Use first and last touch for focused perspectives
First touch helps evaluate awareness and acquisition: organic search, social campaigns, introductory content, and channels that bring new people into the audience. Its limitation is that it ignores subsequent nurturing.
Last touch helps identify appeals, donation pages, CTAs, and emails that immediately precede completed revenue. Its limitation is that it can overvalue the final ask and undervalue everything that made the donor ready.
Use linear and time decay to examine longer paths
Linear attribution recognizes every eligible recorded interaction equally, which provides breadth across long cultivation journeys. It does not prioritize the relative importance of a routine page view versus a development meeting.
Time-decay attribution recognizes the full journey while giving more credit to recent activity. It can suit Giving Tuesday, year-end, emergencies, registrations, renewals, sponsorship deadlines, and other time-sensitive campaigns, but it may underweight early trust-building.
Interpret empirical weighting in the context of data quality
HubSpot's empirical model uses historical conversion paths. Less frequent interaction types may receive greater weight because they are more distinctive than common actions. A form submission, for example, may stand out more than a page view.
The result still depends on sufficient, reliable data. Incomplete tracking, inconsistent deal associations, or very few completed journeys make empirical attribution less dependable.