Pipeline influenced
The total value of open and closed deals where someone in the buying group touched your content, whether or not content gets the credit.
In depth
What it really means
Pipeline influenced counts the value of every deal where a member of the buying group engaged with your content at any point. It deliberately ignores which touchpoint was first or last, because in a considered B2B purchase that question has no honest answer.
It is the metric that most closely matches how B2B buying actually works. Forrester puts a considered purchase at around 27 distinct interactions across channels, and buyers typically consume around eleven pieces of content before contacting a vendor at all. Asking which one of those 27 caused the deal is the wrong question, and answering it with last-touch reporting is how content programmes get defunded.
Pipeline influenced = Σ deal value for every opportunity where any buying-group contact touched content before the close date
Content influence rate = (influenced pipeline ÷ total pipeline) × 100 The influence rate is the number worth reporting. In a functioning B2B SaaS programme it commonly lands between 60% and 90%, which sounds implausible until you remember that almost every buyer reads something before they buy. The value is in the trend and in what the untouched deals have in common.
Influenced against sourced
| Sourced | Influenced | |
|---|---|---|
| Counts | Deals where content was first touch | Deals where content was touched at all |
| Typical share | 10% to 30% | 60% to 90% |
| Understates | Everything content does after first contact | Nothing, which is also its weakness |
| Use it to | Judge top-of-funnel reach | Judge whether content shows up where deals happen |
Report both. Sourced alone makes content look small. Influenced alone makes it look responsible for everything.
Pros & cons
Pros
- Matches how B2B buying groups actually behave across many touchpoints.
- Credits the middle and late content that last-touch reporting erases.
- Available from most CRMs without a new attribution tool.
- Directs attention to which pages appear in won deals, which is a genuinely useful list.
Cons
- Over-claims. A high influence rate can mean content is everywhere without causing anything.
- Depends on tracking that identifies buying-group members, which many companies do not have.
- Non-comparable across companies, since everyone defines the window differently.
- Invites the sales-marketing argument about who owns the number.
The mistake people make
Reporting influenced pipeline without reporting what content the lost deals touched. The interesting analysis is comparative. If won deals consistently touched your comparison pages and lost deals did not, you have found something you can act on. If both touched the same pages at the same rate, your influence number is describing traffic rather than influence.
Best practices
- Report influenced and sourced side by side, always.
- Define the attribution window explicitly and keep it fixed.
- Track at buying-group level, not just the single contact in the CRM.
- Compare content touched in won deals against lost deals.
- Add a self-reported “how did you hear about us” field, since it often beats your tracking.
- Name the specific pages that appear most in won deals, and make more of them.
FAQs
What is pipeline influenced?
The total value of deals where any buying-group member engaged with your content before the deal closed.
Influenced or sourced, which should I report?
Both. Sourced understates content, influenced overstates it, and the pair together is roughly honest.
What is a good influence rate?
60% to 90% is common in B2B SaaS. Watch the trend and the composition rather than the level.
How do I track it?
Most CRMs can flag content engagement against opportunity records. Buying-group tracking matters more than tool choice.
Does it prove content caused the revenue?
No, and no attribution model does in a 27-touch purchase. It shows content was present where revenue happened.
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