This means having the technology to collect data, generate insights, and distribute the actions to the different end-point systems in a centralised way so that the omnichannel messaging is the same.
We build a heightened sense of context for each consumer. Traditional segmentation is interesting, but not very effective. As we get more volumes of data from consumers’ digital interactions, we can create hyper-personalisation using a “segment of one”. We reinforce learning by using continuous testing at each micro-interaction level.
Helping the organisation embrace the digital expectations that its end customers have is key to a successful turnaround. We create processes and KPI frameworks that ensure that every small point of decision-making is done by putting end customers at the heart of the process.
Showing differently curated messaging or landing pages for each consumer.
Recommending products on the website such as “other shoppers also liked/bought”, “shop the look”, or “you may also like”.
With an automated drip Customer Relationship Management campaign based on behavioural insights, we can help derive a custom offer for each consumer taking into account their product preferences and price sensitivity in line with their channel preferences.
Social media analysis which uses Google and Meta’s algorithm by giving them an audience that we predict to be more engaged.
A device-based approach using different content which is relevant to the device.