After 7+ Years, inMarket Location Data Hits Programmatic Trading Desks Today

August 1, 2017 / by Dave Heinzinger posted in location, inmarket, data, big data, programmatic

At inMarket, we've harnessed the power of location data in advertising since 2010. From our early in-store campaigns to the sophisticated, online-to-offline programs we run today, one thing has remained consistent: We've always managed those campaigns in-house.

But the demand for accuracy in programmatic has become too great. Today, we're extending our hyper-accurate Audiences segmenting product to programmatic trading desks. Brands and agencies can now access our walled garden of first-party location data previously only accessible via high-ROI managed campaigns.

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Audiences will provide trading desks with unprecedented accuracy via our location database, which uses full cycle GPS, WiFi and the world’s largest beacon platform in a waterfall to continually validate data points. Opt-in consumer location data paired with our vast point-of-interest marketing platform reveals consumers’ journeys between POIs -- while personas derived from machine learning across billions of consumers data points make targeting more precise than ever.

Audiences also enables new first party location precision that dramatically reduces crossover contamination in dense markets -- for example, when a laundromat is next store to a restaurant. This unlocks superior targeting for brands. The same first party dataset enables inMarket to predict major business trends across America -- like customer loyalty -- via inMarket inSights.

If you're interested in learning more about inMarket Audiences, contact us today.

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Bloomberg: Loyalty an Issue for Shake Shack, according to inMarket Location Data

June 22, 2017 / by Dave Heinzinger posted in location, inmarket, adtech, location data, restaurants, data, shake shack, loyalty, customer loyalty, retention, bloomberg, news, inmarket insights, insights

Location data can help us predict business trends -- and sometimes, those trends are quite surprising. This week, Bloomberg has featured inMarket location data in its story about customer loyalty at rapidly growing Shake Shack. 

"As Shake Shack Inc. expands across the U.S. from its New York home base, it’s missing a key ingredient: customer loyalty....

Though the upscale burger chain has more prestige than rivals like Subway and Chick-fil-A, its higher prices may be preventing customers from ordering as often."

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You can read their full story here, or download the full  Loyalty Report for Restaurants at inmarket.com/insights.

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Join inMarket at the Street Fight Summit This Week! 

June 13, 2017 / by Dave Heinzinger posted in location, inmarket, advertising, adtech, data, research, street fight summit

Are you heading to the Street Fight Summit in Brooklyn this week? If so, swing by the inMarket booth and say hello. We'll be talking about how mobile location is powering best-in-class digital advertising for offline brands; and how that same data can be used to predict business and market trends.

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Can't make it out to Brooklyn? Drop us a note anytime at inmaket.com/contact.

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CNBC: inMarket Location Data Predicts Retail Closures 

June 12, 2017 / by Dave Heinzinger posted in mobile, in-store, retail, apps, social, location, mobile, advertising, data, cnbc, nine west, retail closures

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The latest inMarket inSights report on Retail Loyalty was featured by CNBC last week. Here's a quick synopsis:

Retail store closings are on track to hit a record high this year with retailers from department stores Sears, Macy's and J.C. Penney to specialty players like BeBe and Rue21 and footwear retailers Crocs and Payless shuttering locations.

It begs the question, who's next?

New data from inMarket's spring loyalty report suggest Nine West may be the next to close stores or lay off employees.

Check out the full story here. If you're interested in downloading the full Retail Loyalty report, you can get it at inMarket inSights.

 

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Ranking Retailers from Top to Bottom on Customer Loyalty; inMarket Utilizes its Industry Leading Location Data to Project Growth and Closures

June 7, 2017 / by Dave Heinzinger posted in location, mobile, in-store, retail, advertising, location data, data, trends

Customer loyalty is vital to business health. Today, thanks to mobile location data, we can quantify customer loyalty and its impact on a business. In this report, we’re looking specifically at the retail industry, where each week it seems like there’s another round of mass store closures. But despite the “retail-pocolypse,” there are a few retailers that are expanding and thriving. What do they have in common? Loyal customers.

In our latest inSights report, we identify the top 10 and bottom 10 retailers for customer loyalty, based on inMarket location data. This first in a series of reports across brick and mortar verticals uses mobile location data from spring 2017 to identify customer loyalty at major U.S. retailers. The full report is available today at www.inmarket.com/insights. 

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The findings from inMarket’s Spring 2017 data show a clear correlation between low customer loyalty and announcements of store closings, while high-loyalty retailers are actually expanding in the face of the predicted “retail apocalypse.” Thus far in 2017, five out of the top 10 retailers for customer loyalty have announced store expansions. Contrarily, eight out of the bottom 10 retailers for customer loyalty are either closing stores, laying off employees or freezing growth in 2017. 

inMarket uses machine learning in order to analyze billions of data points and paint a picture of consumer behavior’s influence on business. This retail loyalty ranking is based on inMarket location data from over 50 million anonymous consumers -- focusing specifically on repeat device visitation as an indicator of customer engagement, loyalty and retention.  

In addition to predicting market trends, inMarket uses location data to power its suite of industry-leading ad products such as its Lapsed Shopper Program -- which launched in March as an equalizer for brick and mortar retail against e-commerce. Retailers are recovering over 40% of their lapsed shoppers with the program, which capitalizes on store visit data the same way online retailers uses web visit data to retarget shoppers. 

For more information on these rankings or to find out your business's loyalty score, contact us today. 

 

 

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Where did Cleveland + Oakland/San Francisco watch the NBA Finals Last Night? 

June 2, 2017 / by Dave Heinzinger posted in location, adtech, restaurants, data, bars, machine learning, NBA, NBA Finals, Golden State Warriors, Cleveland Cavaliers, Cavs, Warriors

At inMarket, we use mobile location data to predict business trends. This data also helps us understand how consumers are reacting to specific events -- for instance, the NBA Finals. 

Last night, we measured foot traffic across hundreds of bars and restaurants in Cleveland, Oakland and San Francisco as the Cleveland Cavaliers and Golden State Warriors tipped off Game 1 of the NBA Finals. Golden State may have won the first game, but the local businesses are the real winners when their respective teams make the finals. 

Here are the top bars based on foot traffic for each city during Game 1: 

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For more location-based insights like these, please visit inMarket inSights or contact us today

 

 

 

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eMarketer Features inMarket Research on Millennial Shopping Habits 

May 23, 2017 / by Dave Heinzinger posted in location, mobile, retail, inmarket, adtech, foot traffic, data, millennials, emarketer, research, grocery

eMarketer -- the leader in e-business data + research -- has featured inMarket's latest inSights report on generational shopping trends. We've included an excerpt below, and encourage you to check out the full story here

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According to InMarket's new "Foot Traffic Power Rankings," millennials show a distinct preference for discount options when it comes to brick-and-mortar shopping.

The rankings are based on analysis of foot traffic to physical stores, using mobile location data from January through April 2017. Rankings are determined by frequency of visits compared with the category average for each generation. 

For the general retail category, the top three brands were discount purveyors of apparel. The No. 1 brand was Ross Stores, followed by privately held Rainbow and then Burlington Stores. Bridal chain DaVinci and home-furnishing giant Ikea rounded out the list.

You can download the full report over at inmarket.com/insights 

 

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Tech.Co Ranks inMarket Among LA's "Startups To Watch Out For"

May 22, 2017 / by Dave Heinzinger posted in location, mobile, inmarket, adtech, data, los angeles, venice beach, silicon beach

Tech.Co, a publication that celerates tech, entrepreneurism and creativity, has ranked inMarket as one of Los Angeles' "22 Startups to Watch Out For." 

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According to Tech.Co, "While the Bay Area hold the title of most prolific startup ecosystem, there’s no denying that California is a veritable gold mine of entrepreneurial talent. Los Angeles, for one, is not only brimming with innovative ideas, it’s also home to a wide range of unique startups that are solving the problems of the world."

Check out the full story here

 

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From Gen Z to Boomers: Ranking Businesses' Generational Reach with Mobile Location Data

May 17, 2017 / by Dave Heinzinger posted in mobile, in-store, retail, apps, social, location, advertising, adtech, qsr, data, generations, gen x, gen z, millennials, baby boomers

Which QSR is a Gen Z magnet? Where do Boomers get their groceries? Are millennials the most frugal generation? 

These are questions we're often asked by top brands and retailers who turn to location data for an inside look at consumer behavior. Many of these partners have spent the past decade trying to figure out millennials -- those tricky digital natives who make up the majority of the current 18-35 demographic. Today, focus is shifting to Generation Z -- those born after 1995 -- who will surpass millennials as the largest generation by 2020. 

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Luckily, location data has unlocked a better understanding of all generations, as consumer behavior shifts to mobile-first among all age groups. 

With that in mind, we're releasing our first report analyzing the offline shopping habits of Gen Z, Millennials, Gen X and Boomers, and ranking top businesses based on their generational reach within each group. The report is based on mobile location data from 50 million monthly, active, opted-in consumers across 700+ apps in the inMarket platform.

You can access the full report here -- and feel free to contact us with any questions.

 

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How To Use Location To Power Smarter Mobile Moments

April 20, 2017 / by Dave Heinzinger posted in mobile, in-store, retail, apps, social, location, location-based advertising, in-store, adtech, location data, data, mobile marketing

As marketers, we’re always looking for ways to keep up with rapidly evolving consumer behavior. Social, mobile and location have created new windows into the most important moments in a shopper’s purchase cycle.

But as soon as you have the game figured out, the rules change.

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This is particularly true for social, where the largest players have focused on monetization strategies and are charging for what used to be free. Facebook is probably the best-known example: throttling organic reach for business pages while charging to promote content to the page’s earned audience. The result? Diminishing returns for advertisers in a crowded newsfeed.

But these challenges create opportunities, and the savviest marketers are exploring new, tech-forward ways to influence shoppers when it matters most. Location has matured to become arguably the most important piece of the mobile marketing puzzle. It’s no longer an innovation concept — it’s a critical marketing ingredient.

At inMarket, we help brands lift sales through cutting-edge location strategy. Here are a few exciting ways that we’ve seen marketers use location to create smarter mobile moments:

Augment Customers’ Reality

Pokemon Go, the summer’s biggest mobile fad, leaves us with a few key takeaways, the biggest being that the masses are willing to seek out great location-based content. In Pokemon Go’s case, it was the hunt for special characters, plus a healthy dose of nostalgia, that appealed to users. 

Augmented reality content, particularly with an air of exclusivity, is here to stay. Snapchat is a great example, having developed a geofilter product that bridges the online/offline worlds, providing specialized content based on where you are. The magic in these geofilters is that, by nature, you literally have to be there.

Marketers should ask themselves a few questions before jumping into location-based AR. How can it help the customer or improve their experience? Is the content designed for a smaller, more loyal audience within a brand’s app, or for a wider audience via third-party apps? Does it necessitate the micro-location of beacons, or can it be triggered by wider geofences?

Answering these questions upfront will help you wow shoppers while deploying the most effective AR strategy for your brand.

Hit The In-Store Bullseye

“Location” is a big word, and it often doesn’t say what we need it to. Location targeting shoppers in New York is distinctly different than location targeting shoppers when they walk into Rite Aid. And yet they’re often lumped together, creating confusion for everyone.

If we think about location targeting like a concentric circle (i.e. a dartboard), we can understand how different technologies get us closer to the bullseye. We might use IP data to geotarget people on a wide scale. This works well if you’re a footwear brand advertising snow boots in New York and flip flops in Florida.

Closer to the center, we might use geofencing to create a virtual boundary around a particular retailer. For example, if you walk by a department store in New York, you could receive a personalized ad for snow boots.

But most brands want to hit the bullseye. That’s where we rely on cutting-edge technology like beacons, where IOT infrastructure creates the most precise targeting available to influence in-store decisions. Beacons allow marketers to trigger contextual experiences through an app on a shopper’s phone at the exact moment the shopper walks into a store or an aisle within that store.

When you’re this close to the end of the funnel, you want to remind shoppers why they’ve come so far. Great content examples include using a fashion app to deliver key design details about a brand of snow boots, or showcasing someone wearing the boots on a key Instagram account.

When you combine bullseye targeting with hyper-relevant content, the conversation gets really exciting. We expect the award-winning mobile campaigns of 2017 to incorporate bullseye targeting with exclusive AR experiences.

Target By Actual Need

Demographics have always been used to guide targeting. But the places people go are a better indicator of who they are and what they need. Today, we can aggregate location data to understand consumer patterns and determine actual need versus likelihood of need.

For example, a major car manufacturer might target men ages 34 to 45. They might even geotarget “men 34 to 45 in northeast cities” with region-specific creative. But they have no way of knowing who in that audience actually needs a new car.

What if they could target people who have been to an auto repair shop multiple times that month? Or better yet, to a car dealership? Both of these behaviors better indicate that the shopper is a hot lead, as opposed to any demographic qualifier.

Today, targeting by need is a practical concept. Location companies have already put the infrastructure in place to accurately understand individual consumer trends, creating a tremendous opportunity for impactful mobile moments. 

Predict Shopper Cycles

If we can tell when shoppers actually need a product based on their location history, you can look at those visits over time to determine their purchase cycle and when they’re “due” for a store visit. For example, if data indicates you grocery shop every Thursday, you’re more receptive to brand messaging on Wednesday when you’re actively planning to go, versus Friday after you’ve already shopped.

Modern targeting will focus on shoppers who “pre-qualify” themselves through offline behaviors and location visits. In other words, the data point of “Joe went to a car dealership” is just as actionable from a marketer’s standpoint as if Joe had searched for “new cars” online.

We’re at an exciting point in the evolution of mobile location where real, sophisticated campaigns are resonating positively with consumers at scale. Reaching shoppers when they’re most receptive to brand messaging is paying off for marketers in the form of foot traffic and sales. The next 18 months will provide fast-moving marketers with an opportunity to own the mobile/location ecosystem while the competition plays catch-up.

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