Screening tips, cross-border marketing, and platform guides.
KK-DATA This article provides a horizontal comparison of export field differences among mainstream screening platforms such as 007data and thdata, focusing on tgid, wsid, CSV output format, data integrity, and usability, to help overseas operations teams select the most suitable data tool for batch customer acquisition export needs.
KK-DATA Master iMessage marketing screening strategies for precise outreach to users in the US and Canada. This article covers the complete iMessage outreach process, from number filtering to activity detection and anti-ban techniques. After adopting screening strategies, the activation rate increased from 30% to 80%, the risk of account bans dropped by 60%, and the reply rate significantly improved while the rejection rate decreased.
KK-DATA Learn how to create a TG activation task (Telegram registration detection) in the KK-DATA console, from login, uploading numbers, selecting detection type to exporting results, step by step to complete Telegram screening. Supports batch detection, activity, gender identification, per-item billing. Start now.
KK-DATA How to import screening results into your CRM system? This article details export format selection, field mapping rules, and integration steps to help you efficiently sync valid customer data from the screening system to your marketing platform. Covers import practices and data cleaning checklists for mainstream CRMs such as HubSpot, Zoho, and Fxiaoke, avoiding duplicate numbers and field mismatches to boost marketing efficiency.
KK-DATA In overseas customer acquisition, how to efficiently submit, monitor progress, and receive timely notifications for million-level number screening tasks? This article provides an in-depth review comparing Digital Planet and KK-DATA, examining differences in task submission process, progress monitoring, Telegram notifications, and other dimensions to help teams choose the right batch number screening tool, avoiding idle runs and duplicate waste.
KK-DATA Wondering if your Telegram list is worth investing in? This article explains the core dimensions, quantification methods, and practical steps for scoring TG effective data, helping you quickly assess list quality, optimize lead generation efficiency, and avoid invalid filtering. Suitable for overseas marketing, community operations, and batch outreach scenarios.
KK-DATA The effectiveness of Telegram varies significantly across different countries/regions, directly impacting customer acquisition costs and outcomes for overseas expansion. This article provides an in-depth analysis of Telegram registration and activity rates in major global regions, combined with country-specific number filtering and number segment strategies to help you optimize your number pool. Includes a practical guide to KK-DATA to help you precisely target high-value users.
KK-DATA Detailed comparison of CSV and TXT export formats for 007 data screening results, teaching you how to efficiently import into CRM systems. Understand the differences between KK-DATA export process and 007 data, optimize the overseas customer acquisition data pipeline, avoid format pitfalls, and master the best practices for 007 data export formats.
KK-DATA Using generated numbers directly may lead to low effectiveness and platform rejection risks. This article provides a detailed explanation of quality spot-checking methods after number generation, including random sampling, stratified sampling, and cross-platform cross-validation, along with scientific sample size recommendations. It helps overseas teams efficiently estimate effectiveness, reduce screening costs, and achieve quality control.
KK-DATA This article starts from Google and Bing search intent, deconstructs the real needs behind keywords related to 'number screening source', and objectively compares the differences among three major platforms—007data, thdata, and KK-DATA—in terms of Telegram/WhatsApp activity detection, billing models, and data export, helping you select the right screening source to improve lead data quality.