Conversion Funnel Audit
We map every step from landing to conversion event in your analytics. Where is the drop-off? You get a visual funnel map with annotated friction points before a single test is proposed.
The challenge
Why most Conversion Rate Optimisation programmes underperform.
You've invested in SEO or PPC. Traffic is growing. But leads and revenue aren't growing proportionately. The conversion rate is 1.8% and you don't know whether that's good, bad, or where the gap is. Most companies in this position start A/B testing button colours. The problem isn't the button — it's that no one has identified where in the funnel visitors are abandoning, what their stated objections are, or what the highest-leverage intervention point is. Testing without diagnosis is expensive noise.
What's included
Every deliverable. Named. Scoped. Scheduled.
Heatmap & Session Analysis
We install and review heatmap and session recording data on your key conversion pages. What are visitors clicking? Where do they stop scrolling? Data, not assumptions.
User Behaviour Research
On-page surveys, exit-intent polls, and post-conversion surveys to capture the buyer's stated objection. Often the highest-ROI step in a CRO programme.
Test Hypothesis Documentation
Every test we propose has a written hypothesis: the observed behaviour, the change we're making, the expected mechanism of improvement, and the statistical significance target.
A/B Testing Programme
Tests run via a validated testing tool with proper statistical rigour. Test duration calculated in advance. Results reported against the pre-agreed success metric.
Implementation & Iteration
Winning tests are implemented permanently. Insights from losing tests inform the next hypothesis. Monthly reporting covers active tests, completed tests, and cumulative conversion rate improvement.
How it works
The Conversion Rate Optimisation process, step by step.
No assumptions. No surprises. You see the roadmap before work begins.
01
Analytics Audit (Week 1)
We verify your analytics tracking is correctly measuring the conversion events that matter. If it isn't, we fix the measurement before we attempt to improve it.
02
Funnel Mapping (Week 2)
Full user journey mapped from first landing to conversion, with drop-off rates at every step. Friction points ranked by volume impact.
03
Qualitative Research (Weeks 2–3)
Heatmaps, session recordings, and on-page surveys installed and running. We gather two to four weeks of data before drawing conclusions.
04
Hypothesis Prioritisation (Week 4)
We present the top five test hypotheses, ordered by estimated impact and implementation complexity. You approve the testing queue.
05
Testing Cycles (Month 2+)
One to three concurrent tests running per cycle, with a 14–28 day minimum test duration. Results reviewed monthly. Winning variations implemented and the next round planned.
Case study
Real outcomes. Named industry. Defined timeframe.
Illustrative example based on representative client outcomes.
Professional Services (Consulting)
The challenge
Contact form conversion rate of 1.2% on a primary service page receiving 3,400 monthly visits from SEO. Team assumed it was a traffic quality issue.
Result
Form conversion rate increased from 1.2% to 2.1% (75% improvement) in 28 days
"
We'd been A/B testing for a year with no clear methodology. Volta Ad started by auditing whether our test results were statistically valid — turns out most of them weren't. Then they ran three properly structured tests and moved our lead form conversion rate by 60%. The rigour made the difference.
FAQ
Common questions about Conversion Rate Optimisation
Yes. A/B tests require sufficient visitor volume to reach statistical significance in a reasonable time. As a general guide, you need at least 1,000 monthly visitors to the page being tested to run a valid test in under 60 days.
Only if the test is built around the wrong metric. Every test we run has a primary success metric defined upfront — and for lead-generation sites, that means qualified form submissions, not clicks or time-on-page.
A redesign replaces what you have with something untested. CRO identifies what specifically is causing friction — and tests specific changes against the control, so you know whether the change improved performance before you fully commit to it.
Yes — and we recommend it. A higher conversion rate means every new visitor from SEO or PPC produces more leads. The compound effect of traffic growth combined with conversion improvement is significantly greater than either alone.
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