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Uncensored Everpix metrics, financials and business data for your perusing
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External Metrics
Google Consumer Surveys
Internal Metrics
Investor Reports
Presentation Slides
Product Videos
Public Feedback
_graphs
.gitignore
Anonymized VC Feedback.md
Financials.md
Online Paid Customer Acquisition Test Results.pdf
Press Coverage.csv
README.md
Timeline & Numbers.md

README.md

About Everpix

Everpix was started in 2011 with the goal of solving the Photo Mess, an increasingly real pain point in people's life photo collections, through ambitious engineering and user experience. Our startup was angel and VC funded with $2.3M raised over its lifetime.

After 2 years of research and product development, and although having a very enthusiastic user base of early adopters combined with strong PR momentum, we didn't succeed in raising our Series A in the highly competitive VC funding market. Unable to continue operating our business, we had to announce our upcoming shutdown on November 5th, 2013.

High-Level Metrics

At the time of its shutdown announcement, the Everpix platform had 50,000 signed up users (including 7,000 subscribers) with 400 millions photos imported, while generating subscription sales of $40,000 / month during the last 3 months (i.e. enough money to cover variable costs, but not the fixed costs of the business).

The following high-level metrics are from September 2012, when we started selling subscriptions, to October 2013, the last month before our shutdown announcement:

Users

Photos

Subscribers

Sales

AWS

Retention

Retained users: users who used the Web, iOS, Mac, Windows Everpix apps or opened a Flashback email.

Complete Dataset

Building a startup is about taking on a challenge and working countless hours on solving it. Most startups do not make it but rarely do they reveal the story behind, leaving their users often frustrated. Because we wanted the Everpix community to understand some of the dynamics in the startup world and why we had to come to such a painful ending, we worked closely with a reporter from The Verge who chronicled our last couple weeks. The resulting article generated extensive coverage and also some healthy discussions around some of our high-level metrics and financials. There was a lot more internal data we wanted to share but it wasn't the right time or place.

With the Everpix shutdown behind us, we had the chance to put together a significant dataset of hundreds of files covering all aspects of our business. We hope this rare and uncensored inside look at the internals of a startup will benefit the startup community.

Here are some example of common startup questions this dataset helps answering:

  • What are investment terms for consecutive convertible notes and an equity seed round? What does the end cap table look like? (see here)
  • How does a Silicon Valley startup spend its raised money during 2 years? (see here)
  • What does a VC pitch deck look like? (see here)
  • What kinds of reasons do VCs give when they pass? (see here)
  • What are the open rate and click rate of transactional and marketing emails? (see here)
  • What web traffic do various news websites generate? (see here and here)
  • What are the conversion rate from product landing page to sign up for new visitors? (see here)
  • How fast do people purchase a subscription after signing up to a freemium service? (see here and here)
  • Which countries have higher suscription rates? (see here and here)
  • What frustrates people the most abour their photo collection? (see here)
  • Do people actually edit their digital photos? (see here)
  • What would it take to acquire customers through online ads in such a business? (see here)
  • How much price sensitive are consumers for such online services i.e. what's the price elasticity? (see here)

The dataset is organized as follow:

The metrics in the dataset were "frozen" as of November 6th, 2013 (the day following the announcement of Everpix's shutdown) and represent more than 90% of all available Everpix metrics. Only metrics covered by NDAs with partners or metrics exposing identifiable Everpix users information have been omitted.

To maximize reusability, metrics are formatted as CSV files (using UTF-8 text encoding) and with the first row being the column names.

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