Segwise

AI-driven analytics that turns MMP data into ROAS-boosting insights for mobile games and apps.

4.8 (4)

Geprüft von Daniel Nikulshyn·Aktualisiert Mai 2026

Übersicht

Segwise is a marketing analytics platform built for mobile game and app teams that want to get more from their user acquisition spend. It connects to mobile measurement partner (MMP) data and uses AI to surface the campaigns, creatives, and audience segments that are quietly draining budget or driving outsized returns. Instead of forcing UA managers to dig through dashboards, Segwise automatically flags anomalies, performance drops, and optimization opportunities across channels. Teams get clear, prioritized alerts about what is working, what is breaking, and where to reallocate spend to improve ROAS. The tool is aimed at growth, UA, and analytics teams running paid campaigns at scale who need faster diagnosis and decision-making without expanding headcount.

Hauptfunktionen

AI-powered MMP data analysis
Automated ROAS and performance monitoring
Anomaly and issue detection alerts
Creative and campaign-level insights
Cross-channel UA performance tracking
Optimization recommendations for spend

Pro & Contra

Pro

Automated detection of ROAS issues
Works directly with existing MMP data
Reduces manual dashboard analysis
Actionable, prioritized alerts

Contra

Primarily useful for mobile apps and games
Requires an MMP integration to function
Value scales with ad spend volume

Bewertungen

4.8

Durchschnitt aus 4 Bewertungen.

Melde dich an, um eine Bewertung abzugeben.

Priya Nair

Compared a few options

Evaluated this against two competitors. Where it wins: anomaly and issue detection alerts and reduces manual dashboard analysis. Where it lags: value scales with ad spend volume. On balance the feature set — especially cross-channel UA performance tracking — justifies the 5 stars for our use case.

Nadia Petrova

Use it every day

Honestly didn't expect to like it this much. Cross-channel UA performance tracking is exactly what I needed, and works directly with existing MMP data. but I reach for it almost every day now and it just clicks.

Esther Adeyemi

Does the job

Pretty happy overall. Anomaly and issue detection alerts just works and automated detection of ROAS issues. but no dealbreakers — I'd recommend it to a friend without hesitating.

Ethan Brooks

Years in this space

I've evaluated a lot of these over the years. What stands out here is creative and campaign-level insights — handled better than most — and automated detection of ROAS issues. Value scales with ad spend volume is my one real gripe. Worth the time if this is your use case.