Performance-first social media advertising and analytics built to grow revenue, improve attribution, and lower CAC for U.S. scale-ups.
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Discover what makes us different
Meta Business Partner running paid social across every major platform.
Audience targeting that reaches actual buyers, not just cheap impressions.
Clients see up to 45% lower cost per lead after we restructure their accounts.
In-house creative paired with reporting that proves what each rand returned.
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Implement server-side event collection, consistent UTM tagging, cross-domain tracking and order-level reconciliation to match platform events with backend purchase records, then use cohort reconciliation to surface persistent attribution differences.
Run structured A/B tests that isolate creative from audience, use defined learning windows to identify top performers, and promote winning creatives into scaled funnels while monitoring conversion metrics and unit economics rather than engagement alone.
Start with hypothesis-driven test budgets, scale incrementally for ad sets that meet your CAC and margin targets, reallocate spend toward channels that improve MER, and continuously optimize bids and audiences to preserve unit economics.
Combine server-side tracking (GTM server or conversion APIs), GA4 ecommerce measurement, stable UTM parameters and backend order ingestion so ad events map to purchases; apply multi-touch or data-driven attribution and evaluate performance against MER and LTV.
When integrated with CRO, retention strategies, LTV measurement and accurate attribution, social media ads can feed a scalable growth system that acquires customers at sustainable CAC and supports long-term profitability rather than one-off sales.
In This Article
Revenue-first measurement
Server-side tracking
Structured growth retainer
Social platforms drive demand, but revenue growth requires clean data, repeatable funnels, and measurement that ties spend to profit. Prebo Digital helps Shopify, WooCommerce, B2B SaaS, and service brands move from platform-reported metrics to revenue-focused systems that prioritise CAC, LTV, and MER. Our approach blends creative testing, server-side tracking, and conversion-level attribution to produce predictable outcomes across Google, Meta, TikTok, and LinkedIn.
Every engagement starts with a performance audit and hypothesis-driven strategy. We build tag frameworks (GA4, GTM, server-side), implement tracking on Shopify or WordPress, and deploy test plans for creatives, audiences, and landing pages. Monthly retainers focus on continuous improvement: test prioritisation, media optimisations, and attribution reconciliations. Learn more about our service mix on the Services page and why a technical-first approach matters on our About Us profile.
| Layer | Tools |
|---|---|
| Analytics | GA4 (server-side), BigQuery |
| Ad platforms | Meta, TikTok, LinkedIn, Google |
| Commerce & CRM | Shopify, WooCommerce, Stripe, Klaviyo |
For US-based brands, server-side tracking complements platform pixels and reduces attribution gaps caused by iOS/Android privacy changes. We map events to business outcomes so a campaign is optimised to incremental revenue and not just clicks or installs. If you want a quick overview of how we position tracking inside an organisation, start from our homepage and explore the technical capabilities we bring to performance media.
A practical social media program combines creative experiments, funnel optimisation (TOF → MOF → BOF), and accurate measurement. Example funnel:
We implement GA4 with server-side tagging and event deduplication to reconcile platform-reported conversions with backend order data. Reporting ties media spend to revenue and margin so optimisations prioritise profitability. Example: a US DTC store with $50,000/month ad spend might treat a 10-20% CAC reduction as an achievable short-term target (estimate; results vary by vertical and creative). All cost and revenue figures below are illustrative estimates for US scenarios.
Callout: Accurate attribution often reduces wasted spend. Reconciling platform data with order-level events helps identify underreported conversions and informs bidding strategies that protect margin.
We compare period-over-period revenue, CAC, and contribution margin after implementing attribution fixes and prioritised tests. Our reporting shows both platform metrics and reconciled revenue so stakeholders see the delta between platform-reported conversions and backend-verified outcomes. See examples of our technical-first approach on the Services page and find contact options on our Contact page.
If you run a Shopify or WooCommerce store, we build event mapping that connects ad clicks to order-level revenue in BigQuery or your BI tool. For B2B SaaS, the focus is lead-quality scoring, pipeline attribution, and revenue-marketing alignment. Our engagements are designed to be long-term partnerships with monthly cadence and quarterly strategy reviews.
Ready to align social media spend to revenue and margin? Book a Free Strategy Call to review your current tracking and media plan, see a custom test roadmap, and get an estimate of expected CAC improvements for your US operation.
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