App User Acquisition
Singular
Singular is a marketing analytics and attribution platform built for mobile app growth teams. It unifies campaign cost, creative, conversion, revenue, and attribution data from many partners, supports fraud prevention, deep linking, privacy-era measurement, return-on-spend analysis, automated data pipelines, and reporting across paid channels and platforms. It fits organizations that need both mobile measurement and normalized spend data in one system, particularly when finance and growth teams require campaign-level profitability views and can maintain consistent partner, event, and revenue mappings.
What it does
Singular's distinguishing move is joining marketing data on both sides of the equation: it ingests granular cost, creative, and click data from hundreds of ad networks and stitches that spend to install and downstream conversion data from its own attribution SDK. The result is campaign-, creative-, and keyword-level ROAS in one normalized view, instead of reconciling an MMP and a spend aggregator separately. It also covers SKAdNetwork and privacy-era measurement, fraud prevention, deep linking, and automated pipelines into warehouses and BI tools. Singular fits organizations where finance and growth teams both need trustworthy profitability views and can maintain consistent partner, event, and revenue mappings. Pricing is freemium and scales with tracked conversions and connected data sources.
Where it fits
Singular sits across the analytics and data layers, unifying ad spend with attributed outcomes before they reach reporting and finance.
Core features
- Marketing cost aggregation from hundreds of networks
- Attribution stitched to spend for true ROAS
- Creative- and keyword-level performance analytics
- SKAdNetwork and privacy-era measurement support
- Automated ETL pipelines into warehouses and BI
Best for
- Growth teams that need spend and attribution in one system
- Finance and marketing aligning on campaign profitability
- Apps running many networks that need normalized cost data
Beginner notes
- The value depends on connecting every spend source; missing network credentials leave blind spots that quietly distort ROAS.
- Keep partner, event, and currency mappings consistent, because cost-to-revenue joins break when naming drifts.
- Expect iOS numbers to be modeled under SKAdNetwork, and separate that from deterministic Android data when reading reports.