A question buyers ask AI

How do customer success tools compare when it comes to session replay, like filtering, frustration signals and privacy masking of sensitive fields?

Measured in 1 answer, last on Nov 11, 2026. Only the passages that name a brand are shown.

Brands in the answers

BrandNamed inRecommended inPositiveAvg. position
Fullstory100%100%100%1
LogRocket100%100%100%2
Contentsquare100%100%100%3
PostHog100%100%100%4
Hotjar100%0%0%—

Where each answer names a brand

Answer 1 · Nov 11, 2026 · 9 sources cited
Fullstory#1Recommendedpositive
“Fullstory is particularly strong when customer success teams need to understand why customers are struggling.”
+ behavioural analysis

“Fullstory is particularly strong when customer success teams need to understand why customers are struggling.”

+ session filtering

“Search by user, session, URL, events and behavioural activity.”

+ frustration signals

“Frustrated Sessions combines multiple signals to surface particularly problematic sessions.”

+ privacy masking

“Private by Default supports masking text before capture.”

+ privacy masking and exclusion

“Fullstory supports exclusion, masking and unmasking.”

LogRocket#2RecommendedSite citedpositive
“LogRocket is particularly useful when customer success and engineering teams need to work together.”
+ session search and filtering

“More than 50 session search and filtering options.”

+ technical troubleshooting

“Inspect console logs, network requests and performance information.”

+ AI session summaries

“Galileo Highlights uses AI to identify and summarise important session moments.”

+ privacy masking

“LogRocket states that masked information is not displayed in replays or sent to its servers.”

Contentsquare#3RecommendedSite citedpositive
“Contentsquare combines session replay with broader digital experience analytics.”
+ experience analytics

“Contentsquare combines session replay with broader digital experience analytics.”

+ session filtering

“Sort recordings by session duration, activity and frustration score.”

+ frustration signals

“It also allows teams to jump directly to the moment where frustration occurred.”

+ mobile privacy masking

“Mobile masking is applied on-device before data leaves the user's device.”

PostHog#4RecommendedSite citedpositive
“PostHog is attractive for companies wanting session replay alongside product analytics.”
+ event-based analysis

“Filter by events, properties, activity counts and feature flags.”

+ frustration signals

“Detect sessions with multiple rage clicks or exceptions.”

+ product analytics integration

“Connect replays with exceptions and product usage.”

+ privacy masking

“Masked data is not sent to PostHog.”

Hotjarmixed
“Hotjar is worth considering for teams primarily interested in qualitative feedback, website usability and understanding visitor behaviour.”
+ qualitative feedback

“Its main strengths are session recordings, heatmaps and feedback surveys.”

− advanced frustration analysis

“However, I would not automatically consider it equivalent to Fullstory or Contentsquare for advanced frustration analysis.”

− dead-click detection

“More limited”

− error detection

“More limited”

− AI session summaries

“More limited”

Sources the answers cite

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