Glossary

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Glossary / Evaluation and implementation guide

Demand Generation Attribution

Demand Generation Attribution is the allocation of pipeline and revenue credit across an entire multi-channel program—paid media, content, webinars, events—rather than crediting each campaign in isolation.

It answers program-level questions: which channel mix feeds qualified pipeline, and how should shared credit be split when several touches contribute? Models range from first and last touch to multi-touch and position-based weighting.

Attribution describes correlation between touches and pipeline; it does not prove a channel caused revenue.

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A practical example

Example: a demand gen program runs paid search, a blog series, and quarterly webinars.

A multi-touch model splits credit for a closed deal across all three, while a first-touch model gives it entirely to the webinar registration.

What to evaluate before investing

  • Ask which attribution models the tool supports and whether you can compare models side by side on the same pipeline data.
  • Check whether program-level rollup exists: can credit aggregate across channels into one program view, not just per campaign?
  • Test how the tool handles offline touches like events, and whether CRM activity data syncs reliably into the model.

Limitations and tradeoffs

Any model embeds assumptions about credit weighting; treat outputs as directional input to budget debates, not as proof of channel causation.

Plan your next step with MeshLine

Connect this decision to your automation, organic marketing and customer lifecycle management. In a MeshLine demo, discuss your existing tools, the scope you need and how to measure the result.

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