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Restaurants & QSR
See which media, promotions, and local campaigns actually add orders, across drive-thru, app, delivery and dine-in. Then put your next dollar where it counts.
300+ brands | ~9.8% average sales lift | ~20-50% of spend often found non-incremental.
Restaurants & QSR
Why it matters
Your guests order at the drive-thru, in the app, through delivery and at the counter. Platforms overcount conversions by 20 to 50%, and last click hands the credit to the loyal guest who was coming in anyway. Find out what your marketing really added.
The approach
Review dine-in, app, delivery and other available sources. Reconcile definitions and locations before combining series or attributing a movement to marketing.
Estimate media lift next to promotions and pricing, so a discount never takes credit from pre-existing demand, or vice-versa.
Run a geo experiment against matched markets, with a synthetic control built from comparison regions.
How it works
Did the regional campaign add orders?
Find out in four steps.
Choose the outcome.
Orders or sales, locations, period.
Scope the regional test.
Markets, fit, power, feasibility.
Estimate the impact.
Lift and iROAS, with seasonal and promotional context.
Plan the next period.
Move budget on the evidence.
People + agents
Growth agents surface what changed and prepare next steps. You set the goal, review the evidence and decide what they can act on.
Built around your business
Work with Lifesight experts to build your measurement program and put agents to work. Scoped to your business, with support along the way.
A few useful answers
Yes, where the order data exists. We reconcile definitions and locations first, and tell you plainly where coverage has gaps.
Incrementality is the sales your marketing caused beyond what would have happened anyway. iROAS counts only that, per dollar spent. Platform ROAS also credits orders you would have gotten regardless.
We model offers and pricing next to media so each gets its own effect. Where they overlap heavily, a geo test can isolate the media.
Often not. A regional design is typically more defensible than one estimate per restaurant.
Yes, when spend and timing data exist. National media, local store marketing, and co-op budgets can sit in one plan.
Comparable regions, a close pre-test fit, enough orders to detect the effect, and no conflicting promotions or openings.
No. Causal MMM and geo experiments run on aggregated spend and order data, so the approach stays privacy-first.
