UA and Growth Stories from App Leaders

Discover 10 common monetization mistakes subscription apps make and how to fix them. Insights from an experienced practitioner who spent a decade optimizing paywalls, pricing, and retention, now sharing real-world lessons to help you scale revenue sustainably.

What’s driving real growth in dating app marketing-from TikTok wins to custom product pages and Gen Z’s craving for relevance.

Mobile app LTV can quietly mislead. Uncover the hidden mistakes that distort your numbers and how to fix them for smarter growth decisions.

Scaling paid acquisition changes the requirements for analytics. This piece explains what breaks as spend grows, and how teams keep control early, before mistakes get expensive.

When ad spend grows, messy analytics quietly start costing you real money. This story shows why “good enough” tracking breaks at scale, what happens when revenue lags behind spend, and how one subscription app fixed it without building an in-house BI. If you’re scaling paid traffic, this will sound very familiar.

Many teams waste months after PMF fixing analytics instead of scaling. Only a small number turn PMF into 30× growth in the first year. Here’s how they do it.

Forecast smarter in your 2025 app marketing strategy. Blend predictive data with real-world metrics to drive user growth and scale confidently

How to optimize your Web2App funnel to boost conversions, reduce app store fees and scale UA with smarter acquisition strategies

Behind every LTV number is a cohort. Learn how to read them and see your growth differently.

New McKinsey-backed insights for mobile app publishers: Attention quality, not DAUs or installs, explains why monetization stalls. Discover 71 takeaways on how user focus impacts LTV, IAPs, and ad revenue.

Thinking of building your own BI to scale ad spend? Might feel like the power move until you're knee-deep in dev costs, data chaos, and delays. Here's what really happens when teams go DIY.

Explore real-world examples of predictive analytics from apps like Netflix, Spotify, and Uber Eats—see how smart forecasting drives retention, cuts churn, and boosts ROI in the wild, not in a lab.

Explore user acquisition strategies that drive scalable growth—covering paid, organic, retention loops, and predictive data-driven tactics

We break down SaaS BI vs classical BI—covering cost, scalability, maintenance, and flexibility so teams can choose the right analytics stack

We compare Google Sheets vs BI tools for marketers - covering cost, scalability, collaboration, and insights to guide better data decisions

A cohort segmentation strategy built on behavior and predicted value reveals real growth drivers and smarter budget decisions

A ROAS prediction strategy built on early cohort behavior helps teams act faster, scale winners, and cut wasted spend

Predictive cohort modeling spots winning segments early—so you allocate budget where long-term value is taking shape, not waiting for lagging metrics

Predicting LTV and payback gives precise ROI insights, helping marketing teams align spend with long-term customer value

What’s really driving profitable app install campaigns in 2025? We break down fresh data, real UA team experiments, and battle-tested tactics from creative scoring to ROAS-driven scaling.

ROAS and CPA can trick growth teams. Learn why LTV is the smarter metric for sustainable user acquisition and scaling long-term revenue

Discover the hidden gaps in your MMP and how attribution modeling creates a connected, data-driven view of your entire customer journey.