Artificial intelligence is reshaping marketing. Businesses across sectors are turning to AI solutions to streamline operations, optimize content production, and enhance personalization efforts at scale. 45% of marketers use AI tools in content ideation; 73% believe AI plays a role in personalizing customer experiences; 49% foresee changes to their teck stacks as AI matures.
However, AI’s impact isn’t simply limited to email marketing, search engine optimization, or social media. The grand new paradigm is in fact accelerating the evolution of marketing into an integrated, data-driven activity—one centered around the automation and optimization of audience engagement through the activation of data with ever increasing accuracy and depth. The shift of marketing talents to more strategic tasks—expected by 75% of companies investing AI technologies—goes hand in hand with the ongoing evolution.
RESUL, Resulticks’ flagship solution, was designed to give businesses a one-in-one solution for real-time audience engagement. Now, we are excited to announce the launch of Genie, the new AI engine of RESUL using the power of generative AI to enhance features throughout the solution and enable a set of powerful new use cases conducive to top-line growth.
In this blog, we will take you on a tour of the key areas where Genie will be making a difference, all with the goal of making personalized, real-time connected experiences accessible to businesses in diverse sectors.
Businesses too often struggle to unify their data and unearth reliable insights from the under-utilized resource, expending far too much time in the process. Genie’s Intelligent Data Ingestion capabilities revolve around minimizing the time from data integration to data activation. There are four chief use cases of Intelligent Data Ingestion:
Resulticks is ramping up its work on Internet of Things (IoT) as part of RESUL’s audience engagement channel ecosystem.
Genie enables RESUL to consolidate and analyze vast amounts of data from now a far more expansive range of channels—smart watches, automobiles, beacons, smart homes, as well as the array of existing digital channels—for identity resolution. As a result, businesses will be able to enjoy a unified view of the individual customer that is enriched with data from new touchpoints. Using RESUL, they can optimize their acquisition, engagement, and retention efforts based on that view at the individual level and at scale.
Genie powers its AI-driven auto segmentation capability by combining complicated event processing, streaming data analysis, existing brand data, market data, and behavior data RESUL gathers from integrated channels and sources. The GenAI engine then constructs unbiased segments, identify hidden segments, and refine targeting for maximum campaign and ROI impact.
Genie also enhances RESUL’s look-alike targeting capability. The solution’s AI models analyze consolidated data to derive audience propensities—the likelihood of an individual to behave in a certain way—to:
Genie combines audience propensities, as determined by RESUL, with data on brand features, communication responses, and other AI-generated data (e.g., attributes derived from campaigns) to identify additional suitable contacts based on their proximity to an existing target segment.
Genie’s rollout is the latest effort by Resulticks to simplify the efforts needed to create personalized, adaptive customer engagement programs that drive revenue growth consistently.
Perhaps GenAI’s most wide-known application, content generation is also a feature now enabled in RESUL with Genie’s introduction. The solution analyzes audience data in accordance with the parameters set forth in user prompts to generate tailored copies, images, and other assets. Users can also describe an upcoming campaign—its goal, broadly defined responses after initial communications, etc.—and choose from several tailored omnichannel customer journey flows proposed by the solution after analyzing the behaviors and intents of the most likely target audience.
Personalization, powered by Genie, entails the automatic delivery of hyper-customized content, interactions, and journeys. Resulticks’ next-best experience AI models play among the biggest roles here. For instance, the next-best product model studies the product preferences of similar contacts and the target individual to determine the product and product-related communications most likely to succeed. Audience propensities, discussed above, are thus utilized to optimize communications, content, and mid-campaign adjustments for better results.
Genie offers deeper, far more actionable insights to help businesses make smarter decisions and respond to diverse customers in real time. RESUL can now create AI-generated reports to better visualize funnels, campaign performance, and other key metrics for users. The AI engine delivers significant time savings in the calculation of key metrics:
RESUL’s now enhanced predictive and prescriptive analytics affords businesses refined churn predictions, churn prevention recommendations, KPIS predictions, and other insights. Users can also access detailed, real-time insights on audience journey patterns (e.g., how visitors are moving through pages across the brand’s website) and interest levels. They can convert such insights to instant campaign intervention within the solution by, for example, selecting contacts that traversed a specific sequence of pages as targets for an AI-powered retargeting campaign.
Genie’s arrival marks a new chapter in Resulticks’ journey to transform audience engagement for businesses from diverse markets around the world. As Resulticks develops more innovative AI-driven applications for the future of customer experience in the years to come, RESUL clients will see continuous improvements to the efficacy, cost efficiency, relevance of their marketing efforts.
Want to see Genie in action? Explore what it can do for your business’ growth in a personalized demo.