What to Consider Before Choosing Reveal for OOH Measurement

Reveal is an out-of-home (OOH) measurement and attribution platform that proves the incremental causal lift of OOH campaigns across brand lift, foot traffic, in-app actions, website activity, and sales. It is built for brands, agencies, and media owners who need statistically rigorous proof of campaign impact across all OOH formats. If your priority is a defensible, causally measured read on whether OOH moved the needle—rather than just delivery metrics—Reveal is designed for that job. The main things to weigh before committing are which outcomes you need measured, whether your formats and markets are covered, and how you want to start the conversation (the site routes you through Request a Meeting or Contact Us).

What Reveal actually measures

Reveal's core claim is incremental causal lift—isolating the effect of OOH exposure rather than reporting raw exposure counts. According to the platform, it measures across all formats and all outcomes:

• Brand Lift — changes in awareness, consideration, and intent
• Foot Traffic — store visits attributed directly to OOH exposure
• Sales & Conversions — in-app actions, website activity, and purchase lift

The site presents this with a test-and-control framing. Sample figures shown on the page include exposed users (787.7K over the last 6 months), a conversion rate lift of +30.9%, and a campaign lift of +18% average at a 95% confidence interval. These are illustrative dashboard values, not guarantees for your campaign—treat them as a sense of the output format you'd receive.

Why the causal framing matters

Most OOH reporting tells you how many people could have seen an ad. Reveal's positioning is that it tells you what changed because they saw it, using test vs. control comparisons. If your stakeholders (clients, finance, brand leadership) push back on attribution claims, that distinction is the reason to consider this category of tool at all.

Who it's built for

The platform names three audiences, and your fit depends on which you are:

If you're a brand or agency running multi-format OOH and being asked to justify the budget, the measurement scope lines up. If you only need basic impression and reach counts, the incremental-lift layer may be more than you need.

Questions to settle before you commit

Because pricing, contract terms, and integration specifics aren't published on the site, these are the items to resolve directly with the team:

• Outcome coverage — Which of brand lift, foot traffic, in-app actions, website activity, and sales do you actually need? Confirm each is supported for your campaign type.
• Format coverage — Reveal states it measures impressions and reach for all OOH formats and supports omni-channel OOH strategies. Verify your specific formats (billboards, transit, place-based, etc.) are included.
• Markets — The dashboard references top DMAs and net lift by market. Confirm your target geographies are covered.
• Data integration — Ask how your first-party data (CRM, sales, web analytics) connects, and what access you need to provide.
• Reporting cadence and format — Clarify what you receive, how often, and whether it's client-ready.
• Confidence and methodology — Ask how test and control groups are constructed for your campaign, since the 95% confidence interval shown depends on study design.

How to start

The site offers two entry points: Request a Meeting and Contact Us. Both route to the sales team rather than a self-serve signup, so expect a scoping conversation. To make that conversation productive, come with:

1. Your campaign objective (which outcome you need to prove)
2. The OOH formats and markets in play
3. The data sources you can share for attribution
4. The decision the measurement is meant to inform

That framing lets the team tell you quickly whether Reveal fits—and what a study would require—before you invest further.