GoSquared

Problem: Marketing sees more signups from recent A/B tests, but sales complains lead quality is inconsistent. They can’t easily connect experiment exposure to downstream behavior in GoSquared. Solution: Convert sends experiment and variation data into GoSquared automatically. Teams segment funnel and engagement metrics by variation to see which experience produces higher-intent behaviors and better-qualified leads. Outcome: Marketers prioritize and scale only the variants that drive both conversions and quality engagement, improving pipeline value and reducing wasted ad spend on low-quality leads.

Problem: Support and sales teams use GoSquared live chat but treat all visitors the same. They lack visibility into which A/B test experience a visitor is seeing when they start a conversation. Solution: With Convert data in GoSquared People profiles, agents see each visitor’s active experiments and variations. Teams tailor chat scripts and offers based on the specific experience a user is in. Outcome: Live chat becomes context-aware, boosting chat-to-sale conversion rates and reducing time-to-resolution as agents respond with messaging aligned to the visitor’s on-site experience.

Problem: Growth teams wait for scheduled reports to spot losing variants. By the time they notice drops in engagement or key events, the test has already cost revenue. Solution: Convert pushes experiment and variation events into GoSquared’s Now dashboard. Teams monitor real-time traffic, engagement, and goal events by variation and quickly spot anomalies. Outcome: Marketers pause or adjust underperforming variants within hours instead of weeks, protecting revenue and shortening the feedback loop for experimentation decisions.

Problem: Email and product teams can’t see which tests a user has experienced, so follow-up campaigns ignore valuable context about what messaging or layouts the user responded to. Solution: Convert traits and experiment memberships are synced into GoSquared People profiles. Teams build segments based on past variation exposure and on-site behavior to trigger tailored nurture flows. Outcome: Visitors receive follow-ups that reinforce the winning experience they saw, increasing email engagement, return visits, and long-term conversion rates from experimentation-driven traffic.

Problem: eCommerce teams see uplift in checkout conversions from Convert tests, but can’t easily connect this to browsing behavior, cart actions, and repeat visits tracked in GoSquared. Solution: Convert automatically passes eCommerce events and traits into GoSquared, tagged with experiment and variation. Teams analyze add-to-cart, checkout steps, and revenue by variation in one place. Outcome: They identify which variants improve not just immediate purchases but also average order value and repeat behavior, enabling more confident rollouts and better merchandising decisions.

Problem: Teams want to slice GoSquared analytics by complex combinations of traits, events, and test participation, but fear the overhead of custom tagging and manual field mapping. Solution: Once tracking codes are installed, Convert automatically translates visitor traits and events into GoSquared. Optional custom event snippets cover edge cases without re-engineering tracking. Outcome: Marketers quickly build rich segments—such as high-LTV users in specific variants—without developer bottlenecks, accelerating insight generation and experimentation velocity.