£2,500. 5 testable pricing hypotheses + 12-week roadmap. Delivered in 21 days.
Pricing Experimentation Audit
Pricing Experimentation Audit is a £2,500 fixed-price pricing strategy engagement. 5 testable pricing hypotheses + 12-week roadmap. From the operator who took Enzymedica from 3.4% to 16.9% conversion on a single Black Friday weekend.
£2,500. 5 testable pricing hypotheses + 12-week roadmap. Delivered in 21 days.
Most ecommerce and SaaS founders treat pricing as a settled question. It was set when the product launched. It hasn't been tested since. Margin pressure, competitor moves, audience drift, and inflation have all happened, but the price is the same.
Pricing Experimentation Audit is the most undertested layer of the funnel, and the highest-leverage place to apply The Evidence Stack.
What you get
- Pricing-page conversion analysis, how your current pricing page performs against your audience hypothesis (decoy effect, anchor strength, tier discrimination, perceived-value framing)
- Competitive pricing benchmark, where your prices sit in your category, with named competitors
- Five testable pricing hypotheses, each with a specific hypothesis statement, audience-behaviour mechanism, recommended A/B test setup, and predicted lift range
- 12-week implementation roadmap with the five tests sequenced by dependency and prioritised by expected revenue impact
- Per-hypothesis revenue model, what the lift looks like at your current monthly revenue if the hypothesis lands at the predicted range
- One 60-minute strategy call to walk through the audit, the hypotheses, and the roadmap
No retainer commitment. £2,500 flat. Done in 21 days.
Who this is for
- Run an ecommerce or SaaS site doing £100K-£1M monthly revenue
- Have established traffic + conversion data on the current pricing page (≥3,000 sessions/month, ≥6 months of data)
- Have not tested pricing in the last 12 months
- Suspect pricing is undertested but don't have a hypothesis library to draw from
How it works
Days 1-7. Review. I review your pricing page, your three highest-traffic landing pages, your checkout flow, and the customer-journey friction points. I pull comparable category benchmarks (Build Grow Scale, Baymard, public industry reports), audit competitor pricing pages (named in the deliverable), and run the audience-hypothesis filter on the current pricing structure.
Days 8-14. Hypothesis generation. I generate the five testable hypotheses. Hypothesis quality is the foundation of The Evidence Stack. The five hypotheses are operator-set against revenue impact. Common categories: anchor strength, decoy framing, tier discrimination, annual/monthly framing, trial-to-paid friction.
Days 15-19. Roadmap. I sequence the five tests into a 12-week implementation roadmap. Sequencing logic: tests with shorter sample-size requirements run first (faster reads), tests with the highest predicted revenue impact run on highest-traffic surfaces (better signal), and tests that depend on prior-test outcomes run later.
Days 20-21. Delivery. PDF lands in your inbox. 60-minute strategy call.
The case study that anchors this engagement
Enzymedica UK (Shopify), Black Friday 2021. Conversion rate moved from 3.4% baseline to 16.9% on a single Black Friday weekend, a five-fold lift on the highest-stakes day of the year. 11% sustained through December 2021 (the worst month of the year for health-supplement sales). The 30-day engagement was three compounded CRO wins, one of which was a pricing-page hypothesis: the decoy framing on multi-pack product tiers wasn't firing because the highest tier was discounted aggressively, undermining the anchor for the middle tier. The fix moved the discount-presentation maths and tested a different anchor structure. Loom analytics review at https://www.loom.com/share/d20fd92f4d5e49a88a92c9c0d5e28570.
Why pricing testing produces outsize lifts
Pricing is the most directly revenue-mapped surface in the funnel. A 10% conversion-rate lift on a checkout page maps directly to 10% revenue. A 10% lift on the pricing page often maps to 15-25% revenue because pricing-page conversion rate compounds against the average order value the chosen tier produces.
Most pricing pages are undertested. Build Grow Scale's 347-store research found that pricing-page testing had the highest median lift in the dataset (12-18%) and the lowest test frequency (less than one test per year per store on average).
Pricing
£2,500 + VAT (where applicable). Fixed price. Paid 50% on engagement start, 50% on delivery.
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