This document discusses pivoting a personal library product to a product library focused on online shopping. It identifies the target customer segment as upwardly mobile young professionals who spend $2-10k annually on discretionary online purchases. Potential revenue streams for a product library include affiliate fees from retailers, subscriptions, advertising, and fees from developers and marketers. Next steps discussed include testing features and revenue models with MVP landing pages and experiments like a Chrome add-in for comparison shopping.

1. PERSONAL LIBRARIES WEEK 7 Revenue Model & Pivot Reference Library Product Library

2. Week 6 Canvas

3. Week 7 Canvas Upwardly mobile young professionals making $2-10K of discretionary online purchases a year (excluding travel) FB/TW posts from users you know Company blog, FB, TW accounts Discover online goods recommended by friends at the lowest possible price from trusted vendors FB/TW posts from cartpop users you know Bloggers and Media targeting customer segment Retail marketing partners IE/FF/Chrome teams Affiliate Program Providers Affiliate program SEO/SEM/SM IE/FF/Chrome App Stores Developers Marketers Affiliate program fees Licensing Subscription fees Ad revenue AWS Infrastructure SEM Eng & Marketing OpEx

4. Week 6 Teaching Team Feedback What category are you in? Do you need to pivot? If so, where to? How can you test these different categories instead of refining your existing software solution? Do you need to setup simple landing pages for other ideas, e.g., document management? Pivoting this late can be really hard

5. Week 7 Canvas Upwardly mobile young professionals making $2-10K of discretionary online purchases a year (excluding travel) FB/TW posts from users you know Company blog, FB, TW accounts Discover online goods recommended by friends at the lowest possible price from trusted vendors FB/TW posts from cartpop users you know Bloggers and Media targeting customer segment Retail marketing partners IE/FF/Chrome teams Affiliate Program Providers Affiliate program SEO/SEM/SM IE/FF/Chrome App Stores Developers Marketers Affiliate program fees Licensing Subscription fees Ad revenue AWS Infrastructure SEM Eng & Marketing OpEx

6. Week 7 Canvas Upwardly mobile young professionals making $2-10K of discretionary online purchases a year (excluding travel) FB/TW posts from users you know Company blog, FB, TW accounts Discover online goods recommended by friends at the lowest possible price from trusted vendors FB/TW posts from cartpop users you know Bloggers and Media targeting customer segment Retail marketing partners IE/FF/Chrome teams Affiliate Program Providers Affiliate program SEO/SEM/SM IE/FF/Chrome App Stores Developers Marketers Affiliate program fees Licensing Subscription fees Ad revenue AWS Infrastructure SEM Eng & Marketing OpEx

7. Key Decisions Complete “Paper Libraries” campaigns Since it’s a going concern, continue E245 course assignments (revenue model, financial model, etc.) with Peaya Pivot E245 project to “Product Libraries” Like Peaya, users lookup, organize, annotate, and share their product information. New concepts include automated comparison shopping and appraisals of used items. Drop other investigations Document management and verticals (legal, pharmaceutical) aren’t panning out—too many competitors, too much complexity, we have little expertise, advantage or passion

8. Personal Libraries

9. Peaya conservatively priced Below niche competitors, above generalists 2K users 0.4K active last week 0.008K paid users (0.4%) 0.005 new users / day revenue ~ 0.05K / month 7M users 2.6M active users last month 0.25M paid users (~3%) 22K new users / day revenue >1M / month

11. Reference chart vs. competitors

12. Next steps: Follow-up to generate reviews

13. Posting to Forums manually is easy, but time consuming Epernicus Academia.edu ResearchGate

15. 200x conversion (to 10%)

16. 3x price increase

18. 4-10 hours in app

20. 0.02-0.05% CTR

24. Hates tedious work

25. Identifies as influencer for tech products

29. Identify/Credit Card Theft

31. Friend adding

33. Double-digit growth projected

35. Largest comparison shopping sites (~20M UVs) target men 25-34 Usage is widespread Fragmentation may suggest a lack of differentiation Men, 25-34-year-olds, and higher earners (more than $75K) are heavy users

37. Facebook and video growing in influence

39. Facebook and video growing in influence

42. 5-7% in electronics (Amazon)

44. $0.7 APRU for women’s furnishings

48. Values celebrity trends and friends’ opinions

49. Wants to buy high ticket items at lowest price

51. Differentiation: Discover online goods recommended by friends at the lowest possible price from unspammy vendors

52. Evidence: Price recommendations, social features

53. Cost: Free to user

54. Effort: Download an install, initially requires chrome

56. Experiment 1: Comparison Shopping Add-in for Chrome http://wantio.com

57. Thank you

58. Significant value in online distribution for e-commerce