hello, we’re cubiq

We set up your data.You ask the questions.

Cubiq is a boutique data, analytics and AI consultancy. We put your numbers in order, set up an assistant that answers in plain language, and hand it all over.

  • Fixed price per project
  • Senior expertise only
  • Everything we build is yours

what we do

From scattered tools to answers, in four steps.

We do the heavy lifting; your team only joins a few short sessions.

  1. Step 1

    We connect all your tools.

    Data from all your tools, merged in one place, in your own account, and updated every day.

    your tools → your data
    example
    • Shopifyshop
    • Stripepayments
    • Mailchimpemail
    • HubSpotsales
    • Sheetsfinance
    • Your appusers

    your data

    in your own account

    updated today, 06:00

  2. Step 2

    We clean it up into a single source of truth.

    Every customer, order and payment appears once, and correctly, whichever tool it came from.

    one customer, one record
    example
    • Shopify

      name
      Jane D.
      email
      jane@acme.co
      orders
      3
    • Mailchimp

      name
      JANE DOE
      email
      Jane@Acme.CO
      news
      subscribed
    • Stripe

      name
      j.doe
      email
      jane@acme.co
      paid
      €1,240

    Customer

    name
    Jane Doe
    email
    jane@acme.co
    orders
    3
    paid
    €1,240
    newsletter
    subscribed

    ✓ 3 versions, 1 customer, checked

  3. Step 3

    We agree with your team what every number means.

    With finance, sales and marketing, we define each key number once. From then on, everyone uses the same ones.

    your key numbers
    example
    • Revenue

      €831k

      = paid orders, minus refunds

    • Active customers

      2,140

      = bought in the last 30 days

    • Churn

      2.4%

      = share of customers who stopped buying

    • Average order

      €68

      = revenue ÷ number of orders

    • Cost per new customer

      €42

      = marketing spend ÷ new customers

    • Repeat rate

      31%

      = customers who bought twice or more

    ✓ agreed with finance, sales and marketing

  4. Step 4

    We set up an assistant your team can ask.

    Ask in plain language, in Slack, ChatGPT or Claude, and get an answer in seconds, based on your agreed numbers.

    #ask-data
    example

    Marta, CEO 09:02

    How is churn this quarter compared to last?

    Data assistant 09:02

    Churn is 2.4% this quarter, down from 3.1%. Most of the improvement comes from customers on yearly plans.

    Churn by quarter
    last quarter3.1%
    this quarter2.4%

    Based on: Churn (agreed definition)

    answered in 3 seconds

how we work

How we work together.

A fixed price before we start, senior strategy and hands-on work, and everything handed over at the end.

  1. A 30-minute call

    Tell us what you can’t answer today. We’ll tell you honestly if we can help.

    your time: 30 minutes

  2. A plan and a fixed price

    A written plan: what we’ll build, in what order, how long it takes and what it costs.

    your time: 1 hour to review it

  3. We build it with you

    We do the work and show you progress every week.

    your time: a few short sessions

  4. We hand it over

    Training, documentation and everything running in your accounts. Then stay with us monthly, or we’ll help you hire your first data person.

    your time: one training session

Book a 30-min call

services

Start small, or go all the way.

  • Getting started

    Your main tools connected and your first dashboards live, at a fixed price.

  • The full setup

    All four steps, from scattered spreadsheets to plain-language answers, delivered in stages.

  • Ongoing support

    A monthly plan for new tools, questions and reports, without hiring a data team yet.

add-on

Hiring your first data person

Ready for your own data person? We define the role, interview candidates with you and get your hire up to speed on everything we built. We’ve hired data people many times.

about us

We’ve done this from the inside.

Before Cubiq, we were the data team inside start-ups and scale-ups: sometimes the first data hire on greenfield projects, sometimes leading data at scale-ups.

We’ve solved a bit of everything: slow finance reports, unclear marketing results, growing data bills, teams ready for AI. Now we bring that experience to yours.

results from past work
  • 100+ hsaved every year on automated financial reporting
  • +75%conversion from a better marketing model, A/B tested
  • 90%+of reports built by business teams themselves
  • $55ka year in projected data costs saved