Companies that use Survicate

Source: Analysis of 100 job postings that mention Survicate

I analyzed these 26 job postings and found that Survicate buyers are primarily individual contributors rather than leadership roles. Customer Success Specialists represent 12% of roles mentioning Survicate, followed by Events Managers (4%), UX Researchers (4%), and Customer Insights Analysts (4%). The remaining 76% spans diverse functions including marketing, operations, client onboarding, and technical support roles. This suggests Survicate purchasing decisions likely come from Customer Success, CX, or Product teams looking to equip their frontline teams with feedback collection tools.

On the day-to-day usage side, I noticed practitioners using Survicate for collecting customer feedback at critical touchpoints. One onboarding specialist role specifically mentions using Survicate to "collect client feedback after each interaction," while operations roles reference gathering insights through "NPS surveys and app store reviews." The tool appears in workflows for customer service teams, UX researchers conducting user testing, and events coordinators managing attendee feedback. These users need quick, accessible ways to capture voice of customer data without heavy technical lift.

The pain points emerging from these postings center on understanding customer needs and reducing churn. Companies are looking to "turn feedback into action" and "transform experiences across healthcare," as one insights analyst role states. Another position emphasizes making "customers so happy they stick around and keep buying from us" by using "data, feedback, supplemented with creativity." These organizations want to instill "customer-centricity into the corporate DNA" and need lightweight survey tools that empower non-technical teams to gather actionable insights quickly.

Source: Analysis of tech stacks from 335 companies that use Survicate

I noticed that Survicate users are digital-first companies obsessed with understanding user behavior and optimizing experiences in real-time. The combination of advanced personalization tools like Braze and Salesforce Marketing Cloud Personalization alongside analytics platforms like Parsely and Chartbeat tells me these are sophisticated digital publishers, media companies, and content-driven businesses. They're not just collecting feedback, they're using it to make immediate changes to how they engage audiences.

The pairing with Optimizely Web Experimentation is particularly telling. These companies are running continuous A/B tests and want customer feedback to inform what experiments to run next. They're closing the loop between what users say and what they test. The strong correlation with Parsely and Chartbeat makes perfect sense for media companies that need to understand content performance minute by minute. They're likely using Survicate to ask readers why they're leaving articles or what topics they want more of. Braze appearing so frequently suggests these companies are orchestrating complex, multi-channel campaigns and want feedback to refine their messaging across email, push, and in-app channels.

The full stack reveals marketing-led organizations that treat audience engagement as a competitive advantage. These are likely growth-stage companies with mature marketing operations, not early startups. They've moved beyond basic analytics and are investing in the entire optimization stack. The presence of audience management tools like Lotame indicates they're monetizing through advertising or building detailed audience segments for personalization. They're data-driven but recognize that quantitative metrics alone miss the "why" behind user behavior.

Source: Analysis of Linkedin bios of 335 companies that use Survicate

I noticed that Survicate's customers span an incredibly wide range of industries, but they share a common thread: they're customer-facing businesses where the end-user experience directly impacts revenue. I see automotive dealerships selling cars, media companies producing news and entertainment content, B2B SaaS platforms serving specific professional needs, real estate marketplaces connecting buyers and sellers, and consumer brands in everything from pet food to telecommunications. These aren't backend infrastructure companies. They're businesses where understanding customer sentiment and behavior is mission-critical.

The maturity level varies significantly. I see early-stage startups with Series A funding and 11-50 employees alongside massive enterprises with 10,000+ employees and established market positions. However, the majority fall into a sweet spot: growing companies with 50-500 employees that have proven their model but are still scaling. Many are B Corps, have recent funding rounds, or describe themselves as "leading" or "fastest-growing" in their category. These are companies in motion, not static organizations.