B2B marketing attribution built around how your business actually sells.
DDM combines platform data, CRM progression, pipeline evidence, and sales feedback to help marketing leaders evaluate contribution and make more defensible investment decisions.
CRM-aware · Business-defined · Evidence-led · Honest about uncertainty
Attribution is a decision tool - not a perfect record of causation.
B2B buying journeys involve multiple people, channels, conversations, and periods of research that no tracking system captures completely. Every attribution model makes choices about identity, time, touchpoints, and credit.
DDM does not present one model as the single truth. We clarify what each source of evidence can and cannot show, align the measurement approach to the way the business sells, and use multiple views to support better decisions.
The goal is not a perfect answer. It is a more defensible decision.
Different measures answer different questions.
| Measurement concept | Question it answers | Important limitation |
|---|---|---|
| Sourced pipeline | Where did the known relationship begin? | Depends on identity, source preservation, and the agreed sourcing rule. |
| Influenced pipeline | Which known interactions were present during the journey? | Presence does not prove causation. |
| Progression | Which sources or campaigns produce buyers who advance? | Requires consistent lifecycle definitions and sufficient volume. |
| Incrementality | What likely happened because of the investment? | Often requires testing, comparison groups, or modeling. |
| Optimization signals | Which outcomes are reliable and timely enough to guide platforms? | The deepest outcome may be too rare or delayed for bidding. |
A mature measurement system may use all five views. DDM helps determine which one is appropriate for the question being asked.
What more defensible measurement looks like in practice.
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Measurement should match the business, data, and decision.
Principles and delivery in one model - the definitions and lenses that make attribution defensible, and the process for turning them into repeatable evidence.
Business definitions first
Marketing, sales, RevOps, and finance need shared definitions for stages, source, influence, pipeline, value, and the time periods used in reporting.
Measurement audit
DDM reviews existing platform, website, CRM, pipeline, and reporting logic to identify conflicting definitions, missing handoffs, duplicate credit, and decisions the current system cannot support.
Multiple lenses
Platform conversions, sourced pipeline, influenced activity, progression, account evidence, sales feedback, and controlled testing can each reveal a different part of performance.
Framework, data, and reporting design
DDM aligns stakeholders around the questions that matter, connects campaign classifications, source data, lifecycle progression, opportunities, and eligible platform outcomes into reporting that can be reproduced and explained.
Explicit limitations and interpretation
DDM documents assumptions, gaps, and uncertainty so executives know what is observed, what is modeled, and what remains unknown - then reviews the evidence with the client to identify where the team should act, investigate, or avoid overreacting.
A measurement system designed for paid media decisions.
- Measurement and attribution audit
- Source and lifecycle definitions
- Sourced and influenced pipeline logic
- Funnel and progression analysis
- Campaign-to-CRM mapping
- Account and opportunity evidence
- Offline conversion and feedback-signal strategy
- Cross-channel reporting design
- Assumption and limitation documentation
- Executive interpretation and recommendations
DDM does not guarantee that every touchpoint or dollar can be traced to revenue. We build the strongest practical evidence the client's systems and buying journey can support.
Built for B2B teams ready to improve the quality of the decision - not chase a perfect model.
- Your sales cycle extends across multiple interactions or stakeholders.
- Platform reports and CRM reports tell different stories.
- Leadership needs a more credible way to evaluate paid media contribution.
- You want to distinguish sourced, influenced, progressed, and incremental outcomes.
- Your team is willing to align on definitions and document limitations.
- Measurement needs to guide actual budget or optimization decisions.
DDM is not the right partner for an organization seeking a guaranteed attribution answer or a dashboard that assigns exact revenue credit to every marketing interaction.
Questions we hear often.
What is the difference between sourced and influenced pipeline?
Sourced pipeline assigns the beginning of a known relationship according to an agreed rule. Influenced pipeline identifies known marketing interactions associated with an opportunity. Influence shows presence, not necessarily causation, so the two measures should not be treated as interchangeable.
Does multi-touch attribution show the full customer journey?
No model captures every interaction, person, conversation, or period of research. Multi-touch attribution can provide a useful view of recorded touchpoints, but its meaning depends on identity resolution, tracking coverage, lookback windows, and the credit rules used.
Can DDM connect paid media to Salesforce pipeline?
Yes, where Salesforce contains the relevant campaign, source, lead, contact, account, opportunity, and lifecycle data. DDM first evaluates data quality and definitions, then recommends the appropriate connection and reporting logic.
Which attribution model does DDM recommend?
There is no universal model. DDM recommends a set of views based on the client's buying journey, data maturity, reporting needs, and the decision being made.
How should brand or demand-creation media be measured?
The evidence may include reach within the intended market, account engagement, changes in direct or branded response, assisted journeys, controlled tests, sales feedback, and downstream progression. DDM avoids judging every investment only by last-click conversions.
Can attribution data be used for platform bidding?
Some downstream outcomes can be used for automated bidding when they are reliable, timely, frequent enough, and correctly matched. A reporting metric is not automatically a good bidding signal.
Make your next investment decision more defensible.
Bring us the reports that disagree, the pipeline questions leadership keeps asking, or the measurement model your team no longer trusts. We'll discuss what the data can support within the wider DDM program.