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Chronicles

The story behind the story

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Twitter added just 2M MAUs in Q2, excluding “SMS Fast Followers”

Kurt Wagner / Re/code :

Re/code Kurt Wagner

Context & Ripple Effects

The pattern here is familiar: Twitter keeps beating on revenue while its user count stalls — it did the same in February, beating Q4 revenue with just 4M new monthly users. The twist this quarter is that the headline 316M MAUs includes "SMS Fast Followers," and stripping them out leaves only 2M net additions alongside the better-than-expected $502M Q2 revenue.

Why the exclusion matters becomes clear two years later, when Twitter admits it had been overstating MAUs by 1–2 million per quarter since Q4 2014 — the same period these Fast-Follower-inclusive figures were being reported.

First-order effects

  • Investors get a cleaner read on the core business: ex-SMS growth of 2M is materially weaker than the headline suggests, putting pressure on management to justify a valuation built on audience scale rather than the $502M revenue quarter.
  • "SMS Fast Followers" moves from footnote to the number Wall Street actually watches, forcing Twitter to disclose both figures going forward.

Second-order effects

  • The market starts pricing Twitter purely on core-user trajectory: each subsequent report where the ex-Follower count flattens or falls — as it does by Q4 2016 — triggers sharper after-hours selloffs than any revenue beat can offset.
  • Advertisers weighing Twitter against faster-growing platforms get a data point for shifting budgets toward audiences that are demonstrably expanding.

Third-order effects

  • Metric credibility becomes a structural issue: once the overstatement surfaces and revisions show MAUs actually shrinking in some quarters, every future social-platform user metric gets discounted — pushing investor scrutiny toward revenue per user and engagement instead of raw MAU counts.

The trend: Twitter's arc from 2015 through 2017 shows a platform whose reported user growth was progressively revealed to be softer than headline metrics suggested, shifting how markets evaluate social-media companies.