Home
ClikBy

Case Study: How an E-commerce Client Saved 45M

Case Study: How an E-commerce Client Saved 45M

Disclaimer: illustrative case

Figures below are an anonymized teaching narrative, not the client's public financials and not a ClikBy SLA or guarantee. Outcomes depend on vertical, budget, sources, and process maturity. Treat this as methodology, not a savings promise.

Situation

A regional fashion e-commerce brand, ~$150k/month performance spend, heavy Meta and Google retargeting. Marketing saw steady CTR, but CRM ROAS did not match ad platforms. Hypothesis: part of the audience was bots from click fraud and CPA partners.

ClikBy rollout process

  • Weeks 1–2: smart links on all paid channels + baseline bot share in Audience.
  • Weeks 3–4: paused two CPA sources with >35% bot clicks; shifted budget toward confirmed traffic.
  • Month 2: removed bot segments from retargeting; retrained look-alikes on confirmed visits.
  • Month 3: Pulse fraud-IP sync to Ads; less wasted spend chasing non-users.

Illustrative outcomes (not guaranteed)

Example narrative after 6 months:

  • Bot click share in paid: ~22% → ~6% (ClikBy Audience).
  • Media spend savings (client team estimate): ~45M RUB cumulative over six months — from cutting junk and cleaner retargeting, not a chargeback module.
  • Promo moderation load: −18% ad-related suspicious traffic tickets (operational effect, not a ClikBy product metric).

ClikBy did not process payments or replace the acquirer's antifraud. All impact — click quality + marketing hygiene.

What you can replicate

  1. Baseline bot % per channel for 14 days.
  2. Pause sources above threshold (client used 30–35%).
  3. Rebuild retargeting on confirmed only.
  4. Monthly CFO report: saved spend ≈ bot_clicks × avg CPC.

Repeating «45M» elsewhere is not guaranteed.

Check click quality with ClikBy

Contact Us

Still have questions?

Have questions about ClikBy? Let's talk.

See beyond the click

Stop guessing who your customers are — know them. Our AI identifies behavioral patterns of high intent to protect your ads and automatically scale revenue.