Use Code: OOHInsider70 for 70% OFF Registration to Placer.AI Discovery NYC (Dec. 10, 2024)
July 28, 2023

How To Measure OOH Advertising: Web Lift and Conversion

How To Measure OOH Advertising: Web Lift and Conversion

The great equalizer for OOH advertising has been two-fold:

1) Privacy laws and walled gardens forcing brands to measure marketing more holistically

2) Advancements in technology have leveled the playing field in terms of what's measurable for OOH

Enter Accretive Outcomes with their suite of analytics tools that enable brands to measure the impact of OOH advertising as a part of their marketing mix. The really cool part about Accretive Outcomes is that it can be used to measure:

- Website visitation and conversion for lift

- Foot traffic visitation for direct attribution

- App downloads and engagement for app-based campaign objectives

Exposed Visitation Rate vs Click-Thru Rate

The simplest way to compare how OOH measurement compares to digital advertising online is by understanding the relationship between 'Exposed Visitation Rate' and 'Click Thru Rate'. On the internet, 'Click Thru Rate' is calculated as the number of times (impressions) that an ad is served divided by the number of times it is clicked. 

(Show as a formula, it would be Clicks/Impressions = Click Thru Rate)

But you can't click a billboard which is why we have 'Exposed Visitation Rate' as the means for comparing OOH ad performance to similar internet-based tactics.

The Exposed Visitation Rate is calculated as the number of website visits registered (via designated conversion pixel) relative to the size of the Total Exposed Group.

Exposed Group Size

Number of tracked consumers who were exposed to the advertising (same as Matched Users)

 

 

Exposed Website Visits

Website Visits of Exposed Group

 

Exposed Visitation Rate

Percentage of Exposed Website Visits and the Total Exposed Group

 

 

What's Measurable?

Know which formats in which markets are working hardest for you and create a hypothesis about how they're working together to create the maximum impact.

See things like...

- How many visits (web and store) did each inventory type contribute (and it's relative performance)

- Which DMA is responding at the highest rates and where to double down

- What markets to avoid and the underperforming parts of your campaign

How To Read It

This is the main Web Lift Report dashboard inside of the Accretive Outcomes dashboard. You're able to select from multiple advertiser accounts and campaigns, and even able to toggle your lookback windows and control groups on-the-fly.

 

Setup

Unique MAIDs (Trackable)

The number of total unique privacy-safe identifiers tied to mobile devices that were exposed to the advertising campaign.

 

Matched Users

Number of matched users in Accretive Outcomes platform.

 

Match Rate

Overall match rate between the unique MAIDs and our Matched Users.

 

Website Visits

Total website visits during the time frame (being reported on).

 

Unique Website Visits

Number of unique website visitors

 

Average Visits Per User

Average visits per user to the website (during the period being measured).

Results

Control Group Size

Number of consumers who did not see the advertising and are in the Control Group.

 

Control Website Visits

Website visits of Control Group.

 

Control Visitation Rate

Percentage of Control Group Website visits and the Total Control Group.

 

Avg Time to Visit (Days)

Average time for exposed users to visit the site.

 

Exposed Group Size

Number of tracked consumers who were exposed to the advertising (same as Matched Users).

 

Exposed Website Visits

Website visits of Exposed Group.

 

Exposed Visitation Rate

Percentage of Exposed Website Visits and the Total Exposed Group.

 

OOH Lift

The difference in the two visitation rates between control and exposed shows the impact of the campaign.

 

Want to work with Accretive Outcomes for measuring your next OOH campaign? They're an AdScout Exclusive partner which means when you work with Accretive Outcomes, you support OOH Insider.