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  • Push or Pull Mobile Coupons?

    - by David Dorf
    Mobile phones allow consumers to receive coupons in context, which increases their relevance and therefore redemption rates. Using your current location, you can get coupons that can be redeemed nearby for the things you want now. Receiving a coupon for something you wanted last week or something you might buy next month just isn't as valuable. I previously talked about Placecast and their concept of pushing offers to mobile phones that transgress "geo-fences" around points of interest, like store locations. This push model is an automatic reminder there are good deals just up ahead. This model works well in dense cities where people walk, but I question how effective it will be in the suburbs where people are driving. McDonald's recently ran a campaign in Finland where they pushed offers to GPS devices when cars neared their restaurants. Amazingly, they achieved a 7% click-through rate. But 8coupons.com sees things differently. They prefer the pull model that requires customers to initiate a search for nearby coupons, and they've done some studies to better understand what "nearby" means. It turns out that there are concentric search circles that emanate from your home and work. From inner to outer, people search for food, drink, shopping, and entertainment. Intuitively, that feels about right. So the question is, do consumers prefer the push or pull model for offers? No doubt the market is big enough for both. These days its not good enough to just know who your customers are -- you also need to know where they are so you can catch them in the right moment. According to Borrell Associates, redemption rates of mobile coupons are 10x that of traditional mail and newspaper coupons. One thing is for sure; assuming 85% of consumers regularly spend money within 5 miles of home and work, location-based coupons make tons of sense.

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  • Mobile Shopping Alerts

    - by David Dorf
    Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} It’s been popular to offer coupons when people check-in to a store, because you’re catching them at the best possible time – they’re presumably in a shopping state-of-mind, and they’re at your store.  But wouldn’t it be even better to catch the people walking by your store and entice them to visit?  That’s the concept of geo-fences.  When people enter a geographic zone, they are sent a relevant text message alerting them about something nearby. I wrote about Placecast doing this for The North Face, noting that the messages were a unique combination of both offers and useful information about outdoor activities. After creating a program with European carrier O2, Placecast recently entered into an agreement to provide similar services to AT&T customers.  The ShopAlerts program allows AT&T customers in Chicago, Los Angeles, New York City, and San Francisco opt-in to receive these messages.  The program will be expanded nationwide as early as this summer. It’s a much better model for customers (and Placecast) to sign-up once with the carrier instead of each individual retailer, but I hope the messages aren’t restricted to advertising.  I really the like the idea of providing other information, such as nearby special events, races, and perhaps even things to avoid like construction.

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  • 5 Ways to Determine Mobile Location

    - by David Dorf
    In my previous post, I mentioned the importance of determining the location of a consumer using their mobile phone.  Retailers can track anonymous mobile phones to determine traffic patterns both inside and outside their stores.  And with consumers' permission, retailers can send location-aware offers to mobile phones; for example, a coupon for cereal as you walk down that aisle.  When paying with Square, your location is matched with the transaction.  So there are lots of reasons for retailers to want to know the location of their customers.  But how is it done? I thought I'd dive a little deeper on that topic and consider the approaches to determining location. 1. Tower Triangulation By comparing the relative signal strength from multiple antenna towers, a general location of a phone can be roughly determined to an accuracy of 200-1000 meters.  The more towers involved, the more accurate the location. 2. GPS Using Global Positioning Satellites is more accurate than using cell towers, but it takes longer to find the satellites, it uses more battery, and it won't well indoors.  For geo-fencing applications, like those provided by Placecast and Digby, cell towers are often used to determine if the consumer is nearing a "fence" then switches to GPS to determine the actual crossing of the fence. 3. WiFi Triangulation WiFi triangulation is usually more accurate than using towers just because there are so many more WiFi access points (i.e. radios in routers) around. The position of each WiFi AP needs to be recorded in a database and used in the calculations, which is what Skyhook has been doing since 2008.  Another advantage to this method is that works well indoors, although it usually requires additional WiFi beacons to get the accuracy down to 5-10 meters.  Companies like ZuluTime, Aisle411, and PointInside have been perfecting this approach for retailers like Meijer, Walgreens, and HomeDepot. Keep in mind that a mobile phone doesn't have to connect to the WiFi network in order for it to be located.  The WiFi radio in the phone only needs to be on.  Even when not connected, WiFi radios talk to each other to prepare for a possible connection. 4. Hybrid Approaches Naturally the most accurate approach is to combine the approaches described above.  The more available data points, the greater the accuracy.  Companies like ShopKick like to add in acoustic triangulation using the phone's microphone, and NearBuy can use video analytics to increase accuracy. 5. Magnetic Fields The latest approach, and this one is really new, takes a page from the animal kingdom.  As you've probably learned from guys like Marlin Perkins, some animals use the Earth's magnetic fields to navigate.  By recording magnetic variations within a store, then matching those readings with ones from a consumer's phone, location can be accurately determined.  At least that's the approach IndoorAtlas is taking, and the science seems to bear out.  It works well indoors, and doesn't require retailers to purchase any additional hardware.  Keep an eye on this one.

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