We build the data infrastructure scale-ups actually need — reconciled, productized, owned by your team.
Six months of discovery. A bloated proposal. £40k quotes for a warehouse your CMO needs in time for next quarter's board.
Productized packages, scoped in days and delivered in three to four weeks. Fixed price. Your team owns it after.
Three productized engagements — each one fixed price, fixed scope, with real handover. Pick a starting point.
Shopify, Meta, Google Ads, TikTok, Klaviyo and GA4 reconciled in your warehouse — with dbt models for blended CAC, LTV, and channel attribution.
View — ↗A unified customer profile across Shopify, Klaviyo, Meta and your CS tools — segmentation-ready, with reverse ETL back into your marketing stack.
View — ↗A productized BI layer with the dashboards a D2C founder actually uses — cohort retention, channel P&L, LTV curves, inventory velocity.
View — ↗Thirty minutes. We diagnose the gaps in your current stack and tell you, honestly, whether we're the right shop.
We audit your stack and return a fixed-price proposal within 48 hours. No moving targets, no scope creep.
Weekly demos, working artifacts, your data — not slides. Most engagements ship working pipelines in week two.
Full documentation, runbooks, training, and thirty days of post-launch support. Your team owns it.
Optional managed retainer — monitoring, model evolution, and an SLA-backed line back to the team that built it.
Good data should be invisible. It should accelerate the business — not slow it down. Founders belong on the work that moves the company forward; everything else should be handled with enough precision that it never distracts.
Real cost benchmarks, fillable scoring matrices, and battle-tested architecture patterns — distilled into a single field guide. Free.
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That’s the whole point. We reconcile Shopify, Klaviyo, Meta, GA4, and Stripe into a single warehouse with one definition per metric — so blended CAC, ROAS, and LTV match across every dashboard. You walk into the next board meeting with one number you can defend, not three you have to choose between.
Yes — D2C and e-commerce scale-ups (£5M–£50M revenue) are our primary ICP, and B2B SaaS (Series A–B) is a close second. Our packages are designed around the Shopify + Klaviyo + Meta + Stripe stack, plus the Mixpanel/Amplitude reconciliation pain SaaS teams hit at Series A scale.
Yes — it’s most of what we do. We build the modelling layer that makes blended CAC, channel ROAS, and customer LTV match across every reporting tool. Reverse ETL into Klaviyo, Meta CAPI, or your ops tooling included.
We model usage events alongside billing events in your warehouse, with shared customer/account dimensions — so product analytics and revenue tie out. Same approach for customer success: usage data joins to subscription state without manual exports.
AWS, GCP, and Azure. Templates are cloud-agnostic at the logic layer, optimised per platform. Default warehouse is BigQuery or Snowflake — we’ll recommend based on your data volume and cost profile.
30 days post-launch support, full documentation, and training. Your team owns the dbt models and pipelines outright — no vendor lock-in. Optional managed retainers available if you’d rather not run it in-house.
Agencies pretend to do data work; freelancers are a single point of failure. We work from productized, battle-tested templates, ship in 3–4 weeks fixed-price, and your team owns every line of code afterwards.
£8,000 to £30,000. Every penny scoped upfront — no surprises. Most D2C engagements land £8–25k; SaaS engagements typically £10–30k.
Every engagement is built around the seven UK GDPR principles and the Data Protection Act 2018 — lawful basis tagging, data minimisation, right-to-erasure-ready models, UK/EU residency by default, and audit-ready documentation. We sign DPAs as standard and align our security baseline with ISO/IEC 27001, NIST CSF, and OWASP — so we pass enterprise vendor reviews without rework.