I particularly like Samhub's omnichannel data aggregation experience, which does not rely on technical personnel and is very convenient, especially friendly to marketers without a technical background. Its cross-platform audience management capability is also a major advantage, breaking the "audience silos" of different advertising platforms and significantly improving targeting accuracy. Samhub achieves automated integration of marketing and sales loops, with potential leads generated by ads automatically synchronized to the CRM and tagged, helping marketing teams optimize their campaign strategies. Samhub's real-time optimization and reporting capabilities are also a highlight, supporting real-time monitoring of cross-channel campaign performance to avoid budget waste. Review collected by and hosted on G2.com.
Core deficiencies: The attribution model is relatively basic (mostly last-click and linear attribution), lacking flexible configuration for custom attribution weights and multi-touch attribution (MTA) across all channels, making it difficult to meet the attribution needs of long-cycle conversions (such as in high-ticket industries like education and B2B). Additionally, the data cleaning rules are relatively fixed, with poor compatibility for non-standard data sources (such as niche e-commerce backends and custom form data), leading to potential data loss or format errors. The initial setup has significant bottlenecks for non-standard/localized tools or advanced configurations, generally showing a characteristic of "fast basics, slow advancement." Review collected by and hosted on G2.com.
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This review has been translated from Chinese using AI.



