Get more from the traffic you already have
Systematic conversion testing across landing pages and funnels, not one-off redesigns.
Conversion optimization is diagnosing where and why visitors, funnel steps, or leads actually fail to convert, then testing specific evidence-backed fixes with a real sample size, rather than redesigning pages on instinct.
More traffic is the expensive way to grow revenue when the actual constraint is conversion, not volume. Most sites we audit are losing more to a confusing checkout flow or a landing page trying to do five things at once than they'd ever gain from another 20% of ad spend.
Our process starts with diagnosis, not redesign - funnel analysis and heatmaps to find where people actually drop off, before forming a single hypothesis about why. Every test then follows the same discipline: one variable, a real sample size calculation, and a run time long enough to capture weekly traffic patterns, because a test called early just creates false confidence. Landing pages, funnels, and lead-to-customer conversion each get evaluated separately, since the fix for a weak page and the fix for a broken sales handoff are rarely the same thing.
Problems we solve in Conversion Optimization
Redesigns happen on instinct
A new hero image or headline ships because it feels obvious, not because heatmaps or session data pointed there.
One page tries to do five things
Multiple competing calls to action share a layout instead of the page earning its place against a single goal.
A blended rate hides where the leak actually is
An aggregate conversion number can look stable for months while one specific funnel stage is quietly bleeding prospects.
Tests called early get treated as real
A number that looks good on day two ends the test before it reaches actual statistical significance.
Lead volume goes up while close rate stays flat
Optimising for more form fills alone can loosen qualification and make lead quality worse without anyone noticing.
Everything covered in Conversion Optimization
Conversion Rate Optimization
Diagnostic research and hypothesis testing so changes are backed by evidence, not opinion.
Landing Page Optimization
Structure, copy, and trust signals optimised against a single conversion goal.
Funnel Optimization
Stage-by-stage analysis to find and fix the specific step actually losing people.
A/B Testing
Sample size and run time calculated before launch, so a result can actually be trusted.
Lead Conversion Optimization
Qualification, handoff, and follow-up optimised against lead-to-customer rate, not just form fills.
What actually changes
| Before | After |
|---|---|
| Page redesigned on internal opinion | Change backed by heatmap and session recording evidence |
| Multiple competing calls to action on one page | One clear action, matched to the traffic source |
| One blended conversion rate for the whole path | A conversion rate measured at every individual stage |
| A test stopped once the number looks good | Sample size and run time set before the test starts |
| Success measured at form submission | Success measured at closed-won |
What we report on
Conversion rate movement
Tracked against your baseline from the diagnostic phase, not projected before testing starts.
Conversion rate by goal & device
Measured against the single defined action, reported separately by device so a mobile-only issue never hides.
Stage-to-stage conversion rate
Tracked at every step of the funnel, not just top-of-funnel-to-bottom.
Tests reaching real significance
Reported as the share of tests hitting their pre-calculated sample size before a result is read.
Lead-to-customer rate
Tracked through to closed-won, not stopping at the form fill.
Tools we work with
Every Conversion Optimization service, broken down
Stop Redesigning Pages Based on a Hunch
We diagnose with real visitor data before we test anything, so every change is backed by evidence, not opinion.
Landing Page OptimizationOne goal per page, executed properly
Landing page structure, copy, and design optimised against a single conversion goal.
Fix the step that's actually losing people
Full-funnel analysis to find and fix the specific stage where prospects drop off.
Stop Trusting Test Results That Were Never Statistically Real
We calculate sample size and run time before launch, so you get a result you can trust, not a number that looked good on day two.
Lead Conversion OptimizationMore leads that actually turn into customers
Optimisation focused specifically on lead-to-customer conversion, not just form-fill rate.
Industries we work with
Built for teams like yoursPairs well with Conversion Optimization
Design built to convince, not just to look good
Corporate, B2B, landing page, and e-commerce design - matched to the audience and the exact action you need them to take.
Clean data, before anything else
GA4, GTM, and BigQuery implementations that make every downstream decision trustworthy.
Design decisions backed by research, not opinion
UX research, interface design, and design systems for products and websites that need to be used, not just seen.
Why choose EASI7
We fix tracking before we touch results
Every engagement starts with the same audit we'd run on our own accounts, so the numbers you're optimizing against are actually true.
One accountable team, not siloed vendors
The same team that does this also owns the rest of your stack - no handoff, no blame-shifting between vendors.
Built for how AI search actually works
Everything we build is structured to be extractable by AI answer engines, not just ranked in a list of blue links.
Reporting tied to your own dashboard
Every number we report ties back to GA4/GTM events you can see directly - not a screenshot from a tool you can't independently verify.
How to engage us for this
Project-based
A defined outcome with a start and end date - an audit, a migration, a campaign build, a tracking overhaul. Fixed scope, fixed price, agreed upfront.
Ongoing retainer
Continuous management and optimization once the initial build is live - campaigns, SEO, reporting, and iteration run every month under one accountable team.
Advisory
Strategy and oversight without full delivery - we review what's already running, unblock decisions, and point an in-house or existing team in the right direction.
Common questions
Enough to reach statistical significance within a reasonable time - as a rough guide, a page converting at a few percent typically needs a few thousand visitors per variant. Below that, qualitative methods like session recordings are more useful than formal A/B tests.
It varies enormously by starting point and industry - a poorly optimised page has much more room to improve than one that's already been tested repeatedly. We'll give an honest read after the initial audit rather than a generic percentage.
Usually neither extreme - we prioritise based on diagnostic data, which sometimes means a full redesign and sometimes means one specific, well-evidenced change.
The diagnostic phase usually takes one to two weeks. After that, each test needs to run long enough to reach significance and capture a full weekly traffic cycle, which is typically two to four weeks per test. A programme with a real testing cadence tends to show its first validated win within six to eight weeks, not the first few days.
It works best as an ongoing programme. A single redesign can fix the most obvious problems, but conversion rates drift as traffic sources, offers, and competitors change, and a testing backlog run continuously catches issues a one-time project would miss entirely.
Working analytics and enough traffic to eventually reach test significance are the minimums. If tracking is broken or incomplete, we'll fix that first - testing on top of bad data just produces confident wrong answers faster.
Traffic is fine. Conversion is the problem?
We'll run a diagnostic before recommending a single test.
Ready to get started?
We usually reply within 24 hours.
Conversion Optimization, in detail
Scope, area by area
| Area | What we deliver |
|---|---|
| Diagnosis | Heatmaps, session recordings, and funnel analysis to find where visitors actually drop off before anything gets proposed |
| Page & Funnel Fixes | Landing pages and multi-step funnels each evaluated and fixed stage by stage |
| Statistically Valid Testing | Sample size and run time calculated before every test launches |
| Lead-to-Customer | Qualification, handoff, and follow-up optimised against closed-won, not just form fills |
How this compares
| Diagnostic-Led Optimization | Redesign by Instinct |
|---|---|
| Every change starts from a specific, evidence-backed hypothesis | Changes are made because they feel obvious or match a competitor trend |
| Landing pages, funnels, and lead handoff each get their own diagnosis | One generic fix applied everywhere, regardless of where the real leak sits |
| Tests run to a pre-calculated sample size before a result is read | Tests get called early because a number looked good |
Most sites we audit are losing more to a confusing checkout flow or an unfocused landing page than they would ever gain from more ad spend.
What we measure this against
- Which stage - a landing page, a funnel step, or the sales handoff - is actually the constraint on conversion
- Tests run to their pre-calculated sample size before a result is read, not called early
- Lead-to-customer rate tracked through to closed-won, not just form-fill volume
Where this applies
- A site with healthy traffic and a conversion rate that has not moved despite repeated redesigns
- Paid traffic sent to a general page instead of one matched to the offer
- A multi-step checkout or signup flow with a healthy top-of-funnel rate and a weak finish
- Marketing lead volume climbing while sales says close rate is falling