NZ Roadside Insights: OOH ROI in 2026

For years, proving anyone actually *looked* at your billboard was a dark art. Out-of-home (OOH) advertising has always struggled to quantify real audience engagement, but the 2026 NZ Roadside Insights platform changes the game with granular OOH attention measurement. It works by mixing anonymized mobile data with a national network of roadside sensors, giving you a clear view of how people interact with your boards and screens. The question is, how do you actually use this system to prove your OOH spend isn’t just wishful thinking?

Step 1: Setting Up Your Campaign in NZ Roadside Insights

This is the most important step. If you’re sloppy with the initial setup, you’ll be analyzing garbage data for weeks and wondering why your results make no sense.

1.1 Accessing the Campaign Manager

First, get logged into your NZ Roadside Insights account. The main dashboard has a navigation pane on the left with a few modules: “Dashboard,” “Campaigns,” “Audience Insights,” “Reporting,” and “Settings.” You’re going to click on “Campaigns” to get to the campaign management area.

1.2 Creating a New Campaign

Inside the “Campaigns” module, find the big blue “New Campaign” button in the top right. This starts the campaign wizard. It’ll ask for a Campaign Name (be descriptive, like “Auckland CBD Q3 Brand Awareness”) and a Campaign Objective. Don’t just type “Brand Awareness.” That’s lazy and unhelpful. If you choose something specific like “Drive Foot Traffic to Retail” or “Increase App Downloads,” the platform will actually set up relevant reporting metrics for you down the line, which saves you a headache.

1.3 Defining Campaign Dates and Geographic Scope

The next screen is for your campaign’s active dates. Just use the calendar picker to set the Start Date and End Date. You can run campaigns for a single day or for up to 12 months. Now for the part that requires real precision: “Geographic Targeting.” You’ll see “Pre-defined Zones” and “Custom Polygon.” For almost any serious OOH campaign, “Custom Polygon” is the only option to use.

1. Select “Custom Polygon”: An interactive map of New Zealand will pop up.
2. Draw Your Area of Interest: This is where people mess up. Use the drawing tool to trace the *exact* streets or blocks where your OOH assets are. If your digital billboards are on Queen Street and Customs Street East in Auckland’s CBD, you need to draw tight polygons around those specific blocks. Do not just select the pre-defined “Auckland CBD” zone. It’s way too broad and your data will be diluted with irrelevant traffic. You get up to 10 polygons per campaign.
3. Refine Radius (Optional): You can add a “Catchment Radius” around your polygons, from 50 to 500 meters. This can be useful for huge-format boards, as it captures attention from people slightly outside the immediate area, but use it with caution.

Pro Tip: Pull up your media plan and find the exact GIS coordinates for your assets before you start drawing. Most OOH vendors can provide these. You can upload them directly using the “Import KML/GeoJSON” option under the map, which saves a ton of time and guarantees accuracy.

Step 2: Configuring Attention Measurement Parameters

With your geography locked in, the platform asks you to define how it should measure attention. This is the whole point of using NZ Roadside Insights for OOH attention measurement.

2.1 Selecting Impression Types

In the “Measurement Settings” tab, you have to choose your “Impression Types.” The options are what you’d expect:

• Vehicular Impressions: This tracks attention from people in cars passing your signs, relying on anonymized navigation data and sensors that detect vehicle speed and presence.
• Pedestrian Impressions: This is for people on foot. It uses aggregated mobile location data and pedestrian flow sensors, which are common in places like Wellington’s Lambton Quay or Christchurch’s Cashel Street.
• Cyclist Impressions: This is a newer option for tracking cyclists, which is great if you’re targeting active commuters.

You can pick any or all of them. Just make sure your choices match your asset. A massive billboard on State Highway 1 is all about vehicular impressions, while a screen in a shopping mall is obviously about pedestrian impressions.

2.2 Defining Viewability Thresholds

This is where you can really refine your data. The platform lets you customize viewability thresholds. Go to “Advanced Measurement” and you’ll find these two critical settings:

1. Minimum Dwell Time: This is the shortest time someone has to be in view of your asset to be counted as an “attentive impression.” The default is 3 seconds. For a simple logo, maybe 2 seconds is enough. But for creative with any complexity, I push this up to 5 or even 7 seconds to make sure you’re measuring genuine engagement, not just glances.
2. Line of Sight Angle: This sets the viewing cone for your ad. The default is 60 degrees, but if your board has a weird angle or is partially blocked, you can tighten it to 30 degrees to avoid counting people who couldn’t have actually seen the ad.

Common Mistake: The biggest mistake I see is people leaving these settings on default. A default threshold might not reflect what “attention” really means for your specific creative and placement. Run some A/B tests on similar sites to figure out what settings give you the most realistic data.

Step 3: Analyzing OOH Attention Data

Once data starts flowing in, the job shifts to figuring out what it all means.

3.1 Working through the Performance Dashboard

On the main navigation, click “Reporting” and then “Performance Dashboard.” This is your top-level view. You’ll see these key metrics:

• Total Attentive Impressions: The total count of exposures that met your custom viewability rules.
• Average Dwell Time: The average time people spent looking at your ads.
• Attention Rate: This is the good stuff, the percentage of all potential exposures that qualified as an attentive impression. If this rate is low, say under 15%, it’s a red flag for bad placement or boring creative.
• Reach: An estimate of the unique people who saw your ad at least once.
• Frequency: The average number of times each unique person saw the ad.

You can filter all of this by date, by a specific OOH asset ID, or by the geographic polygons you drew.

3.2 Deep Diving with Audience Insights

The “Audience Insights” module is where you find out *who* is paying attention. Click it from the left menu.

1. Demographic Breakdown: Using aggregated mobile data, this section gives you an anonymous demographic profile of your audience, including age, gender, and estimated income. You might find out your billboard in Newmarket, Auckland, is getting way more attention from the 25-34 age group with high disposable income than you thought.
2. Behavioral Segments: This is powerful. The platform sorts your audience into segments based on their location history and app usage, like “Frequent CBD Shoppers” or “Commuters using Public Transport.” This helps you confirm if you’re actually reaching the persona you were aiming for.
3. Cross-Platform Exposure: This 2026 feature tries to see if people who saw your OOH ad also saw your digital ads. It requires integrating your other ad platforms through secure, anonymized ID matching, but it’s a huge step toward a unified view of the customer journey.

Editorial Aside: These demographic and behavioral insights are fantastic, but don’t get carried away. It’s all based on aggregated and anonymized data. It points you in the right direction but isn’t a precise profile of any single person. Never mistake correlation for causation without a lot more digging.

Step 4: Benchmarking and Optimization

Data is just noise without context. You have to benchmark it to know if your performance is any good.

4.1 Using Industry Benchmarks

Inside the “Performance Dashboard,” go to the “Benchmarks” tab. This is your reality check. NZ Roadside Insights provides aggregated industry averages for attention rates and dwell times across different OOH formats and NZ regions. For instance, a 2025 IAB New Zealand report put the average attentive dwell time for digital roadside billboards in major metro areas at 6.2 seconds. That’s your baseline. If your campaign is consistently hitting 8 seconds, you’re doing great. If you’re at 4 seconds, it’s time to figure out what’s wrong.

4.2 Identifying Underperforming Assets

The platform lets you get granular with every single OOH asset. In the “Performance Dashboard,” click “Asset Performance.” You’ll get a table listing each placement and its metrics. Sort this table by “Attention Rate” from low to high. The ones at the top are your losers. Now what?

1. Review Creative: Is the creative on these underperforming assets too cluttered or have bad contrast? Is it just boring?
2. Assess Placement: Go look at the site if you can. Is there a new tree branch in the way? Has traffic flow changed? Is the speed limit too high for anyone to read your message?
3. Adjust Thresholds: Maybe your settings are too strict for that location. For an asset on a fast-moving motorway, you might need to adjust your minimum dwell time to reflect what’s realistic.

Expected Outcome: When you systematically find and fix your worst-performing assets, you pull up the entire campaign’s efficiency and get much better OOH attention measurement results overall.

Step 5: Attribution Modeling for ROI

The whole point of measurement is to connect ad exposure to a business outcome. This platform has tools for that.

5.1 Configuring Attribution Windows

Head to the “Reporting” module and choose “Attribution Modeling.” Here you define an attribution window, the time after someone sees your OOH ad that you’ll credit a conversion to it. This could be 24 hours for an app download or maybe 7 days for a store visit. The window has to match the customer behavior you’re trying to influence.

5.2 Integrating Conversion Data

To make attribution work, you have to feed it your conversion data. The platform can connect to CRMs like Salesforce or HubSpot and analytics tools like Google Analytics 4. You’ll find an “Integrations” tab in the Attribution Modeling section.

1. Select Data Source: Pick your platform from the list.
2. Authenticate: Follow the steps to securely connect your accounts.
3. Map Conversion Events: Tell the platform what a “conversion” is in your system, whether that’s a “Purchase Complete” event, a “Lead Form Submitted,” or a “Store Visit” record.

The platform then uses privacy-safe matching techniques (like hashed device IDs) to see if people exposed to your OOH campaign later showed up in your conversion data. Pro Tip: Don’t try to make OOH the hero of a last-click attribution report. It won’t be. Use a multi-touch attribution model because OOH is often a powerful top-of-funnel primer that makes all your other channels work harder. A recent eMarketer report showed that campaigns mixing OOH and digital had a 3x higher conversion rate in 2025 than digital-only ones. The NZ Roadside Insights platform finally gives you the hard data to prove that foundational role. By setting up campaigns correctly, digging into the granular attention metrics, and connecting it all to conversion data, you can finally show a real return on investment for OOH advertising.