Case studies — Real customers, verified results | FeedGuardians

真实客户。 真实数据。
品牌认证。

四个深入的案例研究。保护了超过€1.4M的广告支出。每个试点都与客户自己的营销团队每周审查一次——本页面上的每一个数字都得到了他们的确认。

€1.4M+
Ad spend protected
4
Brands featured
54k+
Comments handled
> 97%
Classifier precision

€440,000 of ad spend protected on the most comparison-shopped market in Europe.

Slovenian wellness brand serving 3M customers across SI, HR, AT and DE. ~€420k/month in Meta ads. 12-week pilot focused on competitor-mention defense and multilingual auto-reply.

+34%
ROAS lift on cold traffic
−41%
CPL · €5.40 → €3.20
24,800
comments hidden
Miha Geršič
Golden Tree homepage above the fold — Postanite član VIP kluba, 4.9★ across 355,896 verified reviews, 3M+ customers

$400,000 of ad spend kept out of the parenting-debate comment section.

Digital parenting brand running ~$260k/month in cold-traffic Meta ads for 28-day challenges and ADHD kits. Featured in TEDx, BBC, Forbes.

+44%
ROAS lift
−38%
CPL · $18.40 → $11.40
14,800
toxic comments hidden
Spela Repovs
Strategic Parenting homepage above the fold — Elevate Your Parenting with Expert-led Support For Every Stage, Age, and Budget

€1.18M of bookings recovered by replying to Instagram comments in 47 seconds.

European tour operator selling small-group hiking, cycling and yacht trips across 25+ countries. Five-language audience. Impersonator scammers were replying to viral comments faster than the internal team could.

€1.18M
attributed to social
4.6×
qualified inquiries / month
92%
impersonator scams blocked
Tina Okršlar
World Discovery homepage — small-group hiking, cycling and yacht tours across 25+ European countries
NiceToMeetRead case study

Protecting a 45+ audience from romance scammers without breaking the brand promise.

Friendship-meetup service matching adults 45+ into small groups for weekly in-person dinners. Their audience is exactly who romance and lonely-hearts scammers target.

$78,400
new MRR / month
5.1×
qualified inquiries
89%
predator comments blocked
Spela Repovs
NiceToMeet homepage — Make new friends 45+ over dinner, weekly in-person small groups
这些数据是如何测量的

每个案例研究使用12周的试点窗口,以前一个日历季度作为比较基准,保持付费支出在±5%以内。ROAS、CPL和转化指标来自客户自己的归因堆栈(Meta Ads Manager、Shopify、Trustpilot、内部CRM)。评论分类准确性在试点期间每周由品牌抽样和审查,精度超过97%。

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