Further cross-channel AI marketing applications

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Rina7RS
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Joined: Mon Dec 23, 2024 3:42 am

Further cross-channel AI marketing applications

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Cofit also leveraged conversational marketing and A/B testing to continue optimizing its message formats by finding the messages and promotions that were most effective in attracting customer interest. These tests enabled Cofit to more accurately pinpoint customers’ needs and offer more tailored plans.

Cofit also utilized its health points and tiered membership programs to deliver personalized messages to different members. This increased customer stickiness and loyalty and enabled the brand to build a long-term customer relations management system. Furthermore, Cofit was able to precisely segment its customers based on behaviors, which allowed the brand to design campaigns specific to different segments for better campaign performance and precision. This ensured that customers would always receive the highest quality of service in each interaction, thus enhancing their reliance and trust in the brand and ultimately helping Cofit maintain revenue growth.

Cofit has continued to explore and utilize more AI technologies to bolivia phone number data enhance its cross-channel marketing strategies. In the future, Cofit plans to continue its partnership with Appier and discover more opportunities for AI-driven marketing that will help it engage customers more effectively and further boost revenue growth.

For example, when customers view a product but do not purchase, the brand will be able to maintain communication with these customers via LINE and deliver discounts to push them to checkout. In addition, by encouraging repurchase through its loyalty program and integrating engagement data, the brand can continue to maintain its customer relations and deliver personalized messages based on membership tier.

TapNation activated its high-quality user base and targeted high-LTV players. The collaboration used dynamic video ads to optimize CPC and CVR, focusing on CPA to achieve ROAS. Within 10 days of a 1.5-month learning period, TapNation achieved a 130% ROAS. Continuous optimization of the high-ROI user model ensured sustained and stable ROAS, significantly shortening the investment recoup period compared to classic SDK networks.
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