Cookiebot by Usercentrics

Problem: A large EU retailer sees 35–40% of visitors declining or ignoring cookie consent, crippling analytics and A/B test sample sizes while legal insists banners must remain fully compliant. Solution: They connect Cookiebot with Convert and run controlled A/B tests on banner copy, design, and CTAs. Convert only fires after Cookiebot consent, and consent actions are tracked as primary goals. Outcome: Consent rates climb by 20–30%, restoring reliable traffic volumes for experimentation. The team proves which UX patterns work best, while legal is reassured that all tracking respects explicit consent.

Problem: A SaaS company’s A/B tests are polluted by users who never consented to tracking, leading to under-reported conversions, skewed lift calculations, and mistrust in experimentation results. Solution: Using Cookiebot’s OnDecline and Convert’s _conv_eignore, they automatically exclude non-consenting visitors from all experiments and tracking. Only users who accept cookies enter test audiences and goals. Outcome: Experiment data becomes cleaner and more trustworthy. Conversion lifts are easier to detect, stakeholders regain confidence in test outcomes, and the team can scale their CRO roadmap without compliance risk.

Problem: A global publisher uses one generic Cookiebot banner for all EU markets and devices, but mobile bounce rates spike and some countries show especially low consent, hurting ad revenue and personalization. Solution: They use Convert to create localized and device-specific banner variants—changing language tone, layout, and placement—while Cookiebot enforces consent logic. Convert tracks consent as segmented goals by country and device. Outcome: Mobile and country-specific consent rates improve, recovering monetizable traffic. The team builds a playbook of best-performing consent experiences per region while staying aligned with GDPR and ePrivacy rules.

Problem: A performance marketing team must comply with IAB TCF and use Google Consent Mode, but they struggle to understand how consent choices impact attribution, experiment performance, and media optimization. Solution: They integrate Cookiebot, Convert, and Google Consent Mode so tags and Convert tracking fire only under the right consent signals. Consent states are tracked as goals and segments within Convert experiment reports. Outcome: The team gains clear visibility into how different consent levels affect traffic loss, conversion rates, and campaign ROAS. They adjust acquisition and on-site UX to maximize both compliance and performance.

Problem: Marketing treats the cookie banner as a legal necessity, not a lever. They lack insight into how consent UX affects downstream sign-ups, purchases, and audience-building for remarketing. Solution: With Cookiebot and Convert, they test banner messaging that explains value (personalization, better recommendations) and measure not only consent but also post-consent conversions as linked goals. Outcome: They identify consent experiences that increase both opt-in and key business KPIs. The banner becomes an intentional, optimized step in the funnel, preserving audience quality and improving attribution accuracy.

Problem: After a regulatory audit, a financial services brand pauses all A/B testing over fears of non-compliant tracking and potential fines, stalling their optimization roadmap and revenue experiments. Solution: They deploy Cookiebot to control all cookie-setting scripts and connect it with Convert so experiments only run after explicit consent. Non-consenting users are automatically ignored across tests and analytics. Outcome: The brand resumes experimentation with a privacy-first setup that satisfies compliance and security teams. They regain optimization velocity, improve site performance, and avoid legal exposure from improper tracking.