HOW TO MEASURE RETURN ON MARKETING INVESTMENT
There are essentially five methodologies available to measure return on marketing investment.
Of course each methodology has pros and cons and each sequential method below increases in its cost and complexity – a nice trade off for increased quality of insight and understanding.
1. Single attribution method – first or last touch
This method allocates all revenue value to the first touch (marketing action) that generates a lead and is subsequently closed e.g. a blog or an eDM. Alternatively, you can allocate all revenue value to the last touch (marketing action) that generates a prospect or a closed sale.
The pros of the single attribution method
- Easy to implement and low cost
- Good for lead generation accountability
- Investment per lead metric is simple to understand
The cons of the single attribution method
- Insights lack the depth of subsequent customer touches
- Doesn’t take into account the impact of lead nurturing
- Date can be skewed so quality is hard to read
2. Single attribution with projected revenue method
The pros of the single attribution with projected revenues method
- Places emphasis on revenue impact and not purely on lead generation
- Makes use of historical data inputs to quantify future value
- Acknowledges lead quality
The cons of the single attribution with projected revenues method
- Doesn’t account for multiple touch influence
- Heavily reliant on historical data which can be irrelevant for today’s circumstances
- Actual data must be entered once available
3. Multi touch attribution method
The pros of the multi touch attribution method
- Acknowledges lead nurturing’s role
- Excellent for highly considered and long lead time cycles
- Acknowledges all touch points
The cons of the multi touch attribution method
- Still relies on hypotheses
- Doesn’t illuminate the inter relationship between tactics
- Equal weighting can over emphasise certain touch points
4. Test and measure with control group method
The pros of the test and measure with control group method
- Enlightens the actual impact of your test variables
- Flexible enough to measure almost any variable
- Not expensive, providing your test design of your control is strong
The cons of the test and measure with control group method
- It is generally a once off tactical measure so doesn’t report effectiveness of all activities
- Can be expensive and time consuming to test everything
- It relies on variables to provide insight
5. Market mix modelling
The pros of market mix modeling
- Statistically accurate
- Measures the impact of all activities including external factors
- Provides understanding as to the effectiveness and efficiency of activities
The cons of market mix modeling
- Requires a lot of data which can be costly or impossible to collect
- Advanced statistical skills are required
- The use of a formula to drive short term impacts can upset long term brand building efforts

What is right for you?
US Research from Forrester tells us that 20% of B2B marketers don’t yet measure their return on marketing investment and a further 87% don’t feel confident in their ability to actually deliver against the revenue targets of their marketing activities.
The most important thing is to start! Start collecting data, start identifying touch points and start forming hypothesis for a great opportunity exists for those marketers who pay attention to their return on marketing investment.