Blis | New Collaborations to Improve Measurement of In-Store Sales

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New Collaborations to Improve Measurement of In-Store Sales
Jamie Crespi

Shopper marketers everywhere are quickly realizing that if they want their digital advertising efforts to lead to greater foot traffic and in-store sales, location data is key.

In fact, spending on location-based advertising is expected to grow by 24 percent per year, reaching $29.5 billion in 2020. But in order to reap the benefits of location-based advertising, brands should couple their location data with other advanced audience data and analytics capabilities.

This is exactly why Blis has recently teamed up with four leading data and analytics companies. By collaborating with Oracle Data Cloud, RSi’s Ansa, IRI and PushSpring, Blis is enabling its clients to reach hyper-targeted audience segments and improve sales attribution. “These strategic relationships will provide our clients with a wealth of opportunities to maximize ROI,” said Gil Larsen, VP Americas at Blis.

Oracle Data Cloud

Oracle Data Cloud creates advanced audience segments using purchase-based data plus lifestyle, online behavioral, demo and more across 91 percent of U.S. households. This enables Blis’ clients to target category and brand buyers at scale, with relevant messages, to minimize waste. That same data can also be used to help measure how effectively campaigns are reaching those buyers.

Blis’ recent campaign with a major household soap brand provides a prime example. Wanting to increase sales at Kroger, the brand began by identifying its ideal audience: women ages 25 to 45 who had been previously seen at Kroger stores and parent-centric locations such as elementary schools. With Oracle Data Cloud, the soap brand segmented their ideal audience further by identifying which of those women had previously purchased the soap brands’ products. By serving ads to this specific subset of consumers when they approached a Target store, the brand saw higher engagement and conversation rates.

Ansa powered by RSi

RSi’s Ansa analytics solution enables Blis CPG customers to measure and maximize the performance of their shopper marketing campaigns running in support of the nation’s leading retailers. Ansa provides the intelligence they need in order to automatically plan, target, and measure the impact of Blis shopper marketing campaigns, based on their daily, store-level POS-data.

“We are very excited about this new partnership with Blis, the global pioneer in advanced, innovative location data solutions. In the extremely fast paced shopper marketing environment, the partnership between Blis and Ansa will help advertisers connect with consumers on their devices in real-time even more efficiently and effectively” shares Michael Quinn, General Manager for Ansa at Retail Solutions Inc.

IRI

IRI provides point of sale data enabling brands to measure in-store sales uplift as a result of digital media campaigns. ​This new partnership is empowering Blis’ clients to improve attribution and make informed targeting decisions.

What might this look like in reality? First, IRi identifies stores where a brand’s sales are underperforming compared to other products in the same category. Next, Blis identifies—and targets—devices near these underperforming stores that match the brand’s target audience. ​These tactics will help brands maximize sales uplift and ROI.

PushSpring

“By creating different audiences based on which apps consumers own, PushSpring is helping brands find and reach a more accurate audience,” said Brandon Zirkle, PushSpring VP. A sports brand looking to reach out to fitness enthusiasts, for example, may target individuals who own workout apps to track their running patterns and calories. Similarly, a person who owns Jet.com’s shopping app may be someone who likes buying low-cost, wholesale items. A brand looking to drive in-store sales may benefit from a campaign designed to get her to visit a nearby Walmart.

By merging the powerful capabilities of these third-party companies with Blis’ advanced location data and technology, these partnerships are helping shopper marketers across North America craft hyper-targeted and highly effective campaigns.

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Jamie Crespi is VP, Americas Marketing. She is responsible for leading the US marketing efforts by providing creative market planning and execution that maps to the sales and product strategy. She is responsible for all client and prospect marketing communication in North America and working hand in hand with the US sales team to drive revenue. She has over a decade of experience working in marketing and advertising as well as an extensive adtech background.

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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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