The company improves online shopping by using smart tech to adjust shopping experiences in real time. Their system understands shopper moods and needs, helping stores make more money without needing extra work. This advanced tech focuses on personal interactions without using cookies or personal details, making it safe and effective in boosting sales.
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1.
How do your machine learning predictive behavioral models work and how long does it take to build them?
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2.
Do you only monitor and engage with shoppers on the site or do you also target shoppers off the site?
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3.
Do you have the ability to determine efficacy of each unique message you present to a shopper and to see impression counts of shoppers who received a message?
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4.
Do you offer a reporting tool (for example, reporting dashboard)?
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5.
Can you integrate with other analytic tools such as Google Analytics and Adobe Analytics?
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6.
Can you display both financial and non-financial messages?
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How does your platform display messages to users? (for example, pop-up modal)
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8.
How do you calculate the incremental revenue generated?
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What does the pilot process and pricing look like?
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10.
How can your customers customize campaigns (e.g. messaging, etc.)?