Shim now faces the challenge of steering a fast-growing tech business through uncertain times for data-driven companies. While location tech is a lucrative business that provides crucial insights for brick-and-mortar companies and has yet to hit peak productivity, the industry is also facing concerns of an unprecedented scale about how much it knows about the people who power its insights.
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.
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.
Automotive OEMs have bulk data plans with cellular carriers primarily for collecting vehicle diagnostic data (e.g. mileage, engine warnings, etc.). As a result, it is now possible to capture data from millions of vehicles. This presents an opportunity to capture exponentially larger audio data sample sizes, especially for AM/FM radio, which will fundamentally change audience measurement, ad attribution, and program insights. While data today is primarily audio listening, the introduction of autonomous vehicles will result in significant consumption of video that can be measured in a similar way to audio.
The result of this data deluge? Organizations lack the insight into their customers they desperately need to deliver meaningful experiences, secure sales, and retain customers. New research estimates 48% of them struggle to gain these insights due to the data silos and more than half admit they don’t have a full picture of their marketing data and their customer journey.
Given the many challenges marketers are up against, it’s no wonder they struggle to define their customer journeys and optimize customer interactions. Below I offer some advice for those in this data struggle.
The blurring lines among search, social, and e-commerce only muddy the water when it comes to determining the customer’s journey to conversion. So, how can advertisers accurately attribute their marketing dollars to customer wins? Increasingly, marketers are turning to a multi-touch attribution strategy that includes both online and offline conversions, thereby moving away from simplistic last-touch attribution models.
On this week’s Location-Based Marketing Association podcast: Walmart Mexico accepts WhatsApp orders, Nex raises £2M for lunch discovery, Gucci lets try on shoes in AR, 7Eleven delivers to beaches & parks, Reveal Mobile launches foot traffic attribution, Trax acquires Shopkick.
Good news for the whole location-based marketing industry—a new report from location data firm Factual based on a survey of location data buyers finds the field is getting more effective and better at measuring its results. Nearly 9 in 10 marketers said location data is driving more effective campaigns. Eighty-six percent said it’s growing their customer base, and 84% reported higher customer engagement.
However, while use of location-based marketing is set to grow to 94%, only 24% use it or are planning to use it to establish offline attribution.
Factual, one of many companies in the location intelligence space, emphasizes offline foot traffic and “visitation insights.” Tracking the elusive online-to-offline buying journey is the name of the game, and Factual touts the advantage of a 300-million device observation graph. Factual VP Ocean Fine breaks down her company’s approach to location on our latest podcast.
Unfortunately, there’s no “silver bullet” for separating good data from bad. Instead, organizations should think of data quality as a habit, with “good” data clearly defined and concrete processes in place to harvest what’s valuable and discard what isn’t.
With that in mind, here are three steps to taking unfiltered data and deciding what to keep — and what to throw out — to achieve optimal data accuracy.
Online metrics, like click-through rates and return-on-ad-spend, can quickly show ecommerce retailers how well their digital advertising campaigns are working. But what happens in the real world? The KPIs used in ecommerce mean almost nothing to brick-and-mortar merchants. In fact, digital approximations can actually cause merchants with physical locations to overspend on certain audience segments, while undervaluing others.
That’s something Zenreach is trying to change.
Brands want to engage consumers. Though that’s an obvious statement and a universal truth, how it happens is a moving target that shifts with consumer technology. Success in the ad tech world requires intellectual curiosity about emerging tech and a desire to dig into the details.
Factual VP of Agency & Strategic Partnerships Ocean Fine considers that curiosity essential to her success and the victories of any company in ad tech. The latest guest on Street Fight’s Heard on the Street Podcast, she’s inspired by the smartphone’s transformation and advises marketing execs to be attack-ready for all emerging tech.
With privacy top of mind for marketers, offline measurement firm Freckle IoT is hitting the market this morning with an expanded attribution product backed by just about the most compliant consumer data on the market. Its compliance is secure because it comes from Killi, a consent management company also founded and headed up by Freckle Founder and CEO Neil Sweeney.
Let’s face it—we are a long way from being able to show that digital campaigns, and most other advertising formats, resulted in specific in-store sales. There are simply too many unconnected data silos to stitch together meaningful and statistically relevant results. The ad seen on TV can’t inform your phone or laptop that it’s also seen the ad, while the point-of-sale system or online checkout can’t notify those previous touch points to confirm the sale occurred. So if the scale of accurate location data prevents it from being a true stand-alone solution for proving attribution, what role will it play?
Changing political headwinds and increased media attention on data collection and privacy are apparently rattling marketers, who named government regulation as an obstacle to data-driven campaigns more than any other single factor. That’s per a survey of U.S. marketers by Winterberry Group and the Interactive Advertising Bureau, eMarketer reported.
In 2019, we are just scratching the surface of location data’s potential for improving the ROI of advertising and marketing. As we approach the next decade, location intelligence will be a major factor in determining which brands thrive and exist in the many years to come and which ones fall by the wayside by not taking their data seriously enough.
Out-of-Home (OOH) advertising is having a fantastic run. It is the only traditional media channel to consistently grow over the last 10 years and is expected to continue growing in 2019, according to the Outdoor Advertising Association of America.
However, OOH teams are often siloed away from broader digital marketing teams and are categorized differently in budget breakdowns and post-campaign analysis. As the field adapts and evolves, continued separation of digital and OOH teams is going to hinder, rather than help, your efforts and results.
Marketers with limited budgets are turning to a bevy of self-serve online-to-offline attribution solutions to correlate visitation rates and purchase data with digital campaigns. Utilizing a variety of testing methods for mapping campaign performance and purchases, these platforms are giving marketers the answers they need to justify online ad spend. Here are five examples of online-to-offline attribution platforms that marketers are using right now.