"Running YouTube and LinkedIn awareness campaigns with no unified reporting — no clear visibility into what was driving qualified leads versus wasted impression spend."
Rankpage was running concurrent YouTube and LinkedIn campaigns targeting B2B decision-makers in Malaysia. The campaigns were generating impressions, views, and clicks — but there was no unified reporting layer connecting the two channels. YouTube data lived in Google Ads and YouTube Analytics. LinkedIn data lived in Campaign Manager. Neither talked to GA4. There was no reliable way to attribute conversions, understand cross-channel frequency, or know whether the same audience was being reached — and overloaded — across both platforms simultaneously.
The result was budget being allocated based on channel-native metrics that told different stories. YouTube reported view counts. LinkedIn reported engagement rates. Neither metric was anchored to business outcomes. The marketing team couldn't answer whether the campaigns were building pipeline or just burning budget on low-intent audiences.
The brief was specific: build a unified reporting environment that brings both channels into one dashboard, connects ad performance to on-site behaviour through GA4, and gives the team the visibility needed to make real optimisation decisions — not just report vanity metrics.
Before making any optimisation decisions, we needed a reliable data foundation. We started by auditing the existing GA4 setup, configuring proper event tracking for the key conversion actions, and connecting all ad platform data through Windsor.ai into a single reporting layer. Only then did we begin drawing conclusions and making campaign adjustments.
The core problem with multi-channel campaign reporting is that each ad platform claims credit for conversions differently. YouTube will attribute a conversion to a view. LinkedIn will attribute the same conversion to a click. If you let both platforms self-report, you end up with more conversions on paper than you had in reality.
We set GA4 as the single attribution source — every campaign was tagged with standardised UTM parameters, and conversion counting happened in GA4 rather than in the ad platforms. Windsor.ai then pulled the spend and impression data from each platform and joined it to the GA4 outcome data.
This gave the team one set of numbers to work from — not four different reports each telling a different story. Budget decisions could finally be made on a consistent basis.
Book a free 30-minute consultation with Jack. We'll tell you honestly whether your project is a fit — and what a realistic analytics engagement looks like for your business.