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Rapleaf Presentation Final With Audio
- 1. April 11, 2010 Presentation to New York Jets NEW YORK SAN FRANCISCO CHICAGO
- 3. What do we do?
- 4. How do we do it?
- 5. Examples
- 6. Proposal
- 8. Aggregate data available via Facebook, Twitter, Myspace, blogs, etc… to create a detailed consumer database of 375+ million consumers
- 10. 4. Influencers Influencer – The most passionate and vocal customers of a brand or service; act as ambassadors for the company
- 11. 5. The Value of Influencers 20 Immediate Connections Each with 100 connections of their own X Total Referral Value = 2000 Customers
- 13. Data Companies
- 14. Exchanges
- 15. Internal DatabaseWho What Where With Who?
- 16. 7. Solutions
- 17. 8. Case Study – CPG Company Identifies Social Influencers Problem: Leading CPG company is looking to reinvigorate brand’s stale presence through social media. Decide to target “mommy bloggers” with influence on the web. Solution: CPG sent Rapleaf a list of 4M+ customers to analyze their social media usage, with a particular focus on identifying influential Twitters users. Information. CPG engages with “mommy bloggers” in a one month outreach campaign.
- 18. 9. Case Study: Rapleaf Helps Artists Connect With Fans Problem: Fans are increasingly using social networks to interact with musicians, but the artists don’t have a way of learning about their fans or identifying influential ones Solution: Online musician promotion firm integrates Rapleaf’s data into their online platform – enabling musicians to learn about their fan base and whom to target to maximize word-of-mouth marketing efforts
- 19. 10. Proposal 110,000+ Fans 25,000+ Followers
- 21. XML
- 22. CRM
- 26. 13. Contact Us Contact Info: Jeff Richman Sales Associate jeff@rapleaf.com
Hinweis der Redaktion
- First a little background on Rapleaf. We are San Francisco based start-up with a focus on helping companies to best understand their customers and how to maximize the effectiveness of their social media advertising campaigns. We aggregate customer data available via Facebook, Twitter, Myspace, and 40+ other social media websites and then are able to tailor this information to learn more about the online presence of their customers. All in, we have information on more than 375+ million consumer and one of the largest social databases in the world.
- So what is the actual data that Rapleaf combs through the social web for? We break it down into the 4 W’s. Namely, Who are the customer? What is their age, gender, location, occupation, income.What are the customers likes, dislikes, lifestyle, and brand affiliations?Where are these customers? What social media websites do they spend time on?Who are these individuals affiliated with? Is anybody following them? The reach extends into discovering who is in the customers extended network as well.What we are doing here is isolating who the most important fans/customers are.
- So even if this fan only has 20 friends, if each one of his were to have 40 – that is an additional 800 customers being reached for potential ticket sales
- To produce this data we will aggregate from a number of different resources including from partnerships with ad networks, data companies, exchanges, DSP’s, and internal CRM systems. For example, say that image on the right is a sample of the e-mail addresses within the Jets Fanclub internal database – by using the given e-mails, we are then able to search the social web and learn more of their online activity. We are able to do this millions of addresses and then synthesize the data, give a holistic view of 4 W’s, and further present the data however you would request.
- So to get to the point of this presentation - how can the NY Jets use Rapleaf data to their advantage?With the data:The Jets will gain insight into whom their fan base is, where they live, how much money they make, where they interact online, and whom their most influential fans are – This data can then in turn be utilized to run more effective online advertising campaigns – increasing the ROI for each advertising dollar spent.To fully understand the power and potential of this data – let’s look at a few case studies of how companies have leveraged our data in the recent past