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Analytics & Data for SaaS
Analytics implementation, BI, and data teams. Read the full guide · 1 min ↓
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Nearly every optimisation programme that fails does so for the same boring reason: the data underneath it was wrong. Duplicate events, broken conversion tracking, a CRM whose lifecycle stages stopped matching the sales process two reorganisations ago.
The partners below fix that layer first — analytics implementation and audit, attribution modelling, CRM and marketing automation architecture, and the dashboards leadership actually uses. It is unglamorous work and it is usually the highest-return thing an underperforming marketing team can buy.
Questions SaaS teams ask before hiring a Analytics & Data agency
The usual symptoms: platform conversion counts that do not reconcile with the CRM, channel reports that sum to more than total revenue, lifecycle stages nobody trusts, and leadership exporting spreadsheets on a Sunday because the dashboards cannot be relied on. Any of these justifies an audit before further optimisation spend.
A review of tracking implementation and event definitions, conversion and goal configuration, CRM field and lifecycle mapping, attribution setup, and data quality across the stack — delivered as a prioritised remediation list rather than a report. Most run as a fixed-scope project of a few weeks.