Archive for June, 2013

Mobile Apps Will Rock Your Analytics World

Mobile apps will rock your marketing and your marketing analytics world.  If they haven’t done so already or are not in process — you are behind. And, if you are behind, unfortunately you are not alone. I have talked before about assertively creating your own intelligent anlytics leadership opportunities. I have talked about actively influencing your data streams and not just being a passive recipient. Mobile apps drive active management and enable you to create rich opportunities. However, the opportunity only comes when the apps are used and when they are coded in a way to collect not only direct but indirect data.

In a recent article I was quoted about how to develop an impactful mobile app.

“The app must provide value. It must link with other apps … It needs to be social and it should be gamified … So the first thing marketers need to do is develop and deploy custom, linked, value-providing apps.”

via The mobile phenomenon: How to stand out – Mobile Marketer – Strategy.

In addition to building your own app, which gives you the greatest degree of flexibility and interaction, you will increasingly be able to take advantage of location-based app platforms — like the recently released Facebook Home. These kinds of apps will limit your flexibility, but probably give you much better access to non- or infrequent customers giving you a fresh customer acquisition channel among those who would not have your app.

So, where is your organization? Do you have an app? How well is it being used or shared? How well is it targeted? Was it developed with a data strategy in mind? How are you using the data that it generates? Have you linked it to other data streams? What solutions are you producing from it? What value do you add through the data it generates? Have you looked for other location-based app platforms you can leverage?

Answer these questions well and you are ahead of the game. If not, use them to guide your location-based app strategy, development,  or refinement.

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Optimize for Action: How to Drive Value in MR and Analytics Consulting

Are you optimizing? If not, start … now. Most research and analytics efforts fall short because they don’t go the extra step from descriptive to prescriptive results.  This presentation I gave at the 2013 MRA Insights and Strategies conference a couple of weeks ago focuses on this message.

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11 Big Data No Brainers in QSR — “Quick Serve Restaurants”

In addition to quick service, QSR has quick data and a lot of it. They also have the advantage of frequent interactions with customers and with the same customer. This adds up to a huge Big Data opportunity. However, many QSR companies are not very analytically oriented or they have complicating franchisee relationships to navigate for investment in data systems and analytics. The article linked below comes, in part, from an interview I had with John Morell — who was very interested in exploring the role of Big Data in QSR. He is finding that Big Data best practices and applications, while being applied well in pockets, still has a lot of opportunity in QSR.

McDonalds is exploring social media in greater depth. Dominos wowed the pizza ordering world with their online information system that lets users track pizza making progress. Taco Bell is working wonders operationally with their inventory management systems. Even given these pockets of application, few, yet, are harnessing the power of the data they have at their fingertips. What can they do?

Here is a quick list of “No Brainer” ideas. They are “No Brainers” because not because they are obvious nor because they are simple. They will all lead to increased revenues and generate a high ROI both in the short and long term if approached right.

  • Start or deepen loyalty programs and combine with social, apps and gamification elements to generate rich data — so much opportunity here to create value
  • Organize individual level purchase data and combine with digital, social and media information for rich data — the basis for real time interaction with customers
  • Combine unit performance data trade-area geo-demo-psycho information, social, individual level purchase and loyalty data — for much more effective targeting
  • Correctly attribute sales to online, digital and offline activities and tie this attribution to the individual level for more powerful cross-channel integration
  • Build recommendation systems for promotion customization, loyalty deepening, word of mouth generation, online ordering, in-person prompting
  • Optimize inventory systems to decrease costs and increase quality
  • Customize local menu options for increased sales
  • Track and respond to customer service issues before they become big issues — by area; curate your brand
  • Optimize your online and offline media spending and efforts for better ROI and increased sales

And there are many more Big Data opportunities and priorities. When considering Big Data investment, especially for QSR, here are a few guidelines:

  1. Always include short term (1-3 month) wins that can be used to generate momentum
  2. Define win in terms of ROI or even direct impact on stakeholder decisions or KPIs
  3. Put in place a larger vision and plan that can motivate deep emotional commitment and advocacy

The key is to start down the path and begin to gain experience and get your head in the game. Folks who keep putting it off, at this point, are at risk of just being in a different league of success than their competitors who are trying to play in this arena.  While these are not quite “No Brainers” by some definitions, they should be if they were on your radar.

Restaurants Activate Big Data to Leverage Customer Dining Data | QSR magazine.

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