Boutique Analytics Consultancy

Data that
drives real
decisions.

We partner with a selective group of organisations to design and deliver data science and analytics that are precise, durable, and genuinely used — not black boxes that gather dust.

Return on ad spend Indexed to launch (100) · months since go-live +38% vs. launch 100 110 120 130 140 launch 138 M1M2M3M4M5M6M7M8
Senior
Every engagement is led and delivered by senior practitioners
Selective
We take on a small number of engagements each year
Honest
We measure success by decisions changed, not hours billed
Yours
Built to hand over — your team owns the work when we leave

End-to-end analytics, built to last.

From boardroom strategy to production systems, we design analytics your teams can actually use — and maintain long after we've gone.

01

Data Strategy

We help leadership teams understand the data they have, find the gaps, and build a roadmap that ties analytics investment to business outcomes.

02

Analytics Engineering

Clean, tested data pipelines and a semantic layer that give analysts and stakeholders a single source of truth — no more conflicting dashboards.

03

Machine Learning

Forecasting, segmentation, and risk models built for your domain and deployed in a way your team can monitor, retrain, and trust.

A method, not a menu.

Every engagement runs through the same four movements — because most analytics work fails in the framing, long before the modelling.

  1. 01
    ImmerseLearn the business first
  2. 02
    FrameDefine the real question
  3. 03
    BuildEngineer the solution
  4. 04
    EmbedHand over; make it stick
01
Deep domain immersion

We spend real time understanding your business before we touch a dataset. Most hard problems in data are business problems in disguise.

02
Embedded, not outsourced

Our team works alongside yours. Knowledge transfers by default — we build capability, not dependency.

03
Outcomes, not outputs

A model nobody uses is a failure regardless of its accuracy. We stay engaged until the work is adopted and creating value.

How we approach complex problems.

We take on fewer engagements so we can do each one properly. These are representative examples; the figures shown are typical of the kind of result this work delivers.

E-commerce

Improving Google Ads ROAS with value-based bidding

Fixing conversion-value tracking and moving to value-based Smart Bidding can lift return on ad spend by roughly a third — on the same budget.

Return on ad spend Indexed, before vs. after 100 132 Before After ROAS improvement +32% ↑ revenue
B2B Services

Lowering cost per qualified lead

Feeding CRM outcomes back to Google Ads through offline conversion tracking lets bidding optimise for quality — cutting cost per qualified lead by about a quarter.

Cost per qualified lead Indexed, before vs. after 100 76 Before After Cost reduction −24% ↓ cost

Decisions, not dashboards.

We design every system around the decision it's meant to support. That means interfaces a director will actually open, forecasts with honest uncertainty, and metrics everyone agrees on.

  • Forecasts that surface their own confidence, not just a point estimate
  • A single, governed definition for every metric that matters
  • Monitoring and retraining built in, so the work stays trustworthy
  • Revenue forecastNext 6 quarters · 90% prediction intervalQtrHalfYr0$MnowActualForecast90% intervalForecast accuracy (MAPE)4.2%↓ 6.1ppProjected ARR$97.4M↑ 18%Stockout riskLow

    Illustrative product mockup

    The best analytics partner is the one you eventually don't need.

    We measure success by the decisions we change and the capability we leave behind — not by how long we stay. Selectivity is how we protect that standard. We take on a small number of engagements each year, and we go deep on every one.

    Let's talk about what's possible with your data.

    We take on a small number of new engagements each year. If you have a problem worth solving, we'd like to hear about it.

    Start a conversation