Compare InMarket to Lifetimely head to head on Blurbs

Blurbs comparison of InMarket and Lifetimely

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

Full Blurb

InMarket

"Links brands with consumers in real time"

Focused on Audience Targeting & Data Activation .

InMarket enhances marketing by using real-time data to connect brands and consumers right when it matters. They optimize ad spending and drive measurable growth through real-time marketing techniques. InMarket's platform enables marketers to effectively bridge consumer intent with actual purchases, creating seamless connections across various media channels.

Data-Driven Insights

INMARKET claims that their platform is powered by 60+ Petabytes of data to help discover what matters most for actionable consumer insights.

Real-Time Optimization

INMARKET claims that their real-time optimization engine improves in-flight media effectiveness by up to 10x compared to industry benchmarks.

Precise Targeting

INMARKET claims that their AI-Driven Predictive and Real-Time Omnichannel Activation generates average CTRs 5x higher than industry benchmarks.

Full Blurb

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.