Back to Case Studies

    Popsa uses Rittman Analytics for clear views of marketing and finance analytics

    Popsa
    Industry: eCommerce, Mobile Apps, Machine Learning, Printing

    Technologies Used

    AWS AthenaAWS Athena
    LookerLooker
    FivetranFivetran
    "Rittman Analytics gave us that end-to-end view of customer acquisition cost, revenue and channel effectiveness"
    Tom Cohen
    Tom Cohen
    CTO, Popsa

    Vital Stats

    Industry:eCommerce, Mobile Apps, Machine Learning, Printing
    Company size:25 - 50 employees
    Headquarters:London, UK

    Rittman Analytics Services

    • Data Strategy
    • Data Centralisation
    • Data Analytics

    The Download

    Popsa's mission is to bring customisable goods to a new audience using the latest technology and the best user experience. Using machine learning technology that puts together the most appropriate photobook layout in just a few tenths of a second, Popsa's mobile app does the hard work so that their customers can focus on the finishing touches.

    Seeking Data Agile and Insights

    Growth in the business and increasing bottlenecks in providing data to the business had led Popsa to invest in Looker Data Platform as their analytics platform, and now they were looking for a partner to implement Looker and a financial data lake using Amazon Athena, a serverless, interactive query service that queries and analyses data in Amazon S3 using standard SQL.

    With Christmas fast approaching and Popsa's engineering resource at a premium, Wire delivered an initial set of Finance reports by connecting Looker directly to Popsa's Amazon Athena data lake and leveraged pre-built LookML finance data models from Rittman Analytics for fast project time-to-value.

    Over subsequent delivery sprints, Rittman Analytics then extended the solution to include marketing and advertising spend, giving Popsa's team an end-to-end view of customer acquisition cost, revenue and channel effectiveness ready in time for their busiest trading period of the year.

    Popsa product showcase

    Key Outcomes

    • End-to-end view of customer acquisition cost
    • Clear revenue and channel effectiveness insights
    • Fast time-to-value with pre-built LookML models
    • Ready for peak trading period

    Ready to Get Clear Views of Your Marketing and Finance Data?

    Let's discuss how we can help you build a unified view of your customer acquisition costs, revenue, and channel effectiveness.

    How it starts

    From first call to first insight

    1

    Discovery call: 30 minutes

    We listen, ask the awkward questions, and tell you whether we can help.

    2

    Discovery & strategy sprint: 2-4 weeks

    We map your stack, model the business questions, and hand you a costed roadmap you could run without us.

    3

    Agile delivery: 2-week sprints

    A named senior team builds alongside yours, transferring knowledge as it goes.

    Ready to build a data function that drives growth?

    A discovery call is the first step to understanding if we're the right fit to move your data capabilities forward.

    See client results ›

    45 minutes · no obligation · you'll speak with a founder, not sales

    Mark Rittman, CEO of Rittman AnalyticsLewis Baker, COO of Rittman Analytics

    What happens on the call

    with Mark Rittman, CEO or Lewis Baker, COO - not a salesperson

    • We ask about your stack, your team and what you're trying to achieve.
    • You get a clear read on where you are, and what we'd do next, whether or not that involves us.
    • No pitch deck. If we're not the right fit, we'll say so and point you somewhere better.