Case 02 / Metric-supported
Mixed headline numbers masked a buyer preference for faster contact with sales.
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Evidence note: Results retain the supplied evidence label and reporting context. Attributed or estimated results describe the available record, not an unsupported claim of causation.
The business saw more sales-email clicks, fewer completed quote journeys and fewer marketing asset interactions on some closed-won deals. Traffic and attribution reports gave conflicting interpretations, so neither explained how buyers were moving through the journey.
The Rolfe Marketing team combined HubSpot attribution with Google Analytics events across website and sales-email paths. Month-on-month comparisons then separated sales activity from marketing activity and tested interaction count against deal value. The analysis exposed a buyer preference for direct contact and a specific drop-off at quote submission.
The July snapshot recorded 208 web enquiries and an approximately 50% jump in direct sales-email clicks. Marketing assets touched fewer closed-won journeys, yet their associated deal value rose by about $300,000, from roughly $1.7 million to $2 million. The diagnosis prevented the team from optimising for the wrong behaviour and gave the web team a clear conversion hypothesis to test.
HubSpot and GA4 evidence connected asset interactions with deal value and the next conversion test.
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Next step
Map the customer journey when dashboard movement lacks meaning, then identify the conversion decision behind the change.
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