Lock on cross-fire target

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Lock on cross-fire target

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Analyzing consumer data can surface visitors who have visited the website but have not placed an order, helping you to conduct personalized remarketing ads . For example, if John once browsed the jacket on the website but did not buy it, you can attract him by placing ads for the same style of product after he leaves the website.

Consumers rarely use just one device. Targeting customers across multiple devices helps you target consumers on the right devices and tailor your marketing messages to various touchpoints. However, identifying multiple devices for the same user is often a challenge for marketers. So what should be done? Through AI, you can analyze user data from different australia whatsapp number data 5 million sources and identify different devices owned by the same user with a single cross-screen user pattern. French supermarket chain Carrefour used Appier's CrossX cross-fire advertising solution for cross-fire marketing when it opened an online mall in Taiwan . After identifying a single user's cross-screen behavior, relevant product recommendations are delivered to the user; this operation successfully increased monthly online orders and turnover by 25%.

Avoid ad fatigue

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Exposure frequency control can set the number of times the audience sees your advertisement: if the frequency is too low, it will be difficult for consumers to notice you; on the contrary, if the frequency is too high, it will easily make customers feel annoyed and bored. Not only can a single cross-screen user model help you target customers more accurately, AI can also more accurately evaluate the number of ad exposures to help you optimize the frequency of ad delivery. In addition, while changing the number of ad exposures, you can use AI to formulate the best ad bidding price and estimate the best frequency limit with the highest click-through rate.
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