Recommendation and Targeting: what is the difference?

Do words such as triggers, intent, AI-driven, customer-centric, and retargeting send your head into a bit of a spin? When it comes to the realm of CRM, it can be difficult to make sense of the array of marketing solutions, techniques and jargon at hand. But fear not, Splio presents you with this vibrant infographic to arrange all this confusion by way of a simple and helpful visual.

Whilst it’s easy to confuse the notion of CRM recommendation with CRM targeting, both techniques are unique in their approaches. Recommendation is based on promoting similar products to a customer who has already expressed intent. In comparison, targeting, based on unsupervised AI and machine-learning, begins with whatever products encompass your marketing agenda, and uses ‘lookalike models’ to find the ideal targets within your database, even those who have not expressed any recent intent.

For a more in depth comparison on these two techniques, take a look at the infographic below:

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