MeridianLink Opening
MeridianLink® Opening simplifies and accelerates digital account opening with a streamlined platform built for speed, security, and scalability. It supports a full suite of deposit products—checking, savings, CDs, and IRAs—while delivering a consistent, omnichannel experience across all channels. Through seamless integration with core and digital banking systems, as well as hundreds of trusted third-party providers, it automates data entry, ID verification, credit checks, and fraud protection. Flexible workflows and intelligent decisioning help institutions increase conversions, reduce abandonment, and cross-sell more effectively—all while supporting compliance and a frictionless consumer experience.
Our integrated digital platform supports the entire consumer financial journey while connecting with hundreds of trusted vendor partner solutions. Visit our website to learn more.
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TrueLoyal
TrueLoyal is an AI-powered loyalty platform built for multi-channel consumer brands that want to increase retention and lifetime value. It helps businesses design, launch, and optimize loyalty programs that connect seamlessly across online, offline, and distributor channels. With features like receipt scanning, gamification, predictive consumer insights, and personalized engagement, it ensures brands can build long-term customer advocacy. TrueLoyal integrates with existing systems through pre-built connectors and an open API, making it easy to connect with eCommerce, POS, and marketing platforms. Brands across industries such as automotive, beauty, food, and retail have reported dramatic increases in customer retention and repeat revenue. Backed by proven case studies, TrueLoyal positions itself as the central hub for customer retention strategies.
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Robyn
Robyn is an open source, experimental Marketing Mix Modeling (MMM) package developed by Meta’s Marketing Science team. It’s designed to help advertisers and analysts build rigorous, data-driven models that quantify how different marketing channels contribute to business outcomes (like sales, conversions, or other KPIs) in a privacy-safe, aggregated way. Rather than relying on user-level tracking, Robyn analyzes historical time-series data, combining marketing spend or reach data (ads, promotions, organic efforts, etc.) with outcome metrics, to estimate incremental impact, saturation effects, and carry-over (adstock) dynamics. Under the hood, Robyn blends classical statistical methods with modern machine learning and optimization; it uses ridge regression (to regularize against multicollinearity in many-channel models), time-series decomposition to isolate trend and seasonality, and a multi-objective evolutionary algorithm.
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