OOH may appear to be the antithesis of the efficiency- and measurement-obsessed norms of the digital advertising era: one-to-many and not easily attributable. But the channel is evolving, becoming easier to measure and to strategize around thanks to technical breakthroughs.
In order to produce accurate attribution models, data must be combined, centralized, clean, valid, and recent. Brands that compile customer data from all channels and assemble the tech that produces multi-faceted views of customer journeys will have a competitive advantage. AI-driven modeling is possible with the right data tools in place.
Ads Data Hub incorporates privacy by design and is first-party data-driven, which is crucial in today’s environment. It is built on a future-proof cloud architecture, meaning as technology continues to evolve, ADH will stay relevant. With all of its capabilities, ADH should be on every marketer’s radar.
A new generation of technology-enabled screens have cropped up in unexpected places in recent years, and the audiences and engagement levels they promise could be game-changers for marketers.
Given that Apple’s Limit Ad Tracking feature already renders roughly one-third of iOS users totally anonymous, drive-to-store conversion measurement has been limited at the device-level for some time. The iOS 14 update from Apple simply adds another challenge on top of what was already a difficult endeavor. For marketers who haven’t done so yet, they should take this opportunity to pivot to measurement strategies that are less reliant on the ever-shifting policies of tech giants like Apple.
Techniques for measuring DOOH exposure and mapping to give cross-device measurement more meaning are being utilized by larger brand marketers, but smaller companies are also getting into the game and finding innovative ways to layer maps onto their local strategies.
Here are five ways that marketers can use mapping technology in their local campaigns.
One medium that will be especially helpful in the recovery is connected TV (CTV). About three-quarters of households own connected TVs, so SMBs can easily reach the public through this ad-supported medium as life returns to normal.
There are many opportunities to excel both in the current and post-pandemic marketing landscape, but businesses will only be able to take advantage of them if they intelligently create demand. Because of this, SMBs should use audience and measurement data to inform their CTV advertising strategies as markets reopen.
Let’s face it: Affiliate marketing gets a bad wrap. Once considered a channel fraught with black-hat players, fraud, weak strategy, and an overall lack of transparency, affiliate marketing suffered from a reputation for opacity that did not imbue confidence and trust in partners. Most importantly, there wasn’t a sufficient level of confidence that the channel could deliver desired results and outcomes.
The reality is that the last-click-only perception of affiliate marketing is a thing of yesteryear. Looking back, coupon and loyalty dominated the category because of this reliance on the last-click model embraced by brands. That model stymied the channel’s advancement and progression. However, affiliate is no longer relegated to rudimentary tactics like banner advertising on coupon sites.
What most ad platforms cannot tell you is how your ads drove foot traffic to stores and other physical locations you care about. If driving foot traffic to retail locations is your job, Google Ads and other digital ad dashboards can’t help you. When in-store foot traffic attribution is crucial, how do you solve for it?
In this article, we cover three ways to solve for attribution, ranging in difficulty from easy to hard. We look into easy options that are inexpensive but tend to be unreliable. We evaluate a medium option that has a moderate cost but is highly reliable and bypasses human error. And lastly, we look at a hard option that incorporates several tools and, while highly reliable, comes at a high cost and is difficult to scale.
Marketers surveyed showed an especially keen interest in understanding how they can integrate location data with other kinds of information. Asked how they deploy location data, 27% said it’s a “key component of a broader strategy to map the customer journey online and offline.” Twenty-six percent, the second-largest segment, said they were interested in learning how to marshal location data in conjunction with other data to achieve more advanced goals than their current practices allow.
By facing the harsh truth that we need to lean into disruption – instead of patching up past approaches or creating inadequate work-arounds – our industry will build something better that helps us increase value in our marketing spend. Shifting to CMM would provide a framework to address the full business (not just marketing) needs, and help us all be ready to adapt through data-driven decision making. And when you can adapt, you can build competitive advantage, evolve, and thrive.
Ultimately, ensuring the success of purpose-driven campaigns comes down to building meaningful connections using all the technology, data, and creativity at one’s disposal to reach the elusive double bottom line. Here are four tips that can help marketers tap into data and technology to optimize their purpose-driven campaigns:
Without pixels, marketing in the digital world would be a guessing game. However, with 90% of all commerce still taking place in the physical world, oftentimes marketers find themselves in the dark, not knowing how their customers are interacting with their brands offline. Enter location intelligence, or as we like to call it, pixels for the real world.
Take a moment to reflect on the past few weeks. Did you stop at a coffee shop on the way to work? Did you work out on specific days of the week at a nearby gym? Are there restaurants you frequent when you are too lazy to cook at home? In a study, published in Nature Human Behaviour, researchers found that people frequent up to 25 places at any given time period. Similar to marketing pixels placed on websites, the ability to understand physical, real-world behavior such as path-to-purchase, visitation patterns, day-of-week preferences, and daily activities fuels more strategic decision making.
Location intelligence has become an important but crowded sub-sector of local media and commerce. When it comes to value for retail brands, marketing tactics are all about driving (and measuring) foot traffic. This is where Paris-based location marketing and analytics company Teemo continues to innovate.
As we discussed with CEO Benoit Grouchko on the latest episode of Heard on the Street, the company works with multi-location brands like JoAnn Stores to boost return on ad spend by growing physical foot traffic.
Responsible location intelligence involves practices like “stop data,” to measure users’ location dwell times, and the scale Foursquare achieves in its network of app publishers. Placed is one of the first location data players and a leader in attribution since 2011.
Now that the two companies have come together via acquisition, how does that position Foursquare for interstellar domination of the location intelligence market? It’s about greater capability and scale, say Foursquare’s Josh Cohen and David Shim, our guests on the latest episode of Heard on the Street.