GTM Sauce

Deezer · B2C · music streaming app

Check marketing results several ways and use lift tests to correct your mix model

MMM 'not fully satisfying' yet; lift tests confirmed hidden upper-funnel value

Mixedanalytics-attribution

What they did

Uses several 'sources of truth' and looks for them to agree. Brand: every quarter/semester a panel is asked if Deezer knows music, understands them, feels close, and especially whether they'd consider paying; the upward trend matters more than the level. Performance: last-click attribution via MMP, a multi-touch model in progress (biased by web vs app tracking differences), and as many incrementality tests as possible: geo lift (shut down matched regions, with Google Ads tooling), Meta conversion lift, and brand lift with control vs exposed groups. In-house data science builds a media mix model (spend vs daily/weekly traffic, baseline, offline and YouTube brand campaigns). Next step, inspired by L'Oréal: turn incrementality results into correction scores for over-attributed (e.g. search) and under-attributed (e.g. social) channels and feed them into the MMM. Considering a hybrid with an external consultant auditing the MMM.

What happened

Incrementality tests validated assumptions (bigger-than-expected upper-funnel effect); MMM still not fully satisfying, with a flat baseline.
Stage
scale
21:18
“For me, now, measurement is really about multiplying the source of truth.”
Sherina Khalidi
“So, it means that every quarter, every semester, we ask a panel of, of our audience how they feel about, does does Deezer knows music, does Deezer understand me, do I feel close to Deezer, and we especially focus on the paid consideration part”
Sherina Khalidi
29:13
“So, you can, with incrementality testing, estimate a score and use that score to modify your statistic model, your media mix modeling.”
Sherina Khalidi
30:19
“So, one of them is the geo lift. And geo lift is really about shutting down some regions and comparing them to not shut-down regions, but the regions have to be similar”
Sherina Khalidi

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