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Discover what makes us different
Our average client sees a 35% lift in conversion rate across 150+ CRO projects.
500+ tests run across landing pages, checkouts and lead capture forms.
Every change is backed by analytics, heatmaps and real session data.
Certified VWO partners running enterprise-grade experimentation programmes.
Here's what sets us apart from the competition
Find answers to common questions
Prebo integrates CRO work with GA4, Google Tag Manager, server-side tracking, and common ecommerce platforms like Shopify and WordPress to ensure accurate event capture and attribution. We also set up ETL or data-layer solutions where needed so test results feed into a single source of truth for decision making.
Common experiments include A/B tests, multivariate tests, funnel experiments, UX and checkout performance optimizations, and technical fixes that reduce friction. Test duration depends on traffic volume and required statistical power but typically ranges from several weeks to a few months per experiment cycle.
We prioritise revenue-per-visitor, conversion rate, average order value, customer acquisition cost (CAC), lifetime value (LTV), and marketing efficiency ratio (MER), alongside statistical significance for experiments. Clean attribution and centralized data pipelines ensure those metrics reflect true business impact rather than platform-reported figures.
CRO is designed to improve conversion efficiency and attribution accuracy, which can increase revenue and profitability when combined with product-market fit and adequate traffic. Outcomes vary by business and depend on test quality, funnel issues identified, and downstream economics, so results are not assured and are measured against revenue-focused KPIs rather than vanity metrics.
CRO is the systematic process of improving a website or funnel to increase revenue per visitor. Prebo Digital uses a technical-first, analytics-driven approach with hypothesis-driven experiments, server-side tracking, and funnel-level optimization focused on measurable revenue outcomes.
In This Article
Track revenue first
Fix data lineage
Experiment for dollars
Performance-driven SEO and conversion rate optimisation (CRO) aim to move revenue metrics - not just traffic. Yet teams routinely run into shared obstacles that turn strategy into noise: fractured attribution, tracking gaps, conflicting optimisation goals, and poor experiment hygiene. This article breaks down those problems, shows how they show up for US ecommerce and B2B funnels, and gives tactical fixes you can apply today.
| Layer | What flows | Common failure |
|---|---|---|
| Client (browser) | Pageviews, clicks, form events | Ad-blockers, cookie consent blocking |
| Server-side | Verified purchase events, deduped conversions | Missing forwarding or schema mismatch |
| Attribution layer | Mapped touchpoints to revenue | Platform-model differences (click vs view-through) |
Practical note: for Shopify stores in the US, server-side purchase forwarding often reconciles 10-30% of “missing” conversions caused by blocking and attribution windows; results vary by store and traffic mix.
Organising fixes by funnel stage prevents misaligned priorities.
If you want a model for blending strategy and engineering, see our services overview which describes how strategy → build → test → scale maps to retainers and engagements.
For background on our approach and team experience, learn more on the About Prebo Digital page.
Technical fixes matter, but strategy gaps are equally destructive. Common strategic issues include optimising for clicks instead of purchases, treating SEO and CRO as separate initiatives, and lacking a clear attribution model that converts experiments into decisions.
Translate CRO and SEO metrics into revenue-focused KPIs: CAC, MER (marketing efficiency ratio), average order value (AOV), and 30-90 day retention. Example: if a paid campaign reduces CAC by $10 but reduces AOV by $15, the net effect is negative. Use cohort-level revenue tracking in your warehouse to evaluate true impact.
US commerce teams must balance tracking accuracy and legal obligations. Be mindful of CCPA/CPRA opt-outs in California, cookie consent flows for cross-state customers, and ad platforms’ evolving modelling. Implement clear consent banners, document server-side processing, and store consent signals alongside event data to support audits.
| Step | Action | Outcome |
|---|---|---|
| 1 | Forward server-side purchase events from Shopify to GA4 and ad platforms | Recovered blocked conversions, deduplicated by order_id |
| 2 | Compare platform-attributed conversions to warehouse revenue by campaign_id | Identify modelled vs first-party gaps in $ terms |
| 3 | Adjust bidding and creative weight based on MER and cohort-level LTV | Optimised spend aligned to profitability |
If your team lacks reliable revenue attribution across channels, or tests fail to replicate, it’s time for a structured engagement: strategy audit, server-side implementation, schema standardisation, and cohort-level reporting. For an example of how a technical-first partner approaches these problems, see our homepage and consider requesting a tailored audit via our contact page.
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