PSFK iQ

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  • Dabbl

When trust is earned, loyalty is the result. Dabbl’s mission is to cultivate trust between shoppers and brands via content-rich mobile experiences in a mutually-beneficial way. One that creates awareness, drives purchase intent, increased incremental spending at preferred retailers and, ultimately, fosters brand loyalty. Every $1 of loyalty value delivered through the Dabbl platform drives over $3 of incremental shopper spending for retailers. Since 2017, Dabbl has facilitated more than 100 million data-rich consumer engagements and delivered more than $6 million in retail loyalty value through the Dabbl mobile app and its white-label retail solution. Read our case studies at brands.getdabbl.com to learn more about some of the many brands Dabbl helped engage with high value shoppers to drive loyalty and ROAS. Download the app for free (iOS or Android) to check out the Dabbl experience for yourself.

  • LiSA
    LiSA offers a range of social commerce solutions, including shoppable livestreams and interactive product demonstrations.
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  • Wearisama Wearisama
    Wearisma is an AI-driven fashion intelligence platform that enables brands to understand and engage with their customers in real-time.
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  • VST VST
    VST is a cutting-edge technology solutions provider to the retail sector, specializing in helping brands and retailers win with shoppers. Using technology, research methodologies, data science, and machine learning, VST has built a suite of retail solutions that enable brands and retailers to test and validate new ideas, predict performance, and influence the shelf. Their […]
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  • Tenzo Tenzo
    Tenzo is helping to make faster, smarter decisions and improve communication and gross margin.
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  • StorIQ StorIQ
    StorIQ is a retail intelligence platform that helps retailers make data-driven decisions to maximize growth and efficiency.
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  • Spirable Spirable
    Spirable is a pioneering creative performance platform that enables brands and agencies to unlock the power of data-driven video marketing
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