Guide · C13
Build a marketing objective tree
How can a business outcome be broken down into actionable objectives?
Direct answer
The tree makes the contribution chain explicit from the business outcome to marketing objectives, intermediate outcomes, initiatives and owners.
01Validate the contribution relationships before funding initiatives.
02The rule, the evidence and the next review date stay visible.
How to use this
Move from the question to the deliverable.
How can a business outcome be broken down into actionable objectives?
Validate the contribution relationships before funding initiatives.
Documented objective tree
Worked example · SQ-03
Break €1.2m of ARR down into controllable objectives
The tree starts from the economic result and works back up the conversion rates to the volumes marketing can genuinely influence.
Illustrative costed case: a B2B offer at €30,000 of average ARR, with 25% conversion of opportunities.
- 01Start from the result
Express the expected contribution in value and deadline.
- 02Work back up the funnel
Divide successively by each documented conversion rate.
- 03Test the capacity
Compare the volumes required with historical figures and available resources.
- 04Assign
Name an owner and a KPI for each actionable node.
Contribution tree: from ARR to MQLs
The calculation makes visible the minimum volume to produce if the conversion rates stay constant.
Required upstream volume = downstream target ÷ expected conversion rate| Node | Assumption | Calculation | Annual target | Owner |
|---|---|---|---|---|
| Marketing-sourced ARR | €30,000 per contract | 40 × 30,000 | €1,200,000 | Marketing leadership |
| Contracts won | 25% win rate | 1,200,000 ÷ 30,000 | 40 | Marketing + sales |
| Opportunities | 25% won | 40 ÷ 0.25 | 160 | Demand generation |
| SAL | 40% become opportunities | 160 ÷ 0.40 | 400 | SDR + marketing |
| MQL | 32% accepted by sales | 400 ÷ 0.32 | 1,250 | Acquisition |
| Monthly MQL | 12 months | 1,250 ÷ 12 | 104 | Acquisition |
01The target of 104 monthly MQLs is valid only if the three conversion rates stay stable.
02A fall of the win rate to 20% would raise the need to 1,563 annual MQLs.
03The tree must therefore track the conversion rates as sensitive assumptions, not as constants.
Fictitious case. The rates are planning assumptions, to be replaced by the organisation’s own data.
Coherence controls
Minimum conditions before validation.
The status, the evidence and the owner must be available for review.
The status, the evidence and the owner must be available for review.
The status, the evidence and the owner must be available for review.
The status, the evidence and the owner must be available for review.
Usable deliverable
Documented objective tree
Explore the decision further with an interactive control, or start from a structured template to produce your deliverable.