Dmitri Application
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Dmitri is an app that provides book recommendations based on a user's interests and matches compatible users for dating. Its goals are to discover independent authors, connect book lovers, and inspire writing. It aims to satisfy the desire to find new reading material and appeals to a hidden market. The MVP would involve manually recommending books to 5-10 people and improving the process based on feedback to see if 5 more people would pay for the service.
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Dmitri Application
- 1. dmitri Book recommendation and dating app
- 2. Overview App description and background Goals, mission, and vision Market analysis 7 Day Start Up analysis: Is the app a good idea? Ad campaign Monetization MVP
- 3. What is dmitri? 1. App Description
- 4. book recommendations with a splash of romance dmitri works by pinpointing user interests to generate book recommendations and to match compatible users. “Making finding your next book easier”
- 5. BackgroundSatisfies the desire of finding reading material Geared toward your personal interests Inspired by the lack of reading platforms available Dmitri appeals to a hidden market yet to emerge Focuses on independent publishers: long tail of book industry A pool of 10 individuals indicated interest in the app and would utilize its services
- 6. iOS Search for books by interest Read and write reviews Connect with others reading the same book
- 9. Mission Statement Our mission is to create an interactive social platform where readers can discover hidden writers, independent writers, and renowned authors. We want to inspire generations to explore their writing abilities to write stories and interact with each other to build relationships.
- 10. VisionDiscover independent authors Interact with other book lovers Share your interests “Foursquare for book lovers” Create a profile to find and chat with matches Create a personal library of books you like
- 11. Services Personalized book recommendations Messaging feature Profile to create library and write reviews
- 12. Competition, customer profile, and competitive advantage 3. Market Analysis
- 13. Competition Goodreads Find new books through personalized book recommendations “Facebook for book lovers” Bookmarq Follow what books Influencers are reading Update their book statuses and create stacks
- 14. Customer Profile18-24 year- old women, college educated Book lovers Interested in or have experienced online dating
- 15. Competitive Advantage “Story DNA” – Books’ metadata Allow users to be specific in their searches Search by interest, not by title and author Connect users with potential matches
- 16. 7 Day Startup Principles: Is the app a good idea? 4. App Details
- 17. IS THE IDEA A GOOD ONE? Eight Elements Comments Scalable Business Model -One simple product offering -Ambition to grow business into larger company An asset you can sell -Attractive asset with sellable potential: Apple bought Book Lamp/Book Genome Project - similar concept Large market potential -Goodreads has over 1 million users Taps into pain differentiators -App solves an existing problem that people are already paying for Unique lead generation advantage -Potential for content marketing Ability to launch quickly -Based on MVP: landing page and manual service
- 20. 5. Ad Campaign
- 23. Monetization A-list (premium) features in the social section • Subscription • Freemium – premium features exclusively for paying customers In app-advertisements
- 25. Minimum Viable Product 1. Find 5-10 people who need a book recommendation 2. Generate book recommendations manually using the same algorithm/procedure that you would automate later 3. If people like the recommendations, do it again and make improvements 5. See if you can get 5 more people to pay you money for the service, or use Facebook Ad How could we test the MVP this weekend?
Editor's Notes
- dmitriapp.instapage.com
- Description of app: executive summary and company description (Gina) Background on app: (Gina) pain points - don’t know where to start when wanting to read a new book and have a specific interest/mood in mind How did the idea arise? What is the need for the app? Is there indication/proof points that people want this? ->concept test Goal and objectives (Tiara) niche market/long tail (independent and lesser-known books) making reading and finding books to read more accessible and easier Market analysis (Sabrina) Competition customer profile Competitive advantage we believe will make our business a success Are there other products that do the same thing? 7 day startup principles: Details about app (Sabrina) Is the app a good idea? (checklist) Facebook ad results Would we use native app or HTML? -> Native -> high functionality and complex algorithm that requires a database. Plus profiles Financial projections (appealing to investor) (Tiara) Partnership with Amazon and Goodreads Future ad campaigns Ad campaign (Sabrina) How to reach consumers with ad campaign? Promotion (ad on Goodreads) -> specific details How would we get funding? ->Crowdsourcing? Monetization (Gina) Subscription to “A-List” features of online dating section -compatibility of interests (Follow Tindr’s premium model - see up to a certain amount of matches before you have to pay) Advertisements in app MVP - market concept test: How to test MVV this weekend? (Sabrina) Ask 5 people for their email and manually (via email) give them book recommendation based off the algorithm of the app
- Satisfies the desire of finding new reading material geared directly toward your personal interests. Inspired by the lack of reading recommendation platforms available for everyday booklovers. Film and music recommendation platforms are plentiful, yet any existing services offering reading suggestions are greatly lacking. Dmitri appeals to a hidden market that has yet to emerge. A pool of 10 individuals indicated interest in the app and would utilize services.
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- screenshot slide
- Targeted males and females 18-35 who are interested in e-books, online dating, or books and had ios and android devices
- Targeted males and females 18-35 who are interested in e-books, online dating, or books and had ios and android devices
- - Amazon advertising program is informed by billions of observed shopping behaviors. -Google adwords: people searching for keywords: book recommendation, reading, datin
- Subscription to “A-List” features of online dating section -compatibility of interests (Follow Tindr’s premium model - see up to a certain amount of matches before you have to pay) Freemium – allow a free trial for the dating section Advertisements in app
- Do the algorithm manually