Case Study: 1440 scales subscriber growth with BlueAlpha's quality-adjusted MMM

1440 scales Meta to $650K/month with BlueAlpha

1440, a major daily news digest with over 4 million subscribers, faced the challenge of scaling its growth without sacrificing subscriber quality, as measured by its payback rate. With data scattered across multiple platforms, the team, led by VP of Growth Erika Burghardt, lacked a clear view of which marketing channels were truly driving valuable, incremental signups. They turned to vendor BlueAlpha to implement a quality-adjusted Bayesian marketing mix model (MMM) to find the answer.

BlueAlpha's solution integrated all of 1440's data to build a weekly-refresh MMM that weighted channel performance by both subscriber volume and quality. The model identified Meta as the primary, efficient growth driver and revealed that LiveIntent had a negative correlation with growth. Using these insights, 1440 scaled its Meta spend to approximately $650,000 per month, eliminated the entire LiveIntent channel, and turned off underperforming Google campaigns. This data-driven approach allowed 1440 to grow confidently while protecting its crucial payback rate.

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