In July, Steve was able to participate in the ‘Leveraging Data to Monetize Wearables and Drive Consumer Engagement’ panel at the IoT Influencers Summit: The Business Case for the Internet of Things. At this panel, Steve was joined by Jon Potter, President of Applications Developers Alliance, Gundeep Hora, Manager of Business Development and Partnerships at The Weather Channel and Shobeir Shobeiri, Business Development at Pebble.
The key to success for all of the companies involved in the panel is to make peoples’ lives better; whether that’s by letting people be more organized with a smartwatch by Pebble, having weather reports on the go via The Weather Channel App or aiding businesses and their marketing with human data via Strap.
Strap enables you to access offline human data. Today, brands and stores are able to find all the data consumers provide online, such as what they buy, what they search and even what they post on social media. What brands don’t know is what time someone went to bed, how they slept, or that they don’t use their car very often. The key is, “You are what you do.”
With this human data, you would know who didn’t sleep well over the past week and you will be able to advertise your new product that will help consumers sleep better.
Strap sees itself as a critical piece to understand what people are doing and how they are doing it. With human data, you can also provide rewards to you consumers. For example, for every 50,000 steps a consumer takes, you could send them an offer for either a free box of Kind Bars or 30 extra fuel points. The rewards a consumer use help you understand what they want; if they don’t drive to work- they won’t use the fuel points. In the end it’s a win-win situation for the brand or retailer and the consumer. All this information is the missing data that you need to better understand your consumers and by bringing in this data, you can personalize your marketing programs.
Strap ensures that consumers’ identity and privacy are secure. Strap will never know the identity behind the data processed.