The scale and complexity of real-time, omnichannel marketing demand a new AI & ML backbone. With forty-three advanced models, RESUL is always optimizing its AI-powered processing capabilities. To optimize performance, model training and creation are kept in the background, separating them from model usage and execution.
RESUL applies its deduplication algorithms to batch and streaming data alike to ensure its quality before ingestion. It applies custom-built identity resolution and profile completeness models to identify unknown, known, and identified audiences—all while augmenting individual profiles received with the help of various data sources, communications, and campaigns.
Leverage segment-of-one, B2B/B2C lead scoring ML models to enhance your targeting efforts. Apply segment clustering and look alike audience modeling to unearth valuable new audiences for greater reach and impact.
Match the right offer and communications, and promotions with the right audience through RESUL's next-best experience management engagement and promo recommender. Contextualize entire experiences based on individual time, channel, content, and offer propensities to move your audience towards conversion and loyalty.
Utilize AI-powered orchestration feature to map out entire omnichannel journeys based on past campaigns and real-time interaction insights. Also, take advantage of models for subject line and text analysis to assess the quality of content used in your campaigns.
With various attribution, ROI, and budget simulation models, be reassured of the returns on your campaigns and discover the necessary actions you should take to optimize your campaign ROI.
Set the right target ranges and goals for your upcoming campaign efforts based on campaign and product type to avoid adopting skewed performance metrics. Compare your campaign’s performance against both subscribed third-party and RESUL's own industry benchmark data.
Combine metrics from across multiple channels with robust models that deliver insights on brand health, awareness, and affinity. Analyze all possible audience paths across touch points to pinpoint where conversions occurred. Assess individual customer lifetime values based on individual ROI, attribution, and the predicted length of your relationship.