Key Takeaways
- CES in tech support averages 2.8 out of 5, with leaders below 2.5
- 72% of tech customers switch after high-effort support experiences scoring CES 4+
- Self-service portals reduce CES by 40% in SaaS tech firms
- Global tech NPS average for leaders is 52 in 2023, up 8 points from 2020
- Tech firms with NPS above 50 retain 89% of customers annually
- SaaS companies average NPS of 41, with enterprise segment at 48
- Tech retention rates average 78% for top CX performers versus 55% for laggards
- Personalized tech experiences boost retention by 23% in SaaS subscriptions
- Churn rate in tech averages 5-7% monthly for B2B, dropping to 3% with NPS>50
- 73% of customers in the tech industry consider customer experience a key factor in their purchasing decisions, up from 65% in 2021
- Tech companies with high CSAT scores above 85% see 1.5x higher revenue growth compared to those below 70%
- 62% of tech users abandon brands after just one poor customer experience interaction
- Average first response time in tech support is 12 hours, leaders under 1 hour
- Resolution time averages 4 days in enterprise tech, cut to 1 day with AI triage
- 70% of tech tickets resolved via self-service in mature orgs
Better tech support and self service cut effort and raise satisfaction, while strong NPS drives retention.
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Support Metrics
Support Metrics Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Leah Kessler. (2026, February 13). Customer Experience In The Tech Industry Statistics. Gitnux. https://gitnux.org/customer-experience-in-the-tech-industry-statistics
Leah Kessler. "Customer Experience In The Tech Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/customer-experience-in-the-tech-industry-statistics.
Leah Kessler. 2026. "Customer Experience In The Tech Industry Statistics." Gitnux. https://gitnux.org/customer-experience-in-the-tech-industry-statistics.
Sources & References
- Reference 1SALESFORCEsalesforce.com
salesforce.com
- Reference 2ZENDESKzendesk.com
zendesk.com
- Reference 3PWCpwc.com
pwc.com
- Reference 4QUALTRICSqualtrics.com
qualtrics.com
- Reference 5FORRESTERforrester.com
forrester.com
- Reference 6TEMKINtemkin.com
temkin.com
- Reference 7GARTNERgartner.com
gartner.com
- Reference 8MCKINSEYmckinsey.com
mckinsey.com
- Reference 9DELOITTEdeloitte.com
deloitte.com
- Reference 10NICEnice.com
nice.com
- Reference 11SUPERNOVAsupernova.io
supernova.io
- Reference 12THINKWITHGOOGLEthinkwithgoogle.com
thinkwithgoogle.com
- Reference 13IBMibm.com
ibm.com
- Reference 14OKTAokta.com
okta.com
- Reference 15NEWZOOnewzoo.com
newzoo.com
- Reference 16STATISTAstatista.com
statista.com
- Reference 17ACCENTUREaccenture.com
accenture.com
- Reference 18SHOPIFYshopify.com
shopify.com
- Reference 19PTCptc.com
ptc.com
- Reference 20DELLdell.com
dell.com
- Reference 21PEWRESEARCHpewresearch.org
pewresearch.org
- Reference 22PARROTANALYTICSparrotanalytics.com
parrotanalytics.com
- Reference 23HOLONIQholoniq.com
holoniq.com
- Reference 24ROCKHEALTHrockhealth.com
rockhealth.com
- Reference 25PROPTECHOUTLOOKproptechoutlook.com
proptechoutlook.com
- Reference 26HOOTSUITEhootsuite.com
hootsuite.com
- Reference 27IEAiea.org
iea.org
- Reference 28CHAINALYSISchainalysis.com
chainalysis.com
- Reference 29BAINbain.com
bain.com
- Reference 30G2g2.com
g2.com
- Reference 31PROPTECHBUZZproptechbuzz.com
proptechbuzz.com
- Reference 32JDPOWERjdpower.com
jdpower.com
- Reference 33TABLEAUtableau.com
tableau.com
- Reference 34HUBSPOThubspot.com
hubspot.com
- Reference 35SLACKslack.com
slack.com
- Reference 36NNGROUPnngroup.com
nngroup.com
- Reference 37SUPERMETRICSsupermetrics.com
supermetrics.com
- Reference 38ALGOLIAalgolia.com
algolia.com
- Reference 39INTERCOMintercom.com
intercom.com
- Reference 40MEDFEVERmedfever.com
medfever.com
- Reference 41AUTH0auth0.com
auth0.com
- Reference 42STRIPEstripe.com
stripe.com
- Reference 43OSANOosano.com
osano.com
- Reference 44SENTRYsentry.io
sentry.io
- Reference 45CANNYcanny.io
canny.io
- Reference 46PADDLEpaddle.com
paddle.com
- Reference 47DATADOGHQdatadoghq.com
datadoghq.com
- Reference 48SERVICENOWservicenow.com
servicenow.com
- Reference 49GENESYSgenesys.com
genesys.com
- Reference 50FRESHWORKSfreshworks.com
freshworks.com
- Reference 51BOLD360bold360.com
bold360.com
- Reference 52TOLUNAtoluna.com
toluna.com
- Reference 53MIXPANELmixpanel.com
mixpanel.com
- Reference 54ATLASSIANatlassian.com
atlassian.com
- Reference 55BMCbmc.com
bmc.com
- Reference 56USERVOICEuservoice.com
uservoice.com







