What happens to channel rankings when a SaaS company switches the credit rule?
A business-software company with a 90-day sales cycle ran two reports off identical data: one crediting the first touch, one crediting the last. The question they had to confront: which channels look essential, and which look worthless, purely because of where you put the credit?
The comparison. First-click attribution awards 100% to the journey's opening touch; last-click awards 100% to the final one. Both are single-touch heuristics — simple, deterministic, and silent about everything in between. With a long B2B cycle and many touches, the two rules pull in opposite directions.
What the documented case showed. Under last-click, branded search and direct dominated, with paid display and content marketing showing near-zero return — they rarely closed deals. Under first-click, those same upper-funnel channels carried 50-60% of credit because they opened the journeys, while branded search collapsed to a fraction. Same pipeline, same revenue; the "top channel" flipped entirely with the rule.
The nuance. Neither model is measuring contribution — each is asserting a position matters and ignoring the rest. The dramatic swing is not insight; it is proof that single-touch rules encode an assumption rather than discover a fact.
Bottom line for practitioners: if your channel rankings reverse when you change the credit rule, you are looking at the rule, not the channels. Use position-based or data-driven models to stop the swing, but treat any long-cycle B2B attribution as directional until a holdout tells you which touches actually moved the deal.
Credit Where Due
@CreditWhereDue
What happens to channel rankings when a SaaS company switches the credit rule?
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