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How digital filtering technology helps the financial industry accurately target customers
Botim advertising Notice2025-10-24 01:54:42【news】9 people have viewed
IntroductionInteraction frequency and online time filtering help teams target high-value users, increasing social media engagement and ad conversion rates.
Interaction frequency and online time filtering help teams target high-value users, increasing social media engagement and ad conversion rates.
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Do You Only Check "Registration Status" for WA Account Screening?! You Might Be Missing Critical Security Risks!Is Your WA Account Pool Secure?! It's Time to Launch In-Depth Screening!It's Time for "Survival of the Fittest" in Your WA Account List! Here Comes the Intelligent Screening Guide!
Inefficient Multi-Platform Customer Operation? ITG Global Customer Operation Tool Empowers in Multiple Dimensions to Achieve Refined Growth!Stuck in a Cross-Border Marketing Bottleneck? ITG Global Marketing Tool Connects the Full Link to Unlock New Growth Drivers!
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Solving the Inefficiency of Telegram User Screening: Avoid 6 Major Pitfalls, ITG Tool Helps You Achieve Twice the Result with Half the EffortHaving low conversion rates from social media campaigns? The cloud-based control platform uses multi-dimensional filtering based on profile pictures, nicknames, age, and gender to precisely target potential users and enhance marketing effectiveness.
Sufficient cross-platform operations? The system centrally manages Telegram, WhatsApp, LinkedIn, and Facebook accounts for efficient multi-platform management.Want to precisely target your ads? The system offers customized and detailed screening modes to filter target customers by age, gender, interaction frequency, and online time.
Finding difficulty in batch exporting across multiple platforms? The cloud control system supports one-click export of screening results, enabling efficient management across Telegram, WhatsApp, Facebook, and LinkedIn.Is social media marketing difficult to accurately target? The cloud control system filters potential users based on interaction frequency and online time, ensuring precise coverage of high-value customers.
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