Analysed.co

When you’re buried in spreadsheets and exports, Analysed.co steps in as your on‑demand data partner. Open a request, describe what you want to decide—reduce churn, scale ad spend, fix margin leakage—and attach your files or grant read access (Shopify, GA4, Meta/Google Ads, Klaviyo, Stripe, Amazon, BigQuery, etc.). We confirm scope, map your sources, and get to work. Within several working days, you receive a concise brief of findings, a cleaned dataset you can trust, and ready‑to‑use assets: dashboards, SQL, notebooks, and CSVs for import into your tools. Iterate by replying with follow‑ups; we refine segments, add metrics, or expand sources without you hiring a full team.

For online stores, a common flow starts with a growth review: upload orders, ad spend, and email data; we match identities across platforms, rebuild attribution, and compute LTV by cohort. You’ll get RFM segments, breakouts by SKU and channel, and inventory turns tied to contribution margin. Need action right away? We provide ESP‑ready audience lists (win‑back, replenishment, high‑intent browsers), a promotions calendar informed by seasonality, and bundle suggestions based on frequently bought together pairs. If you want ongoing visibility, we set up a lightweight dashboard or deliver a weekly workbook that plugs into your planning rhythm.

For startups, the typical engagement focuses on a single customer view and reliable KPIs. Share product events, CRM contacts, billing data, and support tickets. We reconcile accounts and users, standardize event names, and produce a mastered dataset with metric definitions you can reuse: activation, retention, expansion, payback, and net revenue retention. Expect a data model diagram, tested SQL, and a glossary that travels with your team in Notion or Confluence. We can feed the output into your existing BI or keep it simple with a maintained spreadsheet if you’re not ready for a warehouse.

For operations and finance teams, we handle the unglamorous but critical pieces: cleansing, migration, governance, and security. Share samples and validation rules; we build checks for duplicates, missing values, outliers, and broken joins, then automate fixes like address normalization and product code harmonization. Moving systems? We create field maps, run test loads, and verify counts and totals before cutover. Sensitive information is encrypted at rest and in transit, with role‑based access to protect PII. Work happens during the business week with predictable turnarounds, and you always get handover materials so the work is reusable, auditable, and easy to maintain.