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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
Common pricing types
Measurement matters
Choosing the right fit
Choosing the right pricing model for a PPC and CRO engagement changes incentives, reporting clarity, and ultimately how revenue growth is measured. For US-based founders, marketing directors, and Shopify or WooCommerce store owners, pricing isn't only about monthly cost - it's about how an agency's structure aligns with your goals for CAC, LTV, and clean attribution.
Each model shifts incentives: percentage-of-spend rewards higher budgets, retainer models reward steady strategic work, and revenue-share aligns agency incentives to your topline growth. But incentives alone aren't enough - attribution accuracy and server-side tracking define whether revenue-share or performance fees reflect true impact. Prebo Digital's technical-first approach emphasizes clean attribution and funnel-level measurement to avoid platform-reported discrepancies; see our services overview for how we combine tracking with strategy.
Below are illustrative US ranges. These are estimates and will vary by agency experience, vertical complexity, and tech stack integration.
| Model | Typical US Range | When it fits |
|---|---|---|
| Monthly retainer | $3,000 - $15,000+/mo | Scaling stores needing continuous strategy and tests |
| % of ad spend | 8% - 20% of monthly media | Clear media budgets and execution-focused work |
| Revenue share / performance | 5% - 25% of incremental revenue* | High-alignment growth partnerships with robust attribution |
| Project / hourly | $100 - $300+/hr or $5k-$50k project | One-off builds: tracking, migrations, initial CRO audits |
*Revenue-share figures depend heavily on how "incremental" revenue is measured. Agencies that use robust server-side tracking and funnel baselines will produce fairer outcomes than those relying on platform-reported conversions alone.
For example workflows and how strategy meets build, review our approach on the Prebo Digital homepage.
Blended models combine a base retainer for strategy and tracking work with variable components tied to media or performance. This balances predictable investment for foundational work (tagging, server-side tracking, GA4 setup, funnel instrumentation) with upside for measurable growth. Typical blended structure:
Map tests and measurement across the funnel to avoid misattributed wins. Example funnel (TOF → MOF → BOF):
Conversion tracking diagram (simplified):
| Layer | Primary tools/events | Purpose |
|---|---|---|
| Client-site | GA4 - page_view, add_to_cart, purchase | Primary behavioral capture |
| Server-side | GTM Server - reliable purchase and refund events | Reduce ad-block and attribution loss |
| Ad platforms | Google Ads conversions, Meta/MMP signals | Campaign optimization and reporting |
Privacy and consent affect measurement. For US businesses, watch for CCPA/CPRA requirements, state-level privacy updates, and cookie consent that can reduce client-side attribution. Agencies should scope server-side solutions and consent-first instrumentation to reduce data loss and produce cleaner attribution for revenue-share or performance models.
Tip: If a performance fee is on the table, require a technical audit up-front. That audit should document baseline conversion capture, expected tracking gaps (estimated % loss), and remediation steps.
When evaluating proposals, request a clear measurement appendix that defines: baseline period, incremental revenue calculations, refund and returns treatment, and the list of events considered valid conversions. Ask how the agency will instrument GA4 and server-side tracking and request sample reports that show funnel-level attribution.
To understand agency process examples and long-term partner expectations, review our team and philosophy on the About Prebo Digital page. When you're ready to discuss a specific pricing structure, use the contact page to share budget and tracking constraints.
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