Competitive Net Promoter Benchmark Survey

Identifies which customers have results worth turning into a case study, testimonial, or video story, and gauges their willingness to be featured. The AI follow-up interview goes past generic praise to reconstruct the specific before-and-after — the numbers, the turning point, the proof — that makes a customer story credible to a stranger.

Measures how satisfied business customers are with your company as a vendor — account management, reliability, support, and pricing value — plus renewal intent. An AI follow-up interview digs into the real reasons behind their satisfaction and renewal score instead of leaving you with a bare number.

Measures how satisfied repeat customers are with their most recent purchase or interaction, what keeps them coming back, and early signs of switching risk. An AI follow-up interview digs into the real story behind their satisfaction rating and any hesitation to stay loyal, surfacing specifics a scale alone can't capture. Built for retention and CX teams tracking existing customers rather than first-time buyers.

Captures how customers rate your product, support, and value versus what actually drives their loyalty or churn risk. Combines a satisfaction and recommendation benchmark with a best-worst prioritization of improvement areas, plus an AI follow-up interview that digs into the story behind each score so you know exactly what to fix first.

Measures how well your brand's support holds up on social channels — response speed, resolution, agent tone — for customers who reached out via Twitter/X, Facebook, Instagram, or DM. An AI follow-up reconstructs the actual conversation thread to surface what closed loops fast and what left customers hanging.

Evaluates the full moving experience — quote accuracy, how carefully the crew handled belongings, on-time performance, and how damage or loss was resolved — for moving and relocation companies. An AI follow-up digs into what actually happened during the move that a rating alone can't capture.