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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
Prepare a clear brief
Compare process not just price
Expect US-specific work
Requesting a website optimization quote without a clear scope leads to inconsistent proposals, hidden costs, and poor alignment on revenue outcomes. This guide explains how to prepare the data, define the scope, and ask the right questions so quotes are comparable and focused on profitability, not vanity metrics. Use the term "website optimization quote" when communicating scope so vendors provide CRO and technical optimization line items rather than vague hours estimates.
Example: "Improve checkout conversion from 1.5% to 2.2% in 6 months, using existing Shopify setup and GA4 server-side tracking." When you give this level of detail vendors can build realistic measurement and test plans instead of guesswork.
If you need a checklist template, review a vendor's service scope first so your data request matches what they price. See a clear outline of performance services on our services page for items vendors commonly price into quotes.
A standardized format makes line-by-line comparisons possible. Vendors should separate testing budget from retainers and show how improvements map to revenue estimates. If you want a quick sense of vendor fit, a high-level agency profile and case examples on their homepage can help validate experience before you share sensitive access.
Note: When requesting a website optimization quote, be explicit about attribution expectations (server-side tracking, GA4, and multi-touch models) so vendors include measurement work in their scope.
Sharing a budget range (for example, $3,000-$12,000 per month or a $5,000-$20,000 initial project) helps vendors propose solutions that match your stage. If you prefer vendor creativity, ask for two proposals: a scoped plan and a premium plan with accelerated timelines.
A quality website optimization quote ties deliverables to revenue impact assumptions (e.g., +0.5% conversion = $X incremental revenue per month based on AOV and traffic). Ask vendors to show projections in dollars for the United States market using your data or conservative uplift ranges.
When you compare website optimization quotes, focus on process, measurement, and risk reduction. Look for clear sections on strategy → build → test → scale → report. Quotes should include ownership of tracking (GTM and server-side), experiment velocity, and a handoff plan for in-house teams.
| Scope | Typical US Estimate | Notes |
|---|---|---|
| Initial audit + roadmap | $3,000 - $10,000 (one-time) | Depends on site complexity; estimates shown are illustrative. |
| Monthly CRO & optimisation retainer | $2,000 - $12,000 / month | Ranges reflect agency capabilities and test velocity. |
| Full implementation + server-side tracking | $5,000 - $25,000 (project) | Includes development and analytics engineering; US market rates used. |
These figures are estimates for United States engagements to help set expectations. Actual quotes will vary by vendor, team composition, and technical debt.
| Client Side | Server Side | Analytics / Reporting |
|---|---|---|
| User -> Browser -> Pixel events | Server endpoint aggregates events, enriches with CRM id | GA4 + Data Warehouse for long-term revenue attribution |
Ask vendors to show how they’ll map client-side events to server-side events and how that data feeds into GA4 and your reporting stack. If you need an example of attribution-first measurement, review how a performance-first agency structures measurement on our about page and adapt the checklist to your needs.
A robust website optimization quote will map actions and experiments to these funnel stages with expected timelines and revenue assumptions. For help assembling access or scheduling discovery calls, vendors often ask for a single point of contact. If you’re ready to share high-level goals with a potential partner, you can use our contact page to request an exploratory conversation or a sample audit outline: Contact Prebo Digital.
Address these topics during discovery so quotes include legal and engineering effort to maintain clean pipelines. If you'd like to explore the framework used by performance-driven teams, Explore the framework and map it to your stack before requesting final proposals.
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