How Reddit *Conversion Lift* proves impact

The design#

Randomised exposed-versus-control splits isolate the ad effect from baseline demand. That makes lift the only honest answer to whether Reddit creates customers or merely touches them. Reddit incrementality material documents the shared experimental design. (Page metadata conflicts on date; treat publication timing as unverified.)

The outputs#

Total and incremental conversions, converters and revenue, penetration rate, revenue per user, iCPA and iROAS. iROAS, not attributed ROAS, is the number that belongs in board decks. Segment by placement, format, platform, creative and targeting to learn what drives the increment, not just how much exists.

MeUndies in practice#

Reddit MeUndies case study reports 30 per cent traffic lift, 12 per cent transaction lift and 20 per cent purchase lift from promoted carousel ads, calling the results spectacular across visits, carts and purchases. Case-study dates are unverified, but the design pattern is the lesson: lift on the hero format before scaling it. Case: MeUndies study.

When to run lift#

Biggest view-heavy campaigns first, then channel-level reads before budget fights, then creative comparisons that attribution cannot settle. Lift needs scale to reach significance; small accounts should pool campaigns or accept directional reads. Significance discipline: testing windows.

Lift versus attribution#

Attribution divides credit; lift measures creation. Run both: attribution steers daily optimisation, lift calibrates how much of the attributed total was real. Re-calibrate after major mix changes, since incrementality decays as spend saturates audiences. Calibration partner: attribution windows.

Putting lift into practice#

Scope one lift study this quarter on the biggest view-heavy campaign: hypothesis, metrics by funnel stage, significance sizing, maturity window. Pre-commit the decisions the results will trigger; uncommitted studies gather dust whatever they find. Studies without stakes are theatre.

Publish results internally with methods attached, win or lose: null results kill bad budgets as valuably as positive results defend good ones. Culture: testing windows and view versus click.

Frequently asked questions#