible test or use a low-traffic research approach.
How we check it
Agree the measure, guardrails and decision method before evaluating the change.
Document the decision
Review the evidence and decide whether to retain, revise or investigate further.
How we check it
Include uncertainty and inconclusive outcomes instead of forcing a winning result.
Your handover
Funnel findings, prioritised hypotheses, feasible variant designs and a documented decision record.
Included scope and boundaries
- One funnel assessment
- 5 prioritised hypotheses
- analytics readiness review
- up to 2 design variants per feasible test
- documented decisions
- low-traffic research alternative
Outside this scope: Guaranteed uplift, guaranteed test cadence without traffic, full rebuild and software
Scope and investment
Plan the work and the budget together.
$750 – $1,500 / diagnostic; $1,500 – $3,000 / month experiment programme
2-week diagnosis; experiment duration set by feasibility
Additional costs
Testing tools and development beyond scope separate
What changes the cost?
Select diagnostic or experiment track based on traffic, decision cost and measurement quality
Working with your budget
If the full scope is beyond your budget, we’ll prioritise the most useful work and agree a smaller first phase with you.
What we need from you
- Traffic/orders
- main funnel
- tracking quality
Share what is available. We’ll identify any missing access or inputs during scoping.
Published prices apply to the listed scope. Deliverables, timing, revisions and external costs are confirmed before work starts.
View a delivery checklist for this service
A conversion hypothesis and decision record
An illustrative delivery approach to help you review the scope. This is a planning example, not a client case study.
| Stage | Example work | Acceptance or decision |
|---|---|---|
| Observation | Visitors ask about delivery charges after reaching the cart. | Validate the issue using approved feedback and journey evidence. |
| Hypothesis | Clearer delivery information near the buying decision may reduce uncertainty. | Agree the change and check that margin and checkout behaviour remain acceptable. |
| Decision | Use a feasible experiment or structured task review. | Record the evidence, limits and whether to keep, revise or investigate further. |
From the supplied reports
A closer look at the reports.
Explore the screenshots and open each project’s case study for context. Select an image to inspect it in the viewer.
PageSpeed Insights
RoLik Plumbing
Desktop page experience
A desktop test snapshot, shown with its original scores and page preview.
Each image is a separate report excerpt. Reporting windows and filters may differ; screenshots alone do not establish sales, growth or an ongoing ranking.
View illustrative platform examples
Tools and delivery
Platform examples
Illustrative platform screens show the type of work and reporting. These are not client results.
Hotjar
Page interaction review
Explore sample page interactions to identify questions worth testing.
Google Analytics 4
Purchase funnel exploration
Follow the steps from product discovery through checkout and purchase.
Shopify
Storefront theme editor
Review storefront sections and the settings merchants can manage themselves.
Optional delivery walkthroughs · illustrative
Project walkthroughs
All project walkthroughsFrom idea to something you can inspect.
Explore eight illustrative projects, from the initial brief to delivery and acceptance. Businesses and data in these walkthroughs are fictional.
Shopify experience
Solenne Home
A considered storefront, from catalogue to checkout.
Illustrative project
Explore the walkthroughCompare related services
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Updates, backup checks and limited edits.
Before you decide
Questions worth asking.
Do I have enough traffic to make this engagement useful?
Start with traffic, conversions, measurement quality and the size of decision you need to make. There is no single traffic threshold that makes every experiment useful. If a test cannot reach a useful conclusion in a practical period, choose the diagnostic and research track: inspect the journey, fix clear problems and validate customer tasks instead of promising an A/B-test win.
What happens on the low-traffic track?
Review analytics readiness, customer feedback and the purchase or enquiry journey. Prioritise five hypotheses, make justified improvements within the agreed scope and document what can and cannot be inferred from the evidence.
How is a test decision made?
Define the primary measure, guardrails, expected duration and decision criteria before launch. Record uncertainty and inconclusive outcomes. A short-term change in a metric is not automatically evidence of a winning variant.
What is the starting budget and what is separate?
$750 – $1,500 / diagnostic; $1,500 – $3,000 / month experiment programme. Testing tools and development beyond scope separate These are published USD prices. The written quote must state the complete cost, payment schedule and applicable taxes.
When can the work begin and what do you need from me?
2-week diagnosis; experiment duration set by feasibility. To scope the work, prepare: Traffic/orders; main funnel; tracking quality. The schedule starts after the required access, inputs and approvals are ready.
How are revisions, extra work and support agreed?
Use the listed deliverables and exclusions as the starting point. The quote must state acceptance checks, review rounds, payment stages, cancellation arrangements and any ongoing support. Requested additions need an agreed cost and schedule before implementation.
Getting started
Start with the right questions
Plan my projectLet’s scope your next step.
Tell us where you are, what needs to change, and what success would look like for your business.