⚡ Evidence-led research and experiments with explicit measurement limits
Diagnose an e-commerce funnel and define a scoped research, implementation, or experiment program from verified data.
Conversion Rate Optimization (CRO)
Registered company · Remote delivery to the US, UK & EU
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Anushka Dahanayake (Pvt) Ltd (PV 00303673) is a registered Sri Lanka company delivering this service remotely to clients in the United States, United Kingdom, Australia, Canada, and Europe. All projects are scoped in English with transparent USD pricing and email-first delivery.
Service Overview
Conversion Rate Optimization is a discovery-led service for one e-commerce storefront with measurable goals, reliable analytics, enough eligible traffic, and a team able to approve and implement changes. We review the funnel, instrumentation, segments, qualitative evidence, and technical constraints before proposing research, implementation, or controlled experiments. Every proposal defines pages and events, data quality, traffic and test eligibility, research methods, hypotheses, variants, implementation ownership, quality assurance, decision rules, duration assumptions, privacy and consent responsibilities, reporting, and exclusions. We do not promise doubled sales, statistical significance, positive lifts, advertising ROI, or a fixed experiment count. Heatmaps, recordings, surveys, analytics, and testing tools are used only with merchant approval, appropriate consent and redaction settings, and platform support. Tool subscriptions, legal advice, copy production, design systems, development, analytics repair, and ongoing experimentation are included only when the signed proposal says so.
Key Deliverables
- ✓Discovery record covering business goals, funnel definitions, analytics quality, traffic, segments, platform, consent, technical limits, and decision owners
- ✓Evidence register combining agreed quantitative and qualitative sources with confidence, limitations, and unresolved tracking issues
- ✓Prioritized hypothesis backlog linking observed evidence, affected audience, proposed change, expected mechanism, risk, effort, and success or guardrail metrics
- ✓Proposal-defined research, design, copy, implementation, QA, or controlled-experiment work with exact page, variant, event, hour, and tool boundaries
- ✓Decision report documenting methods, dates, eligible users, exclusions, sample and variance, primary and guardrail metrics, implementation status, caveats, and next actions
Expected Business Outcomes
- A more reliable view of funnel behavior and evidence quality
- A prioritized, reviewable backlog instead of unsupported conversion assumptions
- Controlled changes and decisions within the approved proposal, without guaranteed commercial lift
Ideal For
Our Delivery Process
Qualify the measurement foundation
Confirm goals, funnel stages, events, attribution limits, traffic, segments, revenue definitions, data retention, consent, seasonality, campaigns, stock and pricing changes, platform access, and decision owners.
Gather bounded evidence
Review only approved analytics, funnel, search, support, survey, usability, heatmap, recording, or performance sources. Record dates, filters, gaps, redaction, consent constraints, and whether each source can support a decision.
Prioritize hypotheses
Connect each hypothesis to observed evidence, audience, mechanism, business value, risk, effort, primary metric, guardrails, and technical dependencies. Separate defects and obvious fixes from claims that require testing.
Approve the program
Define pages, variants, copy and design ownership, implementation hours, QA matrix, tools and subscriptions, exposure rules, sample or duration assumptions, stopping and decision rules, reporting, rollout, rollback, and exclusions.
Implement, observe, and decide
Run approved QA and work, preserve experiment integrity, document incidents and concurrent changes, analyze only according to the agreed plan, and report positive, negative, or inconclusive results with limitations.
Platform Architecture
Engineered for premium performance, core security, and organic search rankings from day one.
Frequently Asked Questions
Common questions regarding deliverables, process, and billing.
Can you double sales or guarantee a conversion lift?
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No. Conversion depends on demand, offer, price, stock, traffic quality, device mix, brand, competition, seasonality, operations, shipping, payment, measurement, and many concurrent changes. Research or experiments can reduce uncertainty, but results may be positive, negative, inconclusive, too small to act on, or invalidated.
Do we always need an A/B test?
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No. Broken functionality, clear usability defects, compliance changes, low-traffic pages, major redesigns, and operational problems may call for QA, research, staged rollout, or pre/post observation instead. Discovery recommends a method that fits the evidence, risk, and eligible traffic.
How much traffic is enough for an experiment?
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There is no universal threshold. Eligibility depends on baseline rate, minimum effect worth detecting, variance, allocation, number of variants, audience, metric frequency, seasonality, and acceptable error levels. The proposal records assumptions and may recommend no test when a useful answer is unlikely.
Will you install heatmaps or session recordings?
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Only with written approval, platform support, appropriate consent and notice, sensitive-field masking, audience and page limits, retention settings, and an agreed purpose. Tool fees, legal review, and remediation of privacy or consent systems are separate.
What if analytics data is unreliable?
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We document the gap and avoid treating unreliable numbers as evidence. The proposal may prioritize a separate instrumentation repair and validation phase. Historical data usually cannot be recreated, and testing should wait when primary or guardrail metrics cannot be trusted.
What is included in a CRO proposal?
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It names the storefront, goals, pages, audiences, evidence sources, research methods, hypotheses, metrics, variants, creative and development ownership, hours, tools, QA, traffic allocation, duration assumptions, decision rules, privacy responsibilities, reporting, rollout, support, costs, dependencies, and exclusions.
Who approves copy, design, tracking, and customer-facing changes?
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The merchant appoints decision owners and approves claims, prices, policies, brand, tracking, consent effects, test exposure, launch, and rollback. We do not publish unapproved variants or invent testimonials, urgency, scarcity, savings, guarantees, or compliance claims.
What happens after an inconclusive or negative result?
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The result is preserved and reported with its limitations. We do not relabel it as a win. The decision may be to retain control, roll back, gather more evidence, revise the hypothesis, fix measurement, or stop. Any new test or implementation requires remaining proposal capacity or a new scope.
Need a custom feature?
We offer tailored quotes and specifications for complex software requirements. Reach out to construct your perfect scope.
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