Location intelligence is expanding beyond its well-known uses for advertising (ad targeting, attribution, etc.), supporting enterprises in a number of other ways. That includes supply chain management as well as decisions about where to open another store location.
All of the above applications of location intelligence are fueling UberMedia, our latest guest on Street Fight’s Heard on the Street podcast. UberMedia CEO Gladys Kong says that this expansion of location data’s utility was already underway but has accelerated in the Covid era.
The pandemic has changed the way businesses function, and while a lot of purchasing has moved online, many physical locations remain. Location intelligence is one factor that can help businesses perform better. Its uses include supply and inventory updates, supply-chain improvements, sales and marketing optimization, and monitoring for increased safety.
Household targeting was possible before the pandemic, but it has become even more necessary for brands since shelter-in-place orders began this spring. With more people living together, and spending more time together inside their homes, having the ability to target multiple members of the same household has become more valuable for marketers.
“The pandemic has caused people to spend a lot more time at home. That means more time spent with shared devices,” Tapad COO Mark Connon says. ”Brands need to have a better understanding of who is using what device and when, despite these shifting behaviors, in order to make their engagements count.”
Online actions such as a person’s search history or the brands they like on social media platforms fall short in telling the full story of genuine consumer behavior. Offline behaviors, however, prove to be more indicative of a consumer’s likes, dislikes, and hobbies. During a time when people go fewer places, where they go tells us even more about who they are.
In this episode of Location Weekly, the Location-Based Marketing Association covers X-Mode launching its Consent API for partner apps, Google moving to auto-delete location and search history, and NomadiX Media securing a contract with the Qatar World Cup.
Advertising in 2020 is about the use of precision data, iterative learning, and the ability to be everywhere to a niche group of users.
A key element of success for many advertising agencies, and their clients, is the deployment of a demand-side platform. In this article, we’ll talk about what they are, how they are integral for location-dependent advertisers, and how you can access them.
After huddling with the editorial team about our July theme, we all agreed that it could be time to mix it up a bit. So we’re returning to a meat-and-potatoes theme in our lineup: Targeting Location. This will allow us to talk about something else while acknowledging Covid-19’s still rampant status.
What do we mean by “Targeting Location?” A central issue for location-based media and commerce, this is the moving target of how to pinpoint and optimize strategies around device location. It includes topics like location-targeted ads, building audience profiles, attribution, paid search, and location data strategies.
The margin for error is thin and every dollar counts. Accuracy and precision are top of mind, as advertisers continue to long for reliable data to make the most strategic decisions in their advertising spending, especially in the digital space.
Advertising technology and localized marketing platforms built their business on the use of GPS signals to provide real-world KPIs like foot traffic attribution, allowing businesses large and small to go beyond the click to reach and engage more precise audiences. And while this technology has certainly improved from its early days, it can only go so far without the introduction of another dimension: z-axis.
Location is a prime indicator of our interests, purchase habits, and daily behaviors. Where we go defines who we are, and in the Covid-19 world, location continues to tell that story, even if the story has changed for many of us as we practice social distancing.
Marketers continue to command vast data sets for campaign targeting. Here are six data sets, powered by location behaviors, that marketers can use to build awareness, generate leads, and drive sales.
GroundTruth’s new Covid-19 Insights tracker gives brands a way to track foot traffic down to the zip code level. The tracker is updated weekly, with the ability to search for daily foot traffic across a number of categories, like auto dealers, banks, restaurants, and retail.
Data comes from the 30 billion annual global visits GroundTruth observes on its platform. The company uses indexed foot traffic to demonstrate the relative increase or decrease in visits to different places of interest, with weekly and daily charts depicting foot traffic indexed against average weekly/daily visits starting from December 30, 2019.
Bringing new dimension (literally) to location data is the field of “3D location.” This essentially takes typical lat/long coordinates and adds a Z-axis. It brings new meaning in the form of elevation, which comes in handy in places like high-rise buildings and shopping malls.
This is where Polaris Wireless hangs its hat. The company uses several inputs like barometric pressure to pinpoint mobile device locations using all three dimensions. This can have many use cases such as helping emergency responders show up to the correct floor of a building.
The location data market has responded to many external pressures in recent years. Guided by new privacy regulations such as GDPR and CCPA as well as operating system updates by Apple and Android, the industry has put the consumer back at the center. The old days of capturing data and selling to ad tech firms without permission are over.
These shifts are good news for society. But they are also good news for the location industry, which has pivoted to thrive in this new world where squeezed supply impacts the quality of location data.
Now, Covid-19 has presented a new challenge, with movement data restricted to unprecedented levels. So, how are location data companies responding to the crisis?
My personal experience getting sick during the pandemic also got me thinking about how easy it is to spread the virus just by moving around and how important it is to abide by government guidance to stay at home or at least limit your movements. As someone who works in the location data industry, I have an appreciation for the mass movement of people, and staying at home and limiting contact with other people is the right thing to do right now.
I also had the chance to think about how location data could be used to help hospitals, governments, and businesses combat the spread of the virus.
Updating your location data management information to reflect new hours, store closures, different contact information or special announcements is important for business success in general. In the midst of the global Covid-19 pandemic, maintaining accurate location data can actually have vital consequences for public health.
Yet a BrandMuscle study found that less than 60% of local business owners had even claimed their online business listings, which can lead to confusion about whether businesses are open or not.
In this episode of Location Weekly, the Location-Based Marketing Association covers Turkish firm Elektral developing vending machine for masks, wipes, and disinfectants; UNL raising $2M for smart address system; Wuhan bringing its famous Cherry Blossoms online; and Israeli startup Noveto bringing “smart audio bubbles” to digital signage. The episode also features a special discussion on using location data to track the virus.
Believe it or not, this is the smartphone’s third decade. When it comes to mobile apps and location-based marketing, so much has changed since the advent of the iPhone in 2007.
While it’s hard to predict what will become of mobile and location-based media in the next 10 years, it’s fair to prognosticate what we can expect for the rest of this year and beyond. Here are four mobile and location trends brand marketers need to watch.
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.
In this episode of Location Weekly, the Location-Based Marketing Association covers the FCC proposing hefty fines on mobile operators for selling location data, Apple turning your photo into a car key, Adidas tapping WhatsApp to reach consumers, KFC Canada integrating Google Maps and Assistant, Uber offering car-top signage for new driver revenue, and JCDecaux leveraging facial recognition for Yoplait in Australia.
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.