Tuesday, August 14, 2007

10 ways to get more from Marketing Mix Analysis

I'm currently working on a white paper about Marketing Mix Analysis and how the industry needs to adapt to meet new client needs. As part of this paper, I've created some "best practice" advice points that I wanted to share and get some feedback on. Please feed back any comments.

10 Ways to get more from Marketing Mix Analysis:

  1. Be realistic about what the analysis can help you achieve – drop words like optimisation and replace with words such as “improvement”. Bravado is a great quality when used correctly but its place in analytics is questionable. Realistically, systematic measurement and improvement programmes in marketing can improve ROI by an average of 10%-15%. However it is not going to happen every time and when it does, it is unlikely to be effort free.

  2. Focus on quality not quantity of results– many mix projects suffer from over engineering – both in terms of data used for analysis and detail in results. The old adage of Keep It Simple Stupid (KISS) applies as much for mix modelling as it does in any other area. Start with analysing the key metrics that determine business success before moving further down the value chain. Think of “money at risk” – that should clearly determine the key issues to be analysed. Simply adding dimensions of complexity may bring a new depth to the problems that can be solved but is that really where the real value is going to be derived from?

  3. Beware of averages – average measures are a big danger in marketing for two reasons. Firstly, given that there is no such thing as an “average” customer, it is going to be very difficult to create a campaign that will satisfy them. Secondly, average performance may be misleading – it is the marginal returns that are meaningful – i.e. the return from the last unit invested. In an industry that rightfully eulogises the term “diminishing returns”, there is a woeful level of understanding about “marginal” performance.

  4. Create genuinely meaningful reports – if an organisation is to make changes in marketing strategy then it needs to be clear to all those who are touched by this as to why changes are taking place. Clear and concise reports can help organisations share knowledge efficiently – long winded one hundred page presentations are not the best method to communicate change.

  5. Use simple language where possible – enough said. The people who need to respond to marketing analytics tend not to be the most mathematical proportion of the population. Comparing results in statistical terms is easy for analysts but not for laymen. However the wider marketing community have a valuable part to play in the interpretation itself and needs to be included in discussions.

  6. Standardise results– Not all models are built equal. Ask whether you can compare the range of potential models being presented to you on the same basis. If you can’t, how can you benchmark and improve performance. Standardised reporting may be inflexible but it is repeatable and enables quick comparisons between results. Standardised reporting enables one of the favourite techniques of modern managers - benchmarking. Marketing teams often hate it but it is valuable.

  7. Focus on the actionable areas of the business – Report writers love to provide elaborate explanations for esoteric findings from their models but often they end up reporting on non marketing issues to marketing teams. Whilst some if this information may be useful, teams are often time pressed and it is marketing issues they need to focus on.

  8. Systemise the analysis process– one-off reports may be useful to organisations seeking an occasional review of their activities but only continuous monitoring will lead to real improvements in performance. By systemising the reporting of marketing analytics, real processes can be adopted for test and learn marketing. The CMO council have shown that organisations that have managed to adopt these processes perform better and it can be no coincidence.

  9. Develop test & learn processes – many successful marketing organisations have figured out ways to experiment with marketing in order to prove to themselves what is working. In almost all these cases, the organisations in question are able to action findings quickly once they have been identified. If your marketing organisation makes changes to their plans once a year as part of an annual planning cycle then you are missing an enormous opportunity to improve marketing performance.

  10. Combine it with other analysis - Marketing Mix Analysis can be a blunt tool - it tends to give high level results. It addresses some important business questions but isn't a panacea. Never overlook other research techniques.

Any other thoughts or comments?


David said...

I would guess that point 4 could clash with points 6 and 8. That said, having an area of the report for "relevant commentary" may suffice. In my experience, a lot of data is often presented without much context.

I would rename point 10 to “Build the Bigger Picture”. I am all about having results visualised, time-lines plotted, supporting charts/results positioned in the appropriate place so a bigger picture can be seen.

John said...

I don't really see any major issues between 4 and 6 / 8. Certainly relevance and standardisation are not mutually exclusive.

Data without context is useless - in the extreme this is a simple as badly labeled charts (unforgivable).

I like the renaming of point 10 and will prob go with your suggestion.

AN said...

Did you ever write you white paper? I would love to see it.

John said...

The document referred to can be found here:


Hope you enjoy it,