Best Retail Intelligence Software for Google Ads

Find and compare the best Retail Intelligence software for Google Ads in 2026

Use the comparison tool below to compare the top Retail Intelligence software for Google Ads on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Lexer Reviews
    Lexer is the Customer Data & Experience Platform helping brands like Quiksilver, Igloo, Nine West, Rip Curl, Supergoop!, and more drive incremental sales from improved customer engagement. As the only CDP built specifically for retail, Lexer combines your customer data from any system into a single view of the customer and enriches it with predictive analytics, third-party data, and custom surveys. As your all-in-one hub for marketing, ecommerce, retail, and service, Lexer enables every team to independently gain customer insights, segment audiences, orchestrate personalized campaigns, improve service, and measure performance against key metrics and business KPIs. With a level of care and commitment unique in the SaaS industry, our Success team helps customers develop the technical know-how, process efficiencies, and transformational mindset they need to maximize Lexer’s value. Lexer has: > Driven 15x higher campaign revenue than benchmarks [Rip Curl] > Delivered 600% ROI for total campaign performance [Wondercide] > Decreased acquisition costs by 50% [Black Diamond] > Increased revenue from paid channels by 5x [Brand Collective] > Improved email engagement up to 270% [Harris Scarfe]
  • 2
    EPICA Reviews
    Through a strategic alliance, EPICA has transitioned its prediction platform to Azure, the cloud solution provided by Microsoft, which allows our clients and suppliers to access EPICA’s powerful data science tools securely and instantly. Businesses are leveraging the EPICA Platform along with Sophia® AI to stay ahead of their rivals effectively. Our seamless implementation process enables you to easily merge with your existing technological infrastructure. By recognizing patterns, you can foresee your customers' future purchasing behaviors with remarkable precision. Gain insights into the likelihood of each shopper making a purchase or even create your own audience to evaluate their propensity to act on specific products. This personalized approach enhances the customer experience, rewarding them for the data they provide. Offer a unified and engaging experience across both your physical store and digital advertising campaigns. The key to achieving such precise predictions lies in the rich quality and volume of data that feeds into the AI engine's learning process, which continuously improves its predictive capabilities. By harnessing these insights, companies can foster stronger relationships with their customers.
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