Birdie ads

This research platform serving 30K+ users thought its feedback process was working. ✔ Multiple feedback sources flowing in ✔ Product and design analyzing inputs But reality was different: Decentralized feedback data Manual sorting consuming hours Hard-to-find patterns With Birdie, Tegus centralized all feedback into one source of truth, reduced noise, and automated categorization. The results? 27h/month feedback analysis saved 300h of calls analyzed in Up to 2x more insights. Ready to turn scattered feedback into real intelligence? Let’s talk.

This financial institution with 6M customers thought it understood the drivers of churn. ✔ Millions of conversations every quarter ✔ Thousands of NPS responses ✔ CX teams reviewing signals But the full picture was missing, and the reality was: Fragmented customer signals Hidden churn patterns Manual analysis slowing decisions In partnership with Birdie, Agibank unified customer data, prioritized 117 opportunities by impact, and accelerated analysis. - 10 percent churn reduction in pilot markets - 80 percent faster feedback analysis. Explore the full case details.

This digital bank with 32M customers thought it understood them well. ✔ Massive volume of feedback ✔ Cross-functional teams reviewing signals But the full picture wasn’t clear. They needed to keep customers active while acquiring new ones, and reality was: Bad App reviews High detractor rates No shared customer understanding We partnered with Neon to shift the focus. The results? 27% improvement in app ratings. 53-57% reduction in detractors across platforms. 20x faster validation of product improvements. Looking to build a customer-first growth engine through unified customer insights? Let’s talk.

This ecommerce platform serving tens of thousands of SMBs thought it understood the signals behind churn. ✔ Multiple feedback sources consolidated ✔ Product and CX reviewing data ✔ Customer complaints monitored But the full picture was missing, and the reality was: Hidden churn causes Missed early signals Slow, manual analysis With Birdie, Olist unified feedback, segmented active vs. churned users, and automated insight discovery. - 90 percent faster churn analysis. - 2 hours to process 6 months of cancellations. Clear, data-driven action plans. See the full Olist case.

This crypto leader with 4M users thought its VoC process was enough to understand customer pain points. ✔ Multiple feedback sources ✔ Monthly VoC committees ✔ CX, Product, and Design reviewing data But the full picture was missing: - Hard-to-access data - Inconclusive insights - Manual reports slowing decisions With Birdie, Mercado Bitcoin unified all feedback, mapped customer journeys, and automated issue identification. The results? 80 percent less time on data analysis. 50 percent fewer contacts for top-priority issues. See the full Mercado Bitcoin case.

This home appliance leader with 70+ years of expertise thought its product development process reflected consumer needs. ✔ Decades of product innovation ✔ Strong focus on durability and practicality But the full picture was missing, and the reality was: - Slow trend identification - Limited visibility across retailers - Manual feedback analysis Birdie helped Atlas unify consumer feedback from 14 major retailers and identify opportunities, and product needs through AI-driven insights. The results? 70 percent faster trend detection. Real-time analysis of thousands of reviews. See the full Atlas case