金融科技

SRS Pay：支付平台付费获客规模化

统一归因与 Cortex 驱动的广告优化实现 4.2 倍 ROAS，同时将获客成本降低 38%。

×4.2

ROAS

−38%

CPA

Timeline

Two quarters of weekly optimization

Scope

Paid acquisition, landing pages, merchant sign-up funnel

Constraints

Fintech trust requirements and limited public disclosure of transaction data

挑战

渠道分散，CPA 持续上升

SRS Pay 在 Google、Meta 与联盟网络投放效果广告，但转化数据分散在不同看板中。

缺乏从广告点击到首笔交易的统一漏斗视图，团队在低意向版位上过度投入。

获客成本连续三个季度攀升，而广告支出回报率长期低于目标。

解决方案

Cortex 端到端衡量体系

Cortex 将广告平台、网站分析与支付事件整合为单一归因模型，并提供实时 cohort 报告。

Ads Agent 围绕高 LTV 细分重构 campaign，自动暂停表现不佳的地域与设备组合。

在 Cortex Monitor 中重建落地页 A/B 测试，使信息传递符合金融科技用户所需的信任信号。

Process

01Audited attribution gaps and rebuilt the funnel view from ad click to verified merchant action.

02Restructured campaigns around high-LTV segments, pausing weak geo/device combinations.

03Ran landing-page experiments and moved budget only after cohort signals improved.

成果

高效扩张，告别猜测

两个季度内，SRS Pay 实现 4.2 倍综合 ROAS，CPA 降低 38%，认证商户注册量增长 62%。

Proof note: Figures are reported from the project workspace for the stated period. Source dashboards and merchant identifiers are not public.

No public client quote is attached to this case yet, so we do not invent one.

技术栈

●Cortex 归因与 cohort 分析
●Google Ads 与 Meta Ads + Cortex Ads Agent
●Mixpanel + 服务端转化 API
●Cortex Monitor 落地页实验

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