Google Meridian Description
Google Meridian is an open source framework for Marketing Mix Modeling (MMM) designed by Google, aimed at assisting advertisers and analysts in effectively assessing the influence of their marketing initiatives across both online and offline platforms without dependence on cookies or individual user tracking. Central to Meridian is a Bayesian causal-inference model that can process aggregated data—including spend, sales, key performance indicators, reach and frequency, geographical data, seasonality, and external controls—to determine the incremental impact of each marketing channel, such as search, social media, video, and offline media, on overall results, as well as to calculate return on ad spend (ROAS), response curves, and optimal budget distribution. As an open-source tool, it affords users complete visibility into the methodologies and code, empowering them to customize model settings, data inputs, and the underlying assumptions. This level of transparency not only enhances trust but also encourages collaboration among users to refine the model further. Additionally, the open-source nature allows for community contributions, which can lead to continuous improvements and innovations in the framework.
Google Meridian Alternatives
TrueLoyal
TrueLoyal is the only AI-powered loyalty solution designed to unify consumer engagement across complex sales channels. By combining advanced personalization, predictive insights, and omnichannel connectivity, it empowers brands to build meaningful, lasting customer relationships. Its platform supports a wide range of loyalty strategies, including referrals, gamified streaks, communities, receipt scanning, and user-generated content campaigns. With dozens of pre-built integrations and an open API framework, TrueLoyal connects seamlessly with eCommerce stores, point-of-sale systems, CRMs, and marketing platforms. Businesses benefit from expert consulting services to design loyalty programs that maximize ROI and meet industry-specific needs. Real-world results include case studies showing up to 154% increases in repeat revenue, 132% improvements in NPS, and measurable boosts in retention. By combining strategic consultation with scalable AI tools, TrueLoyal eliminates silos and provides a holistic view of the customer journey. The platform is trusted by global consumer brands to drive loyalty, advocacy, and growth in today’s competitive landscape.
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MeridianLink Opening
MeridianLink’s Account Opening Software offers a streamlined solution for banks and credit unions looking to enhance their deposit account opening processes. By consolidating digital account opening, identity verification, and e-signatures into one platform, the software ensures a smooth user experience and faster processing times. It offers advanced customization options to adapt to specific institutional needs, such as dynamic workflows that automate manual tasks and flexible decisioning that speeds up application approvals. Seamless integration with core systems enhances operational efficiency and allows for immediate data syncing, while the mobile-first design ensures accessibility across devices. This platform is designed to boost consumer satisfaction by reducing friction during account opening and increasing cross-sell opportunities.
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Robyn
Robyn is a cutting-edge, open-source Marketing Mix Modeling (MMM) tool created by Meta’s Marketing Science team for experimental purposes. It aims to assist advertisers and analysts in constructing thorough, data-driven models that assess how various marketing channels affect business results, such as sales and conversions, while ensuring privacy through aggregated data. Instead of depending on tracking individual users, Robyn delves into historical time-series data by integrating marketing expenditure or reach information—encompassing ads, promotions, and organic initiatives—with performance indicators to evaluate incremental impacts, saturation effects, and carry-over dynamics. The package utilizes a combination of classical statistical techniques and contemporary machine learning methods; it employs ridge regression to mitigate multicollinearity in complex models, performs time-series decomposition to differentiate between trends and seasonal patterns, and incorporates a multi-objective evolutionary algorithm for optimization. This innovative approach allows businesses to gain deeper insights into their marketing effectiveness and make more informed decisions based on robust analysis.
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Haus
Haus is a cutting-edge marketing science platform that provides brands with the ability to accurately assess the true business effects of their advertising campaigns, whether conducted online or offline, by utilizing automated incrementality experiments. It features innovative products such as GeoLift for geographic incrementality testing, Causal Attribution for regular incrementality assessments, and the soon-to-be-released Causal MMM for media mix modeling driven by incrementality. These advanced tools empower users to quickly design and execute experiments within minutes, receive results in as little as two weeks, and enhance their marketing strategies through daily incrementality insights. Furthermore, Haus is committed to offering privacy-conscious solutions that avoid the use of pixels, cookies, or any personally identifiable information, which ensures adherence to the latest privacy regulations. As the landscape of digital marketing continues to evolve, Haus remains at the forefront, equipping brands with the necessary tools to navigate these changes effectively.
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Pricing
Pricing Starts At:
Free
Free Version:
Yes
Company Details
Company:
Google
Year Founded:
1998
Headquarters:
United States
Website:
developers.google.com/meridian
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Webinars
Training Videos
Customer Support
Business Hours
Online Support
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