Location Insights - Data's Perfect Ally

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Location Insights – Data’s Perfect Ally
Nick Ballard

Data is the word on the lips of every Australian advertiser. At least everybody’s stopped with the ‘Big’ prefix!

I’ve recently attended several meetings with data as the central discussion point. Our clients and partners have been asking how they can enrich their own data with our location expertise and how they can feed data back into their platforms to better find their audience.

Advertisers globally have long tried to make use of their mass of data to help them reach audience segments or target better. At Blis we believe that one of the most effective and recognised ways of leveraging data is through the lens of location insights. These provide brands and media agencies with audience segments based on where people have actually been – a far greater pointer to behaviour than simply sites they’ve visited.

Connecting the dots

Many brands have a good database of first-party data; information that links consumers to their home addresses or provides further demographics – say that they’re 35 and male. But there’s still a lot left to discover.

By adding location insights to the equation, such as data from browsing habits on an IP where they have appeared over the course of the week, we can make much stronger links based on location evidence and start talking to the person on the best device, be it at home or not. With location data, we can apply an additional contextual layer – perhaps our 35-year-old male frequently visits football-related websites and has stopped by three sports stores over the week.

That sports ad will probably resonate well with him. According to the IAB Australia’s recent Mobile Landscape Report, Location and audience segmentation were the top two targeting uses reported by Australian ad agencies and more than 65 percent of the survey’s respondents said they expected to use these targeting methods more in future.

Firing on all cylinders

“Location” and “Proximity (geo-fencing)” might seem synonymous, but Proximity is only one small application of location insights. A better approach is reaching out to your audiences through a combination of methods that best suit the brand.

Proximity – targeting audiences in a specific geographical area – is a good start. Take it a step further and you realise location data can also help build audience groups or segments based on users’ geographical footprint and digital habits. This then allows advertisers to reach out to a specific group – e.g. mothers, C-level professionals, sports lovers, university students and more.

Advertisers can also re-target ads using location data – for instance, someone who visited a car dealership can be sent mobile, tablet and desktop ads at home.

Blis’ Retail Footfall attribution technology adds another layer of analytics – measuring the effectiveness of a mobile ad by identifying how many customers visit a store as a result of seeing it.

Accuracy is key

Having a wealth of data is a great starting point. Being able to process the data in a meaningful way through location insights moves you another step up the ladder. Or down the funnel.

However, one of the most worrying problems the industry faces is the influx of inaccurate location data from ad requests. These can range from mildly inaccurate to almost fraudulent. In tests conducted by Blis, we noted a user’s stated location could vary from the actual location by a hundred kilometers or more in some cases, depending on data (in) accuracy.

Because of that, filtering out bad data is equally as important as collecting ample location data. At Blis, we’ve created a set of patented algorithms and data filtering techniques to verify good data from bad. Our technology regularly eliminates up to 90 per cent of the location data that comes into our platform – because it’s just plain wrong. We only use accurate data.

Data is a deep well; one that will only get deeper. Focusing on location data to optimise campaigns will, without a doubt, give brands the intelligence they need to reach better-targeted audiences and, at the end of the day, build brand value.

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Nick Ballard Nick Ballard is Managing Director, Australia & New Zealand. Nick is an experienced mobile and digital industry leader who has successfully managed regional business operations and client relationships at digital marketing firms in Australia for more than 12 years.
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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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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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3 Ways Retailers Can Use Mobile for Effective One-to-one Marketing

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3 Ways Retailers Can Use Mobile for Effective One-to-one...

Today, mobile devices are like mini retail stores we carry around in our pockets: places where consumers can browse merchandise or place orders almost instantly.

But mobile devices also give consumers something they can’t get in stores: personalized marketing. Collecting data like shopping histories and browsing patterns, mmobile devices provide retailers with detailed insight into individual consumers and a means of communicating with them directly.

How can retailers use mobile insights and capabilities to craft effective, one-to-one messaging?

1. Get personal.

Today, consumers want—and expect—ads to speak directly to them. In fact, 74% of customers feel frustrated when their online experiences aren’t personalized.

The easiest way for retailers to personalize content is by harnessing their first-party data. If a customer purchases a dress online, the brand can use what they know about her (her fashion interests, browsing history and email address) to customize subsequent content. For example, the brand can serve an ad via email that suggests a pair of shoes to go along with the new dress.

With CRM data, the retailer can see what the woman bought online, but do they know what she’s purchased elsewhere? Or what she does when she’s not shopping? This is where location data comes in. Retailers that layer location-based insights on to other sources of data can get to know where and when consumers shop at brick and mortar stores. They can also identify other behavioral patterns, including which day of the week and time of day they like to go shopping—data can enables greater levels of personalization.

Let’s say a CPG brand wants to reach out to a previous customer who hasn’t been seen in store lately. The marketers can use their knowledge of the consumer’s daily commute to deliver the ad just before he leaves work, suggesting he stop by on his way home. They may even offer him a discount on the product he previously purchased.

2. Market to individuals, not devices.

Once retailer marketers have identified their ideal audiences on mobile, they shouldn’t see phones as the only means of communication. Consumers own an average of 3.6 connected devices, so retailers should communicate with consumers across the devices they use, including tablets, laptops, desktops and addressable TV.

However, if a retailer sees a user reading political news on the tablet all day but watching cartoons in the evening, it might not be the same same person. With families and partners sharing devices at home, marketers need to make sure they are constructing nuanced consumer profiles across devices in order to reach out to individuals, not just devices.

3. Don’t be creepy.

Personalized, cross-device marketing is on the rise in part because consumers are increasingly willing to disclose their data to retailers. After all, purchase histories and location data are essential for useful or interesting ads.

But how retailers use that data is key. Consumers want to feel understood, but they don’t want to feel like ads are invasive or drawing on data that’s simply too personal and private. Marketers need to make sure they aren’t crossing any personal boundaries or making consumers feel uncomfortable.

If marketers want to turn heads or, more importantly, turn consumers into buyers, they’ll need to do more than blast out generic ads to the masses. When retailers personalize ads with these three tips, they’ll see huge improvements in campaign performance.

But how, exactly, do they measure these improvements? Find out next week when we assess the best metrics for retailers.

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