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Prebo Digital provides data-driven marketing solutions that combine tracking, CRO, and paid media to reduce CAC and increase profitable revenue for US brands.
Aligns tracking and attribution to measure true marketing-driven revenue.
Strategy → Build → Test → Scale → Report for repeatable growth.
GA4, server-side GTM and clean data pipelines for accurate decisions.
Prebo Digital builds data-driven marketing solutions designed to connect paid media, site experience, and analytics into a single revenue system. For US-based founders, marketing directors, and Shopify or WooCommerce store owners, this means campaigns that prioritise customer profitability (LTV vs CAC), clean attribution, and repeatable growth instead of vanity metrics.
We align strategy and technical implementation across five repeatable phases: Strategy → Build → Test → Scale → Report. Each phase is informed by instrumentation that enables accurate ROAS and MER calculations, server-side tracking, and funnel-level testing. Learn more about our service mix on the Services Overview page.
| Phase | Primary outcome |
|---|---|
| Strategy | CAC, LTV, and funnel targets |
| Build | Server-side tracking, tags, and measurement |
| Test | CRO experiments and ad creative tests |
| Scale | Budget allocation to profitable channels |
| Report | Attribution-backed dashboards and action items |
A core part of our data-driven marketing solutions is measurement hygiene: GA4 configuration, server-side Google Tag Manager, and consolidated first-party data for reliable attribution. These technical steps reduce dependency on platform-reported conversions and improve decision-making for Google Ads, Meta, TikTok, and LinkedIn campaigns run in the US market.
We combine analytics work with CRO and creative testing so every dollar spent is validated against revenue. Explore how that integration looks on the Prebo Digital homepage, where we outline our revenue-first philosophy and technical capabilities.
Our standard data-driven marketing solutions retainer includes a documented growth plan, tracking build-out, channel playbooks, monthly experiment roadmaps, and a consolidated attribution dashboard. For a mid-market US eCommerce client, typical outcomes we design for are: a 10-25% improvement in incremental revenue per test and clearer CAC calculations that factor returns from paid and owned channels (examples and figures are illustrative and dependent on baseline metrics).
We map each channel to the funnel and assign experiment hypotheses to move measurable KPIs-average order value, repeat purchase rate, and CAC. All experiments are tracked through server-side events and cross-checked against the attribution model to avoid double-counting conversions.
Example: if your average CAC is $40 and a new checkout flow improves conversion rate from 1.8% to 2.1%, that uplift can translate to a projected reduction in CAC of ~10-15% depending on traffic mix (US estimates; actual results vary).
Reporting focuses on revenue-attributed metrics (MER, channel-level contribution, and incremental test lift). Monthly retainer terms prioritise long-term, test-driven growth rather than one-off optimisations. See our approach and service offerings for scope examples on the About Us page.
If you want a straight audit of your current measurement and a short roadmap to a scalable system, request a review through our contact form. Typical engagements start with a 4-6 week instrumentation and prioritisation sprint followed by ongoing optimisation and scaling.
Contact us today and we will get back to you shortly
Marion is an award-winning content creator with over a decade of experience crafting high-impact B2B and B2C content strategies. Her content journey began in the mid-00s as a journalist and copywriter, focusing on pop culture, fashion, and business for various online and print publications. As the Content Lead at Prebo Digital, Marion has driven significant increases in engagement, page views, and conversions by employing a creative approach that spans ideation, strategy and execution in organic and paid content.
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