Not as the same study. Conversion lift is a user-level experiment that depends on being able to randomize exposure, which no OOH channel can do. Causal lift answers the same question at market level.

Meta and Google both sell a product called Conversion Lift. It splits real people into an exposed group and a held-back control group, then compares conversion rates between them. It is a genuine experiment, and it is a reasonable thing to want.

Buyers arriving from those platforms ask for it by name, which is why the term shows up in OOH conversations at all. It is a digital-native term rather than an OOH one.

The method depends on controlling who is exposed. On a platform you can withhold an ad from a randomly chosen group and know that you did.

A billboard does not work that way. Everyone who drives past sees it. There is no hold-back group, no randomization, and therefore no user-level control group to compare against. This is a property of the channel rather than a gap in our product roadmap, and it applies to every OOH vendor equally. Where a study is sold under the conversion lift name for OOH, the analysis underneath it is market-level.

Causal lift asks the same question and changes the unit of analysis. Instead of splitting people it splits markets: your campaign markets against comparable markets where you were not running, with a counterfactual prediction doing the work that the control group does in a digital test.

The output is the same shape as what you are used to: incremental conversions, percent lift, and a statistical significance figure. What differs is the resolution. You get a defensible number for the market, not a verdict on individual people.

Same purpose, aggregate method. That is the whole translation.

No per-person verdict. OOH measurement cannot establish that a named customer converted because of a specific billboard, and no method available in the channel can.

No user-level de-duplication across channels. Halo effect models the relationship between OOH and your other channels at market level; it does not follow a person from a billboard to a click.

If your measurement plan genuinely requires a user-level randomized test, OOH is not the channel where you will get one. Better to know that at planning time than to discover it in the wrap report.

Worth saying, because the trade runs both ways. A market-level counterfactual captures the whole effect of the campaign in that market, including the people who saw the board and searched for you later, walked in, or told someone else.

A user-level test only ever measures the people it could identify and track. On a channel where identification is partial by construction, that is a much narrower slice than it sounds.

You may also hear the term sales lift. That is the same study as causal lift, named for the data it happens to be running on. If a rep said sales lift and the platform says causal lift, that is one study rather than two, and neither of them is conversion lift.

Myth: Conversion lift is a study you can buy for an OOH campaign.

Reality: It is a user-level digital experiment. Causal lift is the OOH equivalent, measured at market level.

Myth: Causal lift is our version of a control-versus-exposed user test.

Reality: It is a market-level quasi-experiment. Same purpose, aggregate method. It does not randomize people.

Myth: Sales lift and causal lift are different studies.

Reality: One study, two names.

Myth: Sales lift requires giving AdQuick access to your CRM.

Reality: It requires a CSV of daily events. No CRM access is involved.