Integrating data analytics can convert insights into actions.
Effective engagement depends on knowing what a customer wants and needs, and when and how they want it. The ability to track how these preferences evolve over time to respond instantly to shifting trends and remain relevant can also reduce customer churn.
However, knowing your customer and how best to engage with them is only half the battle won – as they say, knowledge is nothing without action.
Companies need to invest in the right tools and expertise to operationalise customer data. Data analytics solutions implemented in isolation seldom deliver business value.
Applying an analytics lens to customer data can tease out vital insights and the nuances that an appropriate customer engagement solution can utilise to deliver hyperpersonalised experiences across multiple touchpoints and do so at scale.
In this regard, analytics tools should inform agent interactions in real-time to craft personalised engagements, or train data-driven automated digital channels to deliver convenient, responsive interactions via a customer’s preferred platform.
More importantly, analytics should accurately contextualise the customer journey to inform when and how businesses should engage customers according to their individual preferences, while offering them relevant products or services.