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What Location Strategies Are Major Brands Using To Make Retail Relevant Again?
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“We’re trying to make it easier for customers to start and stop anywhere,” says Best Buy VP Shari Rossow. “It’s now a basic expectation for how we all shop.”

The challenges of omnichannel retail are well known by major brands and while the situation is largely a “glass half full,” there are signs that marketers’ focus is sharpening when it comes to using location data to shape the way they understand and reach their customers.

That’s the gist of a report by location data provider Blis, which rounded up thoughts by marketing executives at Verizon, Microsoft, Coca-Cola, Best Buy, DSW and Chili’s. It explores the current thinking by retail marketers on how to leverage location data to bolster their marketing strategies.

The report, Transforming Customer Engagement with Location-Based Technologies, finds that brands feeling confident in their ability to employ geo-data to drive foot traffic.

Executives at of DSW and Coca-Cola in particular emphasized location data’s ability to allow for greater personalization and context when communicating with their customers, while Microsoft and Verizon touted location insights as providing the connective tissue among a range of media channels as well as emerging technologies such as artificial intelligence/machine learning, voice-activation and Connected Intelligence, and smart homes/cars.

The bottom line: location is essential to communication between brands and consumers in terms of promoting discovery and engagement.

John Carroll, VP General Manager, E-Commerce, Coca-Cola North America: “It’s important that the linkage between what we’re trying to communicate with our brand to what the consumer is doing contextually is clear. It’s also important that we have the opportunity to really drive an experience online, whether through video, creative banner ads, or creative copy. We want to have a brand-building experience online and to drive purchase closer to the shopper.”

Wade Allen, VP Digital Guest Experience & Analytics, Chili’s (Brinker International): “Considering the way consumers use their mobile phones and the need for immediacy in our society, you can’t help but question whether or not we should shift more money out of television advertising and into the digital world. I don’t know what the right percentage is, but my belief is we can’t follow the 80/20 or 90/10 model anymore. Instead, we need to get closer to a 60/40 or 65/35 model with the smaller amount being digital.”

Shari Rossow, VP Retail Operations, Best Buy: “We’re trying to make it easier for customers to start and stop anywhere. It’s now a basic expectation for how we all shop.”

Beth Rick, Sr. Director, Transformation, DSW Inc.: “If you had every single piece of customer data, you could organically become a part of their lives wherever they are. You would be in the fabric of everything, because you would know where they’re located, what information they’re looking at, how they’re using it, what they’re interested in, what their behaviors are; and at that point in time, we would just try to make shoes part of their life… They would just think about shoes and DSW is the place they would go.”

ShiSh Shridhar, Director, Business Development, Data, Analytics & IoT, Microsoft: Retail Sector: “That physical experience is one aspect of it: digital and physical should complement each other. The other aspect is that there will be a lot more channels embedded into how we buy. There are a lot of capabilities available today through things such as cognitive services and artificial intelligence that are going to be used. For instance, the phone camera becomes a channel. We will be capable of pointing a phone camera at a product such as a pair of shoes someone is wearing, and the phone can identify what those shoes are, show prices at different retailers, and then we can buy with a single click.”

We also checked in with Jamie Crespi, Blis VP Marketing, for her view of the questions posed by the company’s report.

GeoMarketing: What are retailers doing to engage with consumers more effectively in the digital space?

Jamie Crespi: As the findings of the report shows, personalization is top of the retailers’ agenda to get through to consumers across multiple digital touchpoints. It’s important that they use the abundance of data available to them to make their targeting as relevant and interesting as possible, while ensuring they’re serving the right ads on the right devices at the right moment.

This is where location data comes in, as it helps retailers to better understand their customers (and potential customers) and brings the physical and digital worlds ever-closer together. Location data is one of the richest forms of data available for retailers looking to engage with consumers more effectively. It provides brands with contextual insights while allowing them to understand the impact of ads on their consumers behaviors. Brands using location data are able to efficiently target potential customers and drive them in-store.

What is the business value of leveraging location data, and what are the potential risks?

Accurate location data means great message relevancy for brands which leads to a higher likelihood for consumer engagement. At the end of the day, reaching the right consumers with the relevant creative to drive an action is really what it’s all about. Additionally, as our contributors like ShiSh Shridhar of Microsoft and Beth Rick of DSW point out, driving in-store foot traffic is a major bonus to leveraging location data. It’s important to think about location data as an insights and planning tool, not just a means by which to deliver advertisements.

To many, leveraging location data (and leveraging it in a more robust way outside of just geofencing) is still a relatively new concept, but it’s quickly becoming absolutely integral for businesses with brick and mortar locations. Their businesses are reliant on people visiting their stores – for this reason, there’s no reason not to test it.

How will location-based technologies become part of a greater digital strategy?

David Garcia, Director of Experience Innovation at Verizon, makes a really interesting point when he says how exciting the idea of converging location services with other emerging techs such as AI and IoT are.

At Blis, we’ve already started to use machine learning to predict where consumers will go to offer richer insights to brands and allow for better planning. Being able to accurately identify people who we know are either highly likely or definitely going to visit a store is invaluable as it eliminates waste in spend and increases campaign performance; and this is something we can do with the help of AI.

As David puts it, when these things start to click, you’ll see things you couldn’t have imagined. We believe it’s crucial to keep innovating to better understand consumers.

What trends will have the most impact on location-based advertising in 2018 and why?

One of the biggest developments of 2017 has been a shift towards Cost-per-Visit (CPV) models of measurement. We were early adopters back in April, and have begun to charge clients based only on the people that actually visit target locations. The response has been great as it reduces the risk for advertisers who aren’t sure if they’re getting good returns on their investments and puts the onus back on the vendors. We feel this movement will only grow and develop into 2018, as more platforms like ours move away from click-based metrics and towards models which foster more trusting relationships between vendors, agencies and their brands.

What impact will voice activation/intelligent assistants like Alexa, Siri, Okay Google have on the way geo-data is used for marketing and advertising?

This again ties in with David’s point, and it’s certainly going to be exciting to see how these types of technologies will combine. Ever since they’ve come onto the scene, brands have been wondering how best to harness their potential. One of the key benefits of these services, like Siri & Okay Google, being on your handheld devices is that you can use them when you’re out and about. I’d bet that plenty of voice searches are relevant to their location, as you may need to be reactive when looking for a business or service and this is when your intelligent assistant knowing where you are will come in handy. It also gives local businesses new opportunities to pick up customers.

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Partner Spotlight: Q&A with RSi’s Ansa

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Partner Spotlight: Q&A with RSi’s Ansa

Question 1: How long have you been at RSi and what is your role?
For the past three years, I have been responsible for creating and scaling Ansa, a web-based solution from RSi – Retail Solutions, Inc., that has enabled over 75 of the world’s largest CPG companies and their agencies to build, measure and maximize the performance of their shopper marketing campaigns running in support of the nation’s leading retailers. I am responsible for all aspects of business development, partner and agency relationships and the overall revenue growth of Ansa.

Question 2: How does RSi help solve marketer challenges?
Shopper marketers’ biggest challenge is to connect their online campaigns to in-store results. RSi’s Ansa solution provides the intelligence they need, based on daily, store-level POS-data from the largest US retailers in order to plan, target, and measure the impact of their shopper marketing campaigns. Retail Solutions Inc. has partnered with the leading ad networks in Shopper Marketing, such as Blis, to make Ansa’s automated analytics available for the world’s largest CPG companies and their agencies. To measure and maximize their digital ad campaigns, all they need to do is ask for Ansa inside their next campaign.

Question 3: What benefits does the partnership with Blis bring to buyers as well as the adtech ecosystem?
With RSi’s Ansa solution, building, dynamically optimizing, and reviewing attribution measures for every digital ad campaign has never been so simple. Here is how it works:
1. STORE-LEVEL TARGETING: automatically get from Ansa your store targeting data as store addresses, lat/longs or by Ansa Digital ZIPs to identify stores with the greatest sales potential prior to launching hyper-local media.
2. IN-FLIGHT OPTIMIZATION: see in real-time how sales are trending in your targeted stores vs. a 52-week historical average, and get access to dynamic optimization lists that can guide budget reallocation.
3. MEASUREMENT & INSIGHTS: get access via the online portal to end of campaign analysis just days after the media campaign is over. Visualizations give you a standardized set of analytics, such as sales lift, incremental dollars and units, confidence level, weekly lift, characteristics of high performing stores, etc. Prove and improve your media to help you fine-tune strategies for your future campaigns.

Question 4: What are use cases for the Blis + RSi partnership? (Please provide a few examples from different verticals).
If you are a shopper marketer, maximizing your budgets, understanding performance of your marketing tactics and generating key learnings from those marketing tactics are tasks that are essential to your business.

Running a digital marketing campaign with Blis, and Ansa’s daily, store-level sales intelligence helps make that extremely for the CPG community and shopper marketers specifically.

For existing products, Blis campaigns using Ansa targeting can reach a targeting efficiency of 2:1 vs. campaigns that do not use Ansa store-level targeting thereby ensuring that every dollar is spent driving sales to your most important retailer locations.

Blis campaigns optimized with Ansa typically identify and heavy up investment around 16% of stores that are trending significantly ahead of the average store during a campaign and identify and decrease investment around 14% of stores that are trending significantly behind the average store, therefore ensuring that your budget is being optimized surrounding stores that are over-performing during a given campaign.

After each Blis campaign, Ansa automatically generates measurement of Featured Item Lift and Halo Item Lift at both the total event and week levels. Results are completed 5 business days after the end of each campaign and allow you to learn quickly and improve continuously, all at an amazingly affordable price.

Question 5: What shopper marketing measurement trends do you predict for 2018?
Optimization in-flight based on store sales trends during campaign. Optimizing on engagement, intent and / or clicks may be ok for some campaigns but more and more frequently shopper marketers are tasked with driving sales at their most important retailers. And understanding how their marketing tactics performed 5-6 weeks after a campaign has finished is just not fast enough anymore in today’s fast paced world and puts media providers at a severe disadvantage. By utilizing automated reporting that allows Ansa partners like Blis to understand and optimize their media in-flight based on daily, store-level POS sales data you now empower your media partner to act on supporting the stores that are driving your product sales which can ultimately provide a powerful boost to a shopper marketing campaign.

Question 6: If there was one piece of content you think every marketer should read, what is it?
(Other than this blog post of course!)

Think with Google and Facebook IQ are two fantastic sources of resources. Articles, trends, case studies, POVs, insights, etc… pretty much everything you need to read to keep you up-to-speed in this very fast-paced environment.

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Meet, Greet and Keep: How Mobile Can Help Brands Throughout the Sales Funnel

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Meet, Greet and Keep: How Mobile Can Help Brands...

Our mobile devices give us more than just a way to call or text friends and family: Today, they are our maps, books, radios, and miniature shopping malls. We turn to them for news, entertainment and answers. And from dawn till dusk, we keep them at our sides like our most faithful companions.

So it’s no wonder mobile devices have become integral to an advertiser’s ability to reach their ideal audiences at every stage of the sales funnel. Here’s how brands can employ effective mobile advertising strategies to acquire, engage and retain customers.

Win Over New Customers

One of the best ways for advertisers to identify new audiences is to see where they shop. But without access to a competitor’s first-party purchase data or information about their website traffic, how can advertisers find this out?

Mobile devices provide the answer. By revealing where consumers go, mobile location data can tell brands which consumers spend their time browsing similar products at a competitor’s store. Let’s say Target wants to reach out to consumers who usually shop at Walmart. They can use location data to identify—then target—those who frequently visit the competitor yet still live near a Target store.

But brands need to be careful before jumping to conclusions about consumers. Real-time location data provides important insights, but they can be strengthened when paired with historical location data.

For example, just because someone visits a high-end boutique like Chanel, it doesn’t mean that person has the budget to shop there—they could just be browsing. How can an upscale fashion brand find out which of those Chanel visitors are actually potential shoppers? Here, historical location data can help. It can reveal, for instance, which of those visitors go to private airports a few times a month or regularly visit Giorgio Armani or Versace stores. Chances are, these consumers will be a better bet for the fashion brand seeking to acquire new customers.

Keep Them Interested

What’s the first thing you do when you wake up in the morning? For most of us, it’s look at our phones to turn off our alarms before checking the weather and scrolling through our Twitter feeds. And throughout the day, we continue to stare down into the faces of our mobile devices: checking the news on the train, sending an email between meetings, or watching videos from our living room sofas.

In order to engage consumers on the devices we use day in and day out, advertisers will need to serve ads that make sense for the consumer depending on where they are during the day. To do this, advertisers must first ask the question: What do consumers want to see on their mobile devices and when? Consumers spend a third of their time online watching videos, for instance, but they aren’t going to watch a 30-second video ad while walking down the street.

To boost engagement, brands can use knowledge about a consumer’s historical and real-time whereabouts to reach out at the time and place that will produce the greatest level of engagement. To effectively grab the attention of a consumer that’s out and about, a banner ad may work best. Later that evening, when the consumer is at home using a tablet or laptop, a longer video on a larger screen may work well.

Inspire Loyalty

How can brands make sure they retain the new and existing customers they’ve worked so hard to gain? They must first recognize and show appreciation for their most loyal customers.

Most advertisers identify loyal customers by looking at newsletter subscriptions and online purchase histories, but they may be missing other valuable customers who prefer to shop in stores. By identifying devices that frequently visit a brand’s store location, advertisers can make sure they are recognizing—and thanking—all their biggest fans. When an existing customer comes into a store a certain number of times, for example, advertisers can deliver a thank-you message—perhaps offering the loyal customer a generous coupon to redeem in-store.

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Retailers’ Golden Ticket to Reviving Brick and Mortar Stores

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Retailers’ Golden Ticket to Reviving Brick and Mortar Stores

Interested in understanding how to connect mobile experiences to physical stores? Or how mobile can be the extension of a retailer’s store? Maybe you’ve wondered about the new Cost-Per-Visit metric? Look no further. Blis’ location data experts will be answering these questions on a weekly basis over the next few months in our ‘Retail Series’ which aims to equip retail marketers with the right insights and top tips to stay ahead of the game.

Following its decision to buy e-commerce company Jet.com last year, Walmart recently agreed to acquire Bonobos, a retailer with a strong online presence and generous shipping policies. If these moves weren’t sign enough that the physical and digital retail worlds are merging, Amazon’s acquisition of Whole Foods is the ultimate wake-up call.

Retailers everywhere are realizing that while brick and mortar stores are still critical, they’ll need a strong digital strategy to keep them filled with happy customers. Mobile devices are retailers’ golden ticket to connecting with consumers and reviving in-store shopping.

Understanding Consumers though Mobile

Whether they are going to work or going shopping, consumers carry their phones with them wherever they go. As a result, mobile devices provide retailers with a constant stream of valuable consumer insights. GPS and Wi-Fi data can tell retailers, for instance, whether a consumer is at a desktop at work, connected to Wi-Fi at home, or walking past a retailer’s store.

Beyond real-time location data, retailers can use historical location data to understand a consumer’s habits. For example, some consumers might visit a luxury jewelry brand on Fifth Avenue just to browse, even if they have no intention (or monetary means!) of buying. Thus, for that specific retailer, in-store visits may not indicate ideal customers. Instead, that luxury retailer can look at historical location data to identify their ideal consumers: perhaps individuals who frequently stay at the Four Seasons Hotel or regularly check in to exclusive country clubs.

But retailers shouldn’t rely on mobile data alone. By layering mobile insights with other valuable sources of data, advertisers can gain a holistic picture of their perfect audiences. Data collected from laptops, for instance, can reveal browsing histories and online shopping patterns; however, consumers won’t be opening up their laptops while shopping in stores. The trick is for retailers to match the data across devices to unique mobile device IDs. Only then will they gain a more holistic understanding of consumers and will be able to target or retarget them with products they are likely to go buy.

Driving Foot Traffic Creatively

Once they’ve gotten a clear and thorough understanding of their ideal audiences, how can retailers use mobile devices to drive foot traffic? Proximity targeting—delivering ads to consumers when they come within a certain distance of a store location—is a common approach. Retailers can maximize the power of proximity targeting by crafting unique and imaginative creatives.

For instance, advertisers can deliver ads to shoppers already in the area to tell them about an in-store sale, or offer them a coupon they can only redeem in person. Retailers can also deliver ads that feature a handy map telling consumers how to find their store.

Sometimes, targeting consumers when they are walking by a store may be a little too late. A QSR wanting to boost its 10 am breakfast crowd, for instance, may want to target consumers when they wake up around 7a and begin planning their day. Otherwise, the consumer has most likely already made their breakfast choice.

While there is no one-size-fits-all solution for retailers looking to connect with consumers and drive in-store sales, a strong mobile strategy is key. As the digital and physical worlds continue to blend, retailers must harness the insights and capabilities of mobile to reach their unique brand objectives.

Tune in next week to read all about how mobile is fast becoming the extension of a retailer’s store.

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