Across Industries, the 3 Major Use Cases of Big Data
-YPlan, SXSW and COTA
For many big firms, Big Data, it started finding its way into the daily lives of the people to make it more simpler and easier.
During this year, there are plenty of platforms, where we use big data after collecting and then funneling it through programs mainly to increase ads and which is truly remarkable by 2010 standards. Here are like three of your clients turned Big Data in to, ROI.
1. YPlan - It leads to how Big Data Drives App Downloads
The mobile app needed to be able to aggregate and analyze first, second and third - party data in conjunction with behavioral data including GPS location data. In addition, the app works best when multiple friends within a group use the same app, so that makes the ability to find target lookalike audiences which matches very specific and unique traits of already existing customers was a high priority.
And the solution is, Drive app downloads more consistently using intelligence gathered via second-party data, including brand affinities, friend circles and geolocation information.Using Big Data, YPlan surpassed 30,000 app downloads at an average of 20% below the maximum threshold of $4.
And the solution is, Drive app downloads more consistently using intelligence gathered via second-party data, including brand affinities, friend circles and geolocation information.Using Big Data, YPlan surpassed 30,000 app downloads at an average of 20% below the maximum threshold of $4.
2. SXSW - It leads to how Big Data Drives Better Sponsors
SXSW has grown immensely over the past few years and while the conference can collect information on attendees who buy badges, it has been very difficult to collect information on those RSVPing and attending SXSW parties, especially as different party hosts use different platforms to send out their RSVP forms. The proper Big Data platform, though, can easily solve this issue and SXSW employed one as a tech partner in order to unify their disparate attendee data points using a 3-step activation app.
Through this app, it has collected like more than 56,000 attendee data points for those who attending unofficial parties and the festival, is currently using data visualizations to understand which brands resonate most with audience members, and plan on pulling them in as sponsors.
Through this app, it has collected like more than 56,000 attendee data points for those who attending unofficial parties and the festival, is currently using data visualizations to understand which brands resonate most with audience members, and plan on pulling them in as sponsors.
Also, in the past, it has gotten some slack from various publications for being too brand focused. In fact, most “free” events involve some sort of brand social media promotion in order to gain access. Here the goal isn’t to eliminate brand presence. Instead, the main goal is to bring in more relevant brands by analyzing every attendees’ brand affinities via collected second-party data.
Also, in the past, it has gotten some slack from various publications for being too brand focused. In fact, most “free” events involve some sort of brand social media promotion in order to gain access. Here the goal isn’t to eliminate brand presence. Instead, the main goal is to bring in more relevant brands by analyzing every attendees’ brand affinities via collected second-party data.
“One of the richest areas of Big Data is the brand segments, in terms of what other brands this audience is engaging with. We plan to use that data going forward to target additional sponsors and other clients to match with this group of people. All of that can really be summed up as creating a better experience for SXSW attendees,”
-by Scott Wilcox, Director of Technology, SXSW.
3. COTA - It leads to how Big Data Drives Ticket Sales
After a five year break, the F1 USGP announced it was bringing the race to Austin, Texas in 2012. Press conference and excitement around the returning event created buzz and free marketing that ensured a sold out event with little planned marketing efforts.
However, in its second year, the 2013 F1 USGP had lost some of the novelty of the previous year and COTA faced new marketing challenges. With 40 days left before the kickoff of the 2013 race, COTA turned their focus to collecting and utilizing their audience data, looking to boost ticket sales during the final hours.
Using a 3-step Big Data activator, COTA collected audience data on fans who purchased, interactively visualizing for the COTA team the brand affinities, locations, ages and technology preferences of their fans. From there, a multi-platform ad campaign went into motion, with the goal being tickets sold, not merely click-throughs.
Using a 3-step Big Data activator, COTA collected audience data on fans who purchased, interactively visualizing for the COTA team the brand affinities, locations, ages and technology preferences of their fans. From there, a multi-platform ad campaign went into motion, with the goal being tickets sold, not merely click-throughs.
On the final day, Big Data drove 50% of all COTA ticket sales, resulting in 6 times ROI. Better yet, brand awareness reached thousands of new potential fans, with 80% of website traffic during the last 40 days being pushed from ad campaigns utilizing Big Data.
On the final day, Big Data drove 50% of all COTA ticket sales, resulting in 6 times ROI. Better yet, brand awareness reached thousands of new potential fans, with 80% of website traffic during the last 40 days being pushed from ad campaigns utilizing Big Data.
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