“Where do we go eat tonight?”“What’s open?”“I’m new here, but everything looks closed”“Yelp said this restaurant was open ...
…We’ve All Been ThereAbout 75% of those surveyed across the US have experienced that problem<br />
Easily find what’s open late near youEnhanced accuracy of listingsSimple one-click functionality<br />
Existing Solutions<br />What did you do when you had trouble locating a place?<br />“Either gave up or tried calling a bun...
Addresses Critical Pain Points<br />Limitations of Existing Providers<br />
Let’s Take a Look…<br />
Simplicity and Accuracy<br />Active Verification<br />Passive Verification<br />User Participation rewarded with “Badges” ...
Business Model Evolution<br />Revenue Model<br />Cost Structure<br />
Team<br />
Questions?<br />
Appendix<br />Gaming / Rewards System (Slide 13)<br />Strong Initial User / Vendor Feedback (Slide 14)<br />Distribution a...
Reward System<br />AfterPM’s Reward System and Active User Verification create a sustainable ecosystem by achieving greate...
Strong Initial Feedback<br />User Feedback<br />Vendor Interviews<br />“After pm is a pretty cool concept!! definitely hel...
“Sounds like a great idea, customers tell us we’re one of the only places open late night” – Hana Sushi
“Corporate would take a definite appeal to that” – Extreme Pizza Folsom
“It’s a good idea, right now people maybe use the internet” – La Perla Pizza</li></li></ul><li>User Review of Features<br ...
Verticals of Interest<br />To begin with Food & Drink		…To move to other verticals later<br />
Distribution Plan<br />App Store Distribution Techniques<br />Viral / Social Outreach to Target Market<br />Initial focus ...
Revenue Model Detail<br />The AfterPMteam plans to add additional revenue streams at each stage as the application gains c...
Generate additional margin and vendor awareness with limited sales activity by leveraging partner networks
Potential partners include: OpenTable, Groupon, Yipit
Establish advertising relationships directly with vendors
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AfterPM | Find what's open after hours

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AfterPM is a mobile application that allows you to find stores and rest

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AfterPM | Find what's open after hours

  1. 1.
  2. 2. “Where do we go eat tonight?”“What’s open?”“I’m new here, but everything looks closed”“Yelp said this restaurant was open but they lied!”We take the frustration out of late night cravings.<br />
  3. 3. …We’ve All Been ThereAbout 75% of those surveyed across the US have experienced that problem<br />
  4. 4. Easily find what’s open late near youEnhanced accuracy of listingsSimple one-click functionality<br />
  5. 5. Existing Solutions<br />What did you do when you had trouble locating a place?<br />“Either gave up or tried calling a bunch of places”<br />“Using Yelp with their pathetic filtering feature which never gives me the right result on the basis of time”<br />“Driving around aimlessly”<br />
  6. 6. Addresses Critical Pain Points<br />Limitations of Existing Providers<br />
  7. 7. Let’s Take a Look…<br />
  8. 8. Simplicity and Accuracy<br />Active Verification<br />Passive Verification<br />User Participation rewarded with “Badges” based on behavioral patterns<br />Leveraging existing data from Foursquare, Yelp, and Google Places for baseline data and ongoing automatic check-in and check-outs<br />SuperGeek<br />Vampire<br />Insomniac<br />
  9. 9. Business Model Evolution<br />Revenue Model<br />Cost Structure<br />
  10. 10. Team<br />
  11. 11. Questions?<br />
  12. 12. Appendix<br />Gaming / Rewards System (Slide 13)<br />Strong Initial User / Vendor Feedback (Slide 14)<br />Distribution and Business Model Detail (Slide 17)<br />Back-End Data Population (Slide 22)<br />
  13. 13. Reward System<br />AfterPM’s Reward System and Active User Verification create a sustainable ecosystem by achieving greater accuracy and rewarding beneficial behavior<br />vE<br />Discounts and reward badges <br />Deals* and ad revenue for sponsor position<br />Vendors<br />Users<br />Active verification of hours of operation<br />Incremental foot traffic and intelligent customer data<br />*Note: Deals engine achieved through strategic partnerships (OpenTable, Groupon, Yipit, etc.)<br />
  14. 14. Strong Initial Feedback<br />User Feedback<br />Vendor Interviews<br />“After pm is a pretty cool concept!! definitely helpful after a late night out” – Based in Boston<br />“I’ve always needed an app like this!” – MV<br />“Would be pretty sweet in SF” – Based in SF<br />“Cool idea…cause so few things are open late in SF” – Based in NYC<br /><ul><li>“I think it would be very helpful because people don't know that we're open late” – Ahn Sushi & Soju
  15. 15. “Sounds like a great idea, customers tell us we’re one of the only places open late night” – Hana Sushi
  16. 16. “Corporate would take a definite appeal to that” – Extreme Pizza Folsom
  17. 17. “It’s a good idea, right now people maybe use the internet” – La Perla Pizza</li></li></ul><li>User Review of Features<br />98% of surveyed users are looking for data on location/proximity of restaurants open late<br />
  18. 18. Verticals of Interest<br />To begin with Food & Drink …To move to other verticals later<br />
  19. 19. Distribution Plan<br />App Store Distribution Techniques<br />Viral / Social Outreach to Target Market<br />Initial focus on niche market (young adults / graduates)<br />
  20. 20. Revenue Model Detail<br />The AfterPMteam plans to add additional revenue streams at each stage as the application gains concrete market validation <br />In-app display ads to cover basic startup costs<br />Vendor bidding for preferred “sponsored link”<br />Initiate conversations with large chain vendors and strategic partners<br />Focus on growing user base and getting traction<br /><ul><li>With demonstrated user traction, establish revenue share / royalty relationship with strategic partners
  21. 21. Generate additional margin and vendor awareness with limited sales activity by leveraging partner networks
  22. 22. Potential partners include: OpenTable, Groupon, Yipit
  23. 23. Establish advertising relationships directly with vendors
  24. 24. Monetize data stream to create operating leverage
  25. 25. Provide subscription data service to vendors with insight on customer dining/purchase preferences</li></li></ul><li>Business Model Detail<br />Revenue Model<br />In-app display ads<br />Offer bidding for “sponsored link”<br /><ul><li>Revenue share / royalty agreements with strategic partners
  26. 26. Monetize data stream to create operating leverage</li></ul>Cost Structure<br /><ul><li>Co-founders only
  27. 27. Focus on growing user base
  28. 28. Gradually establish sales team after significant user traction
  29. 29. Streamline costs to manage for growth</li></li></ul><li>Automatic Check-In System<br />AfterPMis constructed to be easy-to-use with minimal input required of the user<br />Initial rollout is manual check-in<br />With validated back-end, will shift to auto check-ins and check-outs<br />Auto Check-In<br />Users no longer fumble around and click a button (requires about 5 clicks)<br />AfterPMtracks arrival & departure from a venue with high location-based accuracy (1 click)<br />Integrated into Rewards System<br />Length-based rewards for Users to drive valuable behavior<br />Valuable customer activity data for Vendors to understand positioning in late night dining/activity market<br />Feeds long-term data strategy with powerful database to drive intelligent suggestions/recommendations<br />
  30. 30. SWOT Analysis<br /><ul><li>Well-rounded team with relevant relationships and experience
  31. 31. Satisfies key customer pain points through gamification (accuracy, simplicity)
  32. 32. First mover advantage in niche market
  33. 33. Low initial capital investment to launch (iOS, Windows Mobile, Website currently available)
  34. 34. Quick validation of user adoption
  35. 35. Significant time to scale with meaningful data and partner relationships
  36. 36. Health-conscious trend may reduce late night dining
  37. 37. Requires salesforce to for expansion and vendor engagement
  38. 38. Some users may feel current Yelp or Google Maps functionality is sufficient</li></ul>Strengths<br />Weaknesses<br /><ul><li>Users have consistently verified through survey data and in-person interviews that this is a service they would like
  39. 39. Strong alliances exist to provide revenue share and vendor access with relatively low startup cost
  40. 40. Groupon Affiliate Program, Yipit, etc.
  41. 41. OpenTable Affiliate Program
  42. 42. Potential acquisition target with strong technology
  43. 43. Large competitors including Yelp, GoogleMaps, etc.
  44. 44. Low barriers of entry to replicate before sufficient branding
  45. 45. Revenue dependent on strategic partnerships
  46. 46. Highly saturated app market may be difficult for new entrants</li></ul>Threats<br />Opportunities<br />
  47. 47. Initial Data Population<br /><ul><li>Existing data will be leveraged with Yelp to provide a location database
  48. 48. FourSquare APIs
  49. 49. Venues API
  50. 50. Mapping services (free)
  51. 51. Google Places
  52. 52. The gaming element then provides continuous input to refresh for accuracy
  53. 53. A cornerstone of our data processing is respecting the rules of our partners
  54. 54. Our approach is well currently well within the acceptable use policies of intended data partners
  55. 55. We use caching & elaborate models within the terms of our data partners to adhere to their policies and limits
  56. 56. Our service takes gradual approach to build relationships with our data partners, and exploits the services they offer in most appropriate of our own data</li></li></ul><li>Passive Verification<br />Leverage Existing Data<br /><ul><li>Backend uses checkin data from data partners like Foursquare, Yelp, and Google Places, combined with our statistical processing to determine venues that are open with a high confidence level
  57. 57. These will provide foundation of our geo-spatial-temporal engine
  58. 58. We will participate in 4Square-motivated venue harmonization process
  59. 59. Venue harmonization gives unique ID to venues that are consistent across differ databases and services. It enables collaboration to share information data
  60. 60. We don't store partner data except to cache & limit the rates we use their APIs
  61. 61. We store harmonized venue IDs with our checkin data and partner real-time checkin counts (where allowed, using real-time counts of checkins from google and 4square) to validate open and closing times. We incorporate checkins and false positives in our own application to continually improve the accurate of our own data</li></ul>The Technology<br />

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