Analytics That Connect Marketing Spend to Revenue
Technology companies generate vast amounts of marketing and product data across dozens of platforms, but most cannot answer the fundamental question: which marketing activities are actually producing revenue? We build analytics and reporting infrastructure for technology companies that unifies data from advertising platforms, website analytics, marketing automation, CRM, and product usage into a single source of truth that enables confident investment decisions.
Challenges We Solve
- Marketing reports pull numbers from Google Ads, LinkedIn, HubSpot, and Google Analytics separately, producing conflicting metrics that undermine executive confidence and make budget allocation decisions feel like guesswork
- Your attribution model is last-click by default, which systematically overcredits bottom-funnel channels and undercredits the brand awareness and content programs that created the demand in the first place
- The marketing team spends days each month assembling reports manually from multiple platforms instead of analyzing performance, and the resulting decks are outdated by the time they reach leadership
- Product usage data and marketing data live in completely separate systems, making it impossible to understand which acquisition channels produce customers who actually adopt the product and retain long-term
Our Approach
We start with a data audit that catalogs every marketing and sales data source, identifies gaps and inconsistencies, and maps the ideal flow from impression through to revenue. From there, we build a unified measurement framework that standardizes definitions, aligns attribution models across platforms, and creates a single reporting layer your team can trust. For tech companies, this typically involves integrating ad platform data, website analytics, marketing automation, CRM pipeline and revenue data, and product usage metrics into a central warehouse or reporting tool. We build automated dashboards that surface the metrics that matter at each level of the organization, from channel-specific performance for campaign managers to pipeline contribution and ROI for executives. Attribution modelling is implemented based on your specific sales cycle and channel mix, whether that is multi-touch attribution, media mix modelling, or incrementality testing. Every analytics implementation includes documentation and training so your team can maintain and extend it independently.
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