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SalesStash Berkeley 2016
This document summarizes the journey of SalesStash, a startup developing tools to help sales teams. It describes: 1) Their initial focus on automating slide creation which they learned did not address the biggest pain points. 2) After customer interviews, they pivoted to a content management tool that matches sales decks with third-party content using machine learning. 3) The document outlines their plans to disrupt the market research industry in three phases, growing revenue from $1M to $10M by focusing on the biggest pain points of sales teams.
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SalesStash Berkeley 2016
- 1. Josh Tobin CS PhDstudent Frank Ong CS PhD student Martin Maas CS PhD student Patrick Castles EWMBA student Business development, partnerships, sales & marketing Engineering & product Engineering & machine learning infrastructure Business development, product, & machine learning infrastructure Helping sales teams find and deploy their best content https://www.youtube.com/ watch?v=DGLSfxmSkwM
- 2. PART I How wegot here
- 3. BearSketch Make professional-quality graphicsin seconds using the most natural user interface: hand-drawn sketches We all have to start from somewhere… Customer archetype Mid 20s – mid 30s management consultant working as a Business Analyst or Associate at a large firm. Value proposition Eliminate the work required for slide creation, allowing consultants to focus on higher value activities. Reduce the need for outsourcing. Key Technologies: Machine Learning, Computer
- 4. SalesStash BearSketch Helping salesteams find and deploy their best content in seconds using machine learning Make professional-quality graphics in seconds using the most natural user interface: hand-drawn sketches …But how did we make it here? Customer archetype Mid 20s – mid 30s account executive / sales rep at a mid-large size technology company w/ a non-SaaS product Mid 20s – mid 30s management consultant working as a Business Analyst or Associate at a large firm. Value proposition Improve the effectiveness of your sales force by making it easy to leverage the best content you are already creating Eliminate the work required for slide creation, allowing consultants to focus on higher value activities. Reduce the need for outsourcing. • 100 interviews • 10+ mentor interactions • 5 MVPs Key Technology: Machine Learning
- 5. Some themes ofthe things we learned Timesaving alone may not be a great value proposition Go where the money is A great product is not always a great business Focus on the biggest pain point
- 6. An overview ofour journey Close to the money Far from the money Minor pain point Biggest pain point 1 Sketches to slides 2 Automated slide cleanup 3 Automated slide design 4 Automated slide design 5 Deep content management Targeting sales teams Targeting consultants
- 7. An overview ofour journey Close to the money Far from the money Minor pain point Biggest pain point 1 Sketches to slides 2 Automated slide cleanup 3 Automated slide design 4 Automated slide design 5 Deep content management Targeting sales teams Targeting consultants
- 8. What we thought… • Consultantssketch slides first • Converting sketches to slides is slow & painful • Consulting companies use outsourcing providers for this • Consulting companies would pay to save consultants’ time 1
- 9. 1Initial business modelcanvas Reduce time spent on low- level activities Higher quality than manual design Lower cost than outsourcing Analysts at big consulting firms Analysts at financial services companies? Self support Individual vs. enterprise sales? Monthly license fees vs. per task/job? Premium features? What R&D? Customer Development Training Data R&D, Data, Cloud resources Starting from what we thought Some completely open questions But keeping an open mind…
- 10. 1Sketches to slides– MVP
- 11. … What we learned •Many different processes – not all sketch Consultants sketch slides first • Converting sketches is usually quick (except a few complex examples) Converting sketches to slides is slow & painful • Not all consulting companies outsource Consulting companies use outsourcing providers • Consultants thought we were solving the wrong problem! Consulting companies would pay to save consultants’ time 1
- 12. Conclusion A great product doesnot make a great business! 1
- 13. An overview ofour journey Close to the money Far from the money Minor pain point Biggest pain point 1 Sketches to slides 2 Automated slide cleanup 3 Automated slide design 4 Automated slide design 5 Deep content management Targeting sales teams Targeting consultants
- 14. What we thought… • Slidecleanup is a universal part of the slide creation process • Cleanup is necessary, but low value-add, painful and time consuming • Consultants will love this product and snatch it out of our hands 2
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- 16. … What we learned •People thought this was nice to have, but wouldn’t change the way they work Consultants will love this product and snatch it out of our hands 2 “If I had this and it worked well, obviously I would use it, but it feels more like an add-on to me” -Addie Bidder, Former Project Team Leader at BCG
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- 18. An overview ofour journey Close to the money Far from the money Minor pain point Biggest pain point 1 Sketches to slides 2 Automated slide cleanup 3 Automated slide design 4 Automated slide design 5 Deep content management Targeting sales teams Targeting consultants
- 19. What we thought… • Ifwe allow customers to create designs that are infeasible to create themselves, they will value our product more highly • Consulting companies will invest heavily to make their teams more efficient 3
- 20. Automated slide design– MVP 3
- 21. … What we learned •Most firms would not pay enough to make this a large market Consulting companies will invest heavily to make their teams more efficient 3 “This is great, I would love to use it! But I’m not sure how much our firm would care – formatting doesn't really matter” -Dan Baldini Former Consultant at Deloitte
- 22. We may alsohave some competition 3 BearSketch Google Docs Explore Released Sep 29, 2016 Auto-design slides, charts, pull in content from the web Powerpoint Designer Released Sep 26, 2016 Auto-design slides NEW!
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- 24. An overview ofour journey Close to the money Far from the money Minor pain point Biggest pain point 1 Sketches to slides 2 Automated slide cleanup 3 Automated slide design 4 Automated slide design 5 Deep content management Targeting sales teams Targeting consultants
- 25. What we thought… • Salespeoplewill have more or less the same pain points • They will have a higher bar for good design • Since more money is riding on each deck, sales teams will be more willing to pay for tools to help 4
- 26. … What we learned •Salespeople have bigger problems! Salespeople will have more or less the same pain points 4 “If you built this, I would use it, but it wouldn’t change how I do my job. If you solve my other problem it would” -Mac Conn, Enterprise Account Exec at DoubleDutch
- 27. 4 Conclusion Focus on the biggestpain point!
- 28. An overview ofour journey Close to the money Far from the money Minor pain point Biggest pain point 1 Sketches to slides 2 Automated slide cleanup 3 Automated slide design 4 Automated slide design 5 Deep content management Targeting sales teams Targeting consultants
- 29. What we thought… • Thebiggest pain point for many inside sales teams in tech is access to and management of internal collateral • By matching sales decks with 3rd party content, we can add value to both • We can get around the issues with existing solutions using machine learning 5
- 30. Deep content management– MVP 5
- 31. … What we learned 5 “Ifthis can really do what you say it does, I could take it to my Chief Revenue Officer right now.” -Ross Biestman, VP of U.S. Sales at Lithium
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- 33. The vision forSalesStash is to disrupt the market research industry Phase 1 2017 - 2018 Phase 2 2018 - 2019 Phase 3 2020+ Sales enablement through deep content management Insights marketplace – matching sales teams with the best 3rd party content AI-generated market research, leveraging our unique dataset (i.e., knowledge of what research people need) $600M TAM ~$4B TAM $40B+ TAM
- 34. 2017 2018 20192020 Operat- ing plan $0M $1M $10M Product Proof of concept Sales Features Deep content management Insights marketplace AI-gen. research Initial customer 20-30 additional customers Build out sales org. Market research partners 100+ customers Content search Tool integration Content scoring 3rd party integration AI-gen. research We will raise money to fund each phase Angel 600k Seed 1.1M Series A 3.5M Series B 10M
- 35. Outbound Sales Advertising Sales Blogs, Word of mouth Customer Trials Addingfeatures Vendor lock-in through ecosystem Upsell to premium features (auto-design, additional data sources, slide ratings) We plan to use a freemium model Get Keep Grow
- 36. Early hypotheses suggestCLTV/CAC ~15 Lead conversion Variable costs Cost / lead % Leads paid Lead stage Pipeline stage Trial stage CAC Premium product 8.5 60% 10% 33% 40% 386.36 Enterprise product 25 100% 10% 33% 40% 1,893.94 3rd party content 100 100% 25% 50% 20% 4,000.00 CLTV Price/unit Average deal size Churn Discount Commission CLTV 600 3 2% 10% 10% 6,075 2,400 12 2% 10% 10% 97,200 100 0.25 / customer / month ** ** ** **
- 37. BearSketch People.ai Sales presentation toolsis a crowded space, but this need is not well-addressed
- 38. Final business modelcanvas Speed up content cre- ation by re- using existing material Record and predict effectiveness of material Sales & Marketing Professionals Get: Outbound Sales Monthly license fee Premium features: auto- design, content IP (ML/CV) Customer Development Training Data R&D, Data, Cloud resources Direct Sales to Enterprise R&D (ML, Integration) Marketing intelligence firms (Phase II) Sales Bloggers CRM Providers (coin operated) Insurance, legal, HR/Admin, recruiting, etc. Some parts of the canvas changed completely Other decisions were remarkably similar and our interviews helped us pick the right option
- 39. Our product landingpage goes live today www.salesstash.com