Mobile app, web, brick and mortar, WhatsApp, social media, beacons, smart kiosks, email… The litany of channels you must keep within sight at any moment seems to be stretching into infinity as we welcome another year—so does the data and communications that come with all those touchpoints. Anything that can alleviate the sheer enormity of the task at hand will be a welcome prospect, and artificial intelligence has been incorporated into a variety of solutions to offer precisely that relief.
The Difference AI Can Make
To be precise, AI, in the context of customer engagement solutions, analyzes massive streams of data at the brand’s disposal to generate actionable insights on audiences and drive responses that can maximize growth. It allows marketers to pull off that much-heralded trick—providing the right customer with the right experience, at exactly the right time, channel, and lifecycle stage.
AI delivers personalization done right and at a considerable scale, with a fraction of the time and resources usually required of such efforts. That’s a tantalizing proposition, but what does it actually entail?
You can expect several benefits from AI-driven customer engagement. Some of them include:
1. AI enables marketers to surpass superficial metrics on reach, engagement, and conversion, giving them access to actionable, accurate insights on audience behavioral patterns, propensities, and other traits.
2. AI-driven segmentation goes beyond demographic and transaction-based targeting. It can distill data on individual customers’ preferences in terms of time, channel, offer, and more, all while automatically deriving data from engagement. This allows marketers to be far more proactive and strategic in their customer engagement efforts in real-time.
3. AI, embedded in a robust data-driven customer engagement solution, makes it far easier to achieve, at scale, the identification, creation, and enrichment of singular customer identities—indispensable to the delivery of seamless, consistently contextualized customer journeys across channels and over time.
The DelphAI engine powers features throughout RESUL to enables a wide range of use cases designed to streamline customer engagement processes, proffer more valuable metrics, and optimize performance outcomes.
AI-Driven Use Cases in RESUL: Examples
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