Customers have similar traits but are not all alike and should not be spoken to with a single message in the same manner and tone. This was initially looked at in an earlier article ‘Talk to your customers or talk to your customer?’, but once the need to communicate with and not at all your customers is understood, providing different messages/offer/content using surface level details is a tempting approach, for example splitting the message by gender and/or age group.
This approach assumes that the surface level details represent the best groups of customers which will not always be the case. Looking at the sand in the initial image, at first glance all the grains seems to be identical with some obvious differences becoming apparent when a more detailed look is completed, be that sand from Devon or from Japan:
Fig 1 – Devon and Japanese Sand (Courtesy of Plymouth Electron Microscopy Centre)
This initial differentiation can be used to segment the grains, but as with customers this can group dissimilar grains into the same set. The understanding of a customer’s age does not provide an indication of their life stage, so a 40-50 year individual maybe an ‘Empty Nester’ (children left home) or ‘Taxi Parents’ (teenage children requiring ferrying from A to B) or even ‘Late Child Carers’ (young or pre-school children) with different desires and needs. Looking beyond the initial details can ensure you target the customer appropriately and in the right context (understand current activity to provide a message which relates at the current time).
The increased understanding of your customer can be represented by the increasing magnification of the sample of Devon sand shown in the images below (Fig 2) where the magnification is taken from 27x to 100x the initial view.
Fig 2 – Devon Sand x27 and x100 magnification (Courtesy of Plymouth Electron Microscopy Centre)
The granular insight enables key common characteristics to be identified, which go beyond the initial shape and size comparison, which when combined with the material analysis ensures more specific and relevant segments can be identified.
With customer segmentation the use of identity (who is the individual?), quantitative (interactive & transaction details), descriptive (additional information describing the individual, but not specifically identifying the individual) and qualitative (opinion, attitudinal, motivational) information can be used to define your understanding, beyond the original surface levels.
Finally the use of changing behaviour (amount, type, frequency, etc) can help you go beyond straight facts to identifying customers who may be likely to churn or need additional services beyond the existing usage. Think about the impact of adding water to sand and those footprints you left as you walked along the beach.
If you have any further questions or would like support / guidance in discovering your data and turning data into information to provide actionable insight that can deliver value to your business, please contact me through the BlacklerRoberts Ltd “Contact Us” page and I will be happy to discuss your needs. Alternatively please follow @BlacklerRoberts on twitter for further insights.