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Purpose of the Document

  • To create a high-level document that explains Geopath’s R/F methodology, what those metrics do, and how they’re useful in day-to-day selling and buying.

Target Audience

  • The average Insights Suite user/Geopath member - someone who is not necessarily a “power user” and needs good talking points for selling and understanding reports.

Specific Examples and Use-cases to show change

  • High reach for single units

  • Reach for street furniture in large markets showing low reach

example from Nolan Panno

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Reach and Frequency are powerful metrics for understanding the impact of an OOH campaign. This document provides a brief guide on:

  • The importance of Reach & Frequency within a campaign

  • How Geopath validates our Reach and Frequency approach

What are Reach and Frequency?

When someone is looking to measure a campaign’s effectiveness at reaching their audience, some helpful metrics to do this are Reach and Frequency. Reach is the percent of your target audience that has seen your campaign, and Frequency is the average number of times the ad was seen over the course of your campaign by the target audience. Reach and Frequency occur in an inverse relationship to each other at a constant TRP level. Within such a campaign, as Reach goes up, Frequency goes down, and vice versa.

Simply put, Reach x Frequency = TRPs.

How Geopath Estimates Reach and Frequency

To start, we utilize rich neighborhood profiles to understand the demographics and behaviors of people across the country. In the past, Geopath’s Reach & Frequency approach was built around highly aggregated, anonymous carrier data. This mobile data was used to determine average frequency and understand general home locations, which allowed us to look at the footprint of audiences in different markets. However, there was no device-level data available to us at the time for validation of the approach.

Using observed movement data from a panel of mobile devices, today we are able to more specifically understand the trips that people take throughout a market – the purpose, the distance, the approximate route, and more. The observed device-level movement data is then matched to actual roadways in the market – this allows us to understand more precise pathways that people take and the frequency of those trips.

Once we have validated the routes, and the counts of people on those roadways, we factor in visibility information to understand the likelihood that an ad was seen.

How did Geopath previously estimate reach and frequency and why was there a need for an improved method?

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How

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Limitations

What is fundamentally different in the new approach?

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to

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cross-examine many scenarios at the unit and package level

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Include an Example

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Validating Reach and Frequency (

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Why is

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the approach correct?)

  • Why is this new methodology valid?

  • reach and frequency validation over time (seasonality, 2019 vs 2020 vs 2021)

  • How is this more valid than the past methodology?

We validate this trips volumes with actual vehicular traffic counts on roadways and foot traffic at points of interestWe first make sure that the panel of mobile devices is a representative sample for determining home location and trips, by observing the mobile signal and rest patterns. From there, we compare the observed mobile data with traffic counts on particular roadways from different DOTs, and live traffic counts. At this stage, we know there is a high level of alignment between the mobile data and the DOT data.

Once we are confident in the trip volume, and that we’re able to observe a device over time, we are therefore able to evaluate the frequency of trips over time as devices pass by OOH inventory. Knowing that the panel of devices is representative of the movement in the market, we can then conduct Reach and Frequency analysis based around this. Device-level data allow us understand Reach and Frequency more closely, as we’re able to understand duplication at the device and inventory level.

Key Takeaways (considerations for the industry)

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How does this new methodology fit into omni channel/ cross media strategies

  • What is the impact on considering OOH in MMM

  • Mark Costa what’s actually being done for RF in other channels?

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Though impressions are OOH’s most core measurement metric, including Reach and Frequency allow for a deeper understanding of the impact of a campaign. Utilizing campaigns with high Reach can allow you to effectively get your message spread widely throughout a market among your target audience.  Frequency can be well utilized for campaigns that benefit from repeat exposures, like for a newly introduced or seasonal product.

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