Cookie consent pop-ups blocking signups — detect, manage, and optimize UX

Many websites now use cookie consent management platforms (CMPs) or other overlays that inadvertently block or interrupt signups, affecting e-commerce stores, SaaS free trials, news publishers, and lead-gen landing pages. With roughly 160 million active websites and conservative willingness-to-pay estimates of about $100 ARR per site, the addressable market is on the order of $16.0B. Operators and growth teams report single-digit to low-double-digit percentage losses in completed registrations when consent flows are intrusive or misconfigured, creating a measurable revenue leak for businesses that rely on lead capture. You could build a privacy-first SaaS that detects consent and overlay patterns using lightweight client-side ML and DOM heuristics, automatically maps impacted elements (signup fields, CTAs), and offers configurable mitigations such as consent-aware form submission, deferred tracking fallbacks, and CMP orchestration to maintain compliant data capture. Bundled analytics and experimentation tools would quantify consent-related conversion loss, enable A/B tests of consent UI, and surface remediation playbooks so CRO and legal teams can act without manual audits. The market is attractive now because privacy regulation expansion is forcing broader CMP adoption, CRO budgets are rising to recover banner-related conversions, and advances in client-side inference make accurate, privacy-preserving detection feasible. To stand out you must combine robust in-browser detection, tight CMP integrations, and legally defensible measurement while managing challenges such as CMP fragmentation, cross-browser variability, and conservative procurement from legal teams — early partnerships with major CMP vendors and clear ROI evidence (even a small percentage lift in signups scales quickly across sites) will be critical for commercial traction.