More sales attributed
Closing the gap to the hotel group’s CRM.
Case study · Dreamplace Hotels
Dreamplace integrated SealMetrics into its analysis process. The 15–20% sales-attribution gap with the previous tool is now large enough to change channel budgets.
Closing the gap to the hotel group’s CRM.
The observed gap after consent-shaped loss.
Meta and Google were the first budget surfaces.
Dreamplace knew the booking total from its internal systems. The uncertainty sat between that total and the channel story produced by conventional analytics.
Because the missing share was not distributed evenly, the incomplete dataset could change which channel appeared efficient — and therefore where the next euro went.
“What it gives us is what we’ve always needed: data as real as possible, as close to reality as possible.”
Eduardo Martin · Analytics & Campaigns · Dreamplace Hotels
Method
The team runs SealMetrics as an independent measurement layer, compares attributed sales with the native CRM total and uses the remaining gap as a quality signal.
Use the hotel group’s recorded sales total as the baseline.
Compare SealMetrics with the existing tools over the same commercial period.
Find where consent loss changes Meta and Google attribution most.
Use the reconciled view to shift budget toward the channel or strategy the previous stack undercounted.
Result
SealMetrics attributes 15–20% more sales than the previous tool and measures roughly 30% more traffic than Google Analytics.
That difference is used operationally: it changes channel analysis and budget allocation instead of remaining an abstract data-quality metric.
“The value is in optimising budget and investment. You shift toward a channel or strategy you were not seeing before.”
Eduardo Martin · Analytics & Campaigns · Dreamplace Hotels
Compare with your data
Run both measurement layers together and locate the channel decisions that change when the missing traffic becomes visible.