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Learn about how these Audience Data & Enhancement vendors stack up against each other by checking out our blurbs, claims, and case studies.

SmartRecognition
"Identifies anonymous website visitors for targeted marketing"
Focused on Customer Data Infrastructure & Identity Resolution .
Smart Recognition identifies anonymous website visitors, allowing businesses to remarket directly. This tool captures and converts anonymous traffic into leads, feeding those details into CRM or email systems. By leveraging A.I. and big data, businesses can conduct cost-effective retargeting across major networks like Facebook and Google, improving their reach.
Record Breaking ROI
Smart Recognition claims that with the ability to remarket to much more traffic via email and remarketing campaigns, clients generate a much larger and faster ROI.
Identify More Opportunities
Smart Recognition claims to unlock the potential to identify 10x more opportunities by actually identifying anonymous website visitors to retarget them.
Grow Email List
Smart Recognition claims to be the fastest method to grow an email list by capturing emails of up to 40% of anonymous website visitors instead of just 2-5%.
Lifetimely
"Predict customer spending with analytics and AI"
Focused on Customer Data Infrastructure & Identity Resolution .
Lifetimely helps marketers by providing precise insights into customer behavior and purchase habits. It connects various data sources to deliver daily profit and loss reports, predictive LTV modeling, and industry benchmark comparisons. This helps marketers make informed decisions backed by real data without manual calculations.
User-friendly and insightful design
Lifetimely claims that their platform provides the most user-friendly customer behavior analytics and LTV predictions for Shopify.
Comprehensive data integration
Lifetimely claims that their app integrates data from all sources ensuring complete and accurate business insights.
In-depth customer insights
Lifetimely claims that their predictive LTV modeling offers unmatched forecasts of customer spending and segment risk.