Why Your Landing Page Isn't Converting (Checklist Included)
If traffic is coming but conversions are not, the issue is rarely a single cause. Use this diagnostic-first approach to identify the weak links and fix the highest-impact items quickly.
Start by defining conversion
Is conversion a booked demo, form submit, call, or download? Define a single primary KPI per landing page and measure it first.
Common conversion killers
- Message mismatch: headline and ad/organic snippet promise different value than the page delivers.
- Poor above-the-fold clarity: users can't tell what to do in 3 seconds.
- Too many choices: cluttered CTAs or long forms increase friction.
- Trust gaps: no social proof, unclear pricing, or missing guarantees.
- Technical friction: slow load, broken validation, mobile layout issues.
Psychological levers (use ethically)
- Authority: short credentials or recognizable client logos.
- Social proof: short testimonials with names/roles and measurable outcomes.
- Reciprocity: offer a small audit or checklist for free.
- Clear commitment: remove ambiguity about next steps and deliverables.
30-minute CRO checklist (run this now)
- Confirm headline matches campaign intent.
- Make primary CTA obvious and singular above the fold.
- Shorten forms to minimum fields; test autofill and validation.
- Add at least one real testimonial or metric (e.g., “+30% organic traffic in 3 months”).
- Run Lighthouse for performance issues and fix any blocking LCP problems.
- Test on mobile (tap targets, form usability, viewport).
- Confirm analytics events for CTA clicks and form submissions.
A/B testing ideas
- Headline variants that state the outcome vs headline that states the problem.
- Short form vs long form (test friction trade-off).
- Different social proof formats: logos vs short case quote vs metric.
Measurement (what matters)
Track CTA conversion rate, form abandonment, and downstream quality (lead → qualified lead). Avoid optimizing vanity metrics without lead quality context.
Final tips
Fix obvious trust & clarity issues before running A/B tests. Tests work best when the baseline is clean: once the big leaks are patched, small optimizations compound into meaningful uplifts.