Performance-first online advertising services for mobile apps that focus on profitable user acquisition, clean attribution, and scalable growth across Google, Meta, TikTok, and Apple.
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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.
Here's what sets us apart from the competition
Find answers to common questions
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 UA
Clean attribution
Strategy → Scale
Mobile app user acquisition is different from standard eCommerce or lead generation: attribution windows, platform policies (ATT/SKAdNetwork), in-app events, and lifetime value (LTV) modelling all change how you measure performance. Prebo Digital builds online advertising services for mobile apps that prioritise revenue and profitability over installs alone, aligning paid media with retention, monetization, and long-term unit economics.
Our approach combines platform expertise (Google App campaigns, Apple Search Ads, Meta App Install, TikTok), analytics (Firebase/GA4, server-side tracking), and CRO for in-app funnels. See how this maps to a growth system on our Services overview and why we pair media with tracking on the Prebo Digital homepage.
We structure app campaigns around measurable business outcomes, not installs. Example workflow:
In the US context, CACs vary by category. For reference, casual apps often see CAC estimates around $1-$8 per install, while finance or utility apps can be $5-$40+ per acquisition - ranges are illustrative and depend on targeting, creatives, and funnel conversion rates. We use these ranges to model budgets and expected payback periods for campaigns.
Accurate measurement requires layered tracking: client SDK events (Firebase), server-side collection, and network-level signals (SKAdNetwork, Google Ads conversions). Below is a simple tracking table that shows common points we standardise for mobile app campaigns.
| Layer | What we capture | Purpose |
|---|---|---|
| Client SDK (Firebase) | Installs, in-app events, session data | Event fidelity for LTV modelling |
| Server-side collector | De-duplicated events, server attribution | Resilient measurement under ATT and cookie constraints |
| Ad networks | Campaign-level conversions (SKAdNetwork, Google signals) | Optimization signals and budget allocation |
| BI / Reporting | Revenue, cohorts, CAC vs LTV | Actionable dashboards for growth |
We optimise across the funnel: TOF (awareness) creative and broad audiences, MOF (engagement) with benchmarked playbooks, and BOF (conversion) focusing on onboarding flows and first-purchase events. A typical funnel breakdown we run for US apps:
Creative tests are run with statistical rigor: holdout cohorts, incremental lift checks, and ROAS by cohort. That same rigor applies to budget scale decisions to protect overall MER (marketing efficiency ratio) and long-term profitability. For examples of how this integrates into a broader growth system, read about our methodology on the About page.
We operate on monthly retainers with clear scopes: campaign strategy, creative testing, tracking implementation, and ongoing optimisations. Pricing is customised by app size and goals, and engagements are designed to be long-term so we can optimise LTV and CAC over multiple cohorts. Our service combines performance media, CRO, and analytics engineering to reduce wasted spend and improve actionable ROAS calculations.
Practical example: a US subscription-based app targets a LTV of $120 and plans a 6-month payback window. If target payback share is 30%, the CPA target becomes $36. We use that CPA to shape bidding, creatives, and experiment cadence. These models are estimates and should be validated with first-party events and cohort analysis.
If you want to discuss how an acquisition funnel or a server-side measurement plan would look for your app, our contact page explains engagement steps and next actions.
Quick takeaway: Online advertising services for mobile apps should be built around clean attribution, cohort LTV, and funnel optimisation - not installs alone. Server-side tracking and cross-network measurement protect your spend and clarify which channels actually drive revenue.
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