Conversion optimisation
In short
More traffic to a weak page costs more than a better page. ViralBP tests offer, landing-page structure, proof and checkout friction with clear hypotheses and clean measurement — in that order, because the offer carries the most leverage.
Order of the levers
- Offer and price presentation
- Message and proof above the fold
- Page structure and load time
- Form and checkout friction
- Fine-tuning colour and wording
What we measure
- Conversion rate by entry source
- Scroll and interaction depth
- Form abandonment per field
- Revenue per visitor instead of click rate
How we work together
Six steps, each with an approval point. You always know what happens next.
- 01StrategyGoal, audience, metric. What should be different afterwards?
- 02IdeaAngle and mechanic. The reason someone looks.
- 03CastingCreators by niche, audience fit, engagement quality, content skill.
- 04ProductionBrief, shoot, edit, variants, approval, rights.
- 05LaunchOrganic plus amplification. Whitelisting, Spark Ads, paid.
- 06Testing & scalingAnalysis, learnings, next wave. Scale the winners.
What we need for an offer
The more precise these points, the more reliable the first offer. Anything missing we clarify in conversation.
- Business model and main funnel (shop, app, lead generation)
- Current metrics, as far as available
- Read access to analytics and ad accounts
- The bottleneck as you see it
- Internal capacity for implementation (development, design, content)
- Timeframe and decision path
FAQ
At what traffic level do A/B tests make sense?
Roughly from a few hundred conversions a month. Below that we test bigger changes and use qualitative methods instead of claiming significance.
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