We are a UK-based business running high-volume, high-intent lead generation campaigns in the legal / financial services space.
We are looking for an experienced CRO / A/B testing consultant to work with us on an ongoing, ad-hoc basis to properly design, run, and analyse meaningful A/B tests.
This role is hands-on and strategic.
We already have in-house designers and copywriters — your role is to decide what to test, how to test it, and how to interpret results.
What We Need Support With:
- Monthly CRO / A/B testing strategy sessions
- Identifying high-impact tests based on data, not opinions
- Designing and administering A/B tests end-to-end
- Advising on test prioritisation and sequencing
Ensuring tests are:
- Statistically valid
- Properly isolated
- Commercially meaningful
- Analysing results and providing clear next actions
Tools & Platforms:
Experience with Crazy Egg, VWO, Optimizely, Google Optimize (or equivalents) preferred
Happy to use or recommend the tool you believe is best
Comfortable working alongside internal teams
What This Role Is Not:
- Not UI design or copywriting
- Not “button colour” testing for the sake of it
- Not heatmaps without hypotheses
- Not vanity CRO reports
Required Experience:
- Proven experience running A/B tests on high-volume lead gen sites
Strong understanding of:
- Statistical significance
- Sample size requirements
- Test duration vs traffic volume
- Experience working with PPC-driven traffic
- Able to link CRO outcomes to conversion rate, CPA, and volume
- Comfortable challenging internal assumptions where needed
Experience in legal / financial / regulated sectors is highly desirable.
Engagement Details:
- Ad-hoc consultancy
- Monthly strategy calls
- Project-based A/B test execution
Hourly rate (please state)
NDA required for shortlisted candidates
Long-term relationship possible
APPLICATION QUESTIONS (MANDATORY)
To be considered, you must answer all questions below. Generic or copy-paste proposals will be ignored.
1. How do you decide what is worth A/B testing on a high-volume lead generation page?
2. Please describe one real A/B test you’ve run that had a meaningful commercial impact. What was the hypothesis, what changed, and what was the outcome?
3. What are the most common mistakes you see businesses make with A/B testing?
4. How do you determine sample size and test duration before calling a result?
Important
We are looking for someone who:
Thinks in hypotheses and evidence
Understands PPC-driven user intent
Is comfortable saying “this is not worth testing”
Focuses on commercial impact, not just conversion rate uplift
If that sounds like you, we’d like to hear from you.
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