A SaaS team running paid-only acquisition needed a system where every channel compounded the others — and every dollar was traceable to pipeline.
The problem was not the channels. It was that they were running in parallel with no shared signal, no audience overlap, and no attribution model connecting spend to closed revenue.
Paid search was generating clicks but not pipeline. Organic content existed but was not connected to any retargeting audience. Outbound had been tried and abandoned after one bad quarter with no documented learning.
The team had no shared attribution model. Every channel reported its own metrics in its own tool, and leadership had no way to see which activity was actually generating revenue.
We audited the existing stack, mapped the ICP against each channel’s current audience, and designed a three-channel architecture where paid, organic, and outbound shared data and reinforced each other.
Organic content was tagged and fed into paid retargeting audiences. LinkedIn outbound was pointed at visitors who had read high-intent articles. Paid campaigns were restructured around the ICP segments the organic content had already qualified.
Within six months, pipeline from non-paid sources grew from 12% to 41% of total pipeline. CAC from paid dropped as organic and outbound took on a larger share of top-of-funnel work.
The system was documented and handed off with runbooks for each channel. The team could operate it independently and had a single pipeline attribution dashboard to make budget decisions from.
Pipeline attribution data, channel performance trends, and CAC movement across the engagement period.
Acquisition systems work best when they share signal across channels and connect to a clear attribution model.