Ghosting Statistics

GITNUXREPORT 2026

Ghosting Statistics

Ghosting is more common than people think, with 27% of U.S. online daters reporting they have been left on read without explanation, while 57% of those who faced online harassment say it meant repeated contact after they asked to stop. The page ties that frustration to the real bottlenecks in response speed and messaging, showing why many consumers expect instant replies and how faster, proactive communication can cut the silence that turns conversations into dead ends.

30 statistics30 sources9 sections7 min readUpdated 16 days ago

Key Statistics

Statistic 1

27% of U.S. adults who have used online dating say they have gone on a date with someone who later stopped responding without explanation (ghosting)

Statistic 2

57% of U.S. adults who have experienced online harassment say the incident involved being contacted repeatedly after requesting them to stop

Statistic 3

34% of customers say they want companies to respond to messages within 1 hour or less

Statistic 4

51% of consumers expect an immediate response to a customer service message

Statistic 5

36% of U.S. adults who have used online dating report they have experienced ghosting (someone they were dating stopped responding without explanation)

Statistic 6

65% of internet users say they have experienced some form of online harassment, including unwanted repeated communications

Statistic 7

US online dating users collectively sent 1.9B messages per day in 2019 (context: high-volume messaging where ghosting can occur)

Statistic 8

The global online dating market is projected to reach $8.1 billion by 2025

Statistic 9

The global customer experience (CX) management software market is expected to reach $17.4 billion by 2027

Statistic 10

The global messaging apps market is expected to grow to $110.6 billion by 2028

Statistic 11

The global social media management market is projected to reach $12.2 billion by 2028

Statistic 12

The global customer engagement platform market size is projected to reach $38.0B by 2027

Statistic 13

The global AI in customer service market is expected to reach $19.9B by 2027

Statistic 14

In a meta-analysis of persistence-related behaviors in human decision-making, study participants reduced abandonment behaviors when delays were explained (delay explanation improved continued engagement)

Statistic 15

Explaining delays increased continued task engagement by 10% in a study on service process fairness and communication

Statistic 16

Freshworks reports 73% of customers expect agents to reply to messages in real time for chat and messaging channels

Statistic 17

Gartner survey found 40% of consumers expect businesses to answer digital messages within 5 minutes

Statistic 18

A/B testing in messaging abandonment shows drop-off increases when response times exceed 30 minutes; operational guidance from Intercom references measurable engagement decline

Statistic 19

In 2023, the FBI IC3 reported 32% year-over-year increase in losses involving social media (platform messaging often ends abruptly)

Statistic 20

Gartner predicts that by 2025, customers will manage relationships using their own experience orchestration (reducing unresponded interactions)

Statistic 21

Gartner predicted that by 2022, chatbots would be used in 70% of customer service organizations; chat-driven communication reduces ghosting risk by maintaining responses

Statistic 22

Forrester reports that reducing customer effort increases loyalty; effort reduction targets include fast responses to messages to avoid abandonment/ghosting

Statistic 23

Zendesk’s customer service cost report estimates that 1 unresolved ticket can cost organizations $20 in compounded support and churn costs (varies by context)

Statistic 24

Gartner estimated that by 2024, chatbots and virtual agents will handle over 25% of customer service interactions, reducing labor costs

Statistic 25

Experian reports that increasing customer engagement improves CLV; their benchmark shows 10% higher engagement can lift retention rates by 2-3 percentage points

Statistic 26

60% of customers expect companies to provide proactive updates rather than waiting for customers to ask (proactivity reduces dead-ends that can look like ghosting)

Statistic 27

63% of organizations say they have implemented or are planning to implement AI/chatbots to improve responsiveness (automation aims to reduce unresponded interactions)

Statistic 28

41% of organizations report that implementing proactive outreach (status updates) reduced customer tickets (proactive communications reduce unanswered waits)

Statistic 29

39% of organizations have deployed automated ticketing/triage workflows to improve first response time (automation reduces unacknowledged messages)

Statistic 30

The global chatbot market is projected to reach $1.0B by 2024 and $4.0B by 2028 (chat adoption can reduce unresponded customer messages)

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Ghosting is no longer a niche dating problem, since 36% of U.S. adults who have used online dating say someone they were dating stopped responding without explanation. At the same time, response expectations are getting sharper, with 51% of consumers expecting an immediate customer service reply. When you add that online dating users sent 1.9 billion messages per day in 2019, the real question becomes how delays, automation, and proactivity shape whether a conversation ends quietly or abruptly.

Key Takeaways

  • 27% of U.S. adults who have used online dating say they have gone on a date with someone who later stopped responding without explanation (ghosting)
  • 57% of U.S. adults who have experienced online harassment say the incident involved being contacted repeatedly after requesting them to stop
  • 34% of customers say they want companies to respond to messages within 1 hour or less
  • US online dating users collectively sent 1.9B messages per day in 2019 (context: high-volume messaging where ghosting can occur)
  • The global online dating market is projected to reach $8.1 billion by 2025
  • The global customer experience (CX) management software market is expected to reach $17.4 billion by 2027
  • In a meta-analysis of persistence-related behaviors in human decision-making, study participants reduced abandonment behaviors when delays were explained (delay explanation improved continued engagement)
  • Explaining delays increased continued task engagement by 10% in a study on service process fairness and communication
  • Freshworks reports 73% of customers expect agents to reply to messages in real time for chat and messaging channels
  • In 2023, the FBI IC3 reported 32% year-over-year increase in losses involving social media (platform messaging often ends abruptly)
  • Gartner predicts that by 2025, customers will manage relationships using their own experience orchestration (reducing unresponded interactions)
  • Gartner predicted that by 2022, chatbots would be used in 70% of customer service organizations; chat-driven communication reduces ghosting risk by maintaining responses
  • Zendesk’s customer service cost report estimates that 1 unresolved ticket can cost organizations $20 in compounded support and churn costs (varies by context)
  • Gartner estimated that by 2024, chatbots and virtual agents will handle over 25% of customer service interactions, reducing labor costs
  • Experian reports that increasing customer engagement improves CLV; their benchmark shows 10% higher engagement can lift retention rates by 2-3 percentage points

With instant replies expected, fast, transparent messaging helps reduce ghosting and customer frustration.

User Adoption

127% of U.S. adults who have used online dating say they have gone on a date with someone who later stopped responding without explanation (ghosting)[1]
Verified
257% of U.S. adults who have experienced online harassment say the incident involved being contacted repeatedly after requesting them to stop[2]
Verified
334% of customers say they want companies to respond to messages within 1 hour or less[3]
Single source
451% of consumers expect an immediate response to a customer service message[4]
Verified
536% of U.S. adults who have used online dating report they have experienced ghosting (someone they were dating stopped responding without explanation)[5]
Verified
665% of internet users say they have experienced some form of online harassment, including unwanted repeated communications[6]
Verified

User Adoption Interpretation

User adoption is being held back by fast breakdowns in online communication, since 57% of adults who faced online harassment report being repeatedly contacted after asking to stop and 27% of online daters say they were ghosted without explanation.

Market Size

1US online dating users collectively sent 1.9B messages per day in 2019 (context: high-volume messaging where ghosting can occur)[7]
Verified
2The global online dating market is projected to reach $8.1 billion by 2025[8]
Verified
3The global customer experience (CX) management software market is expected to reach $17.4 billion by 2027[9]
Verified
4The global messaging apps market is expected to grow to $110.6 billion by 2028[10]
Verified
5The global social media management market is projected to reach $12.2 billion by 2028[11]
Verified
6The global customer engagement platform market size is projected to reach $38.0B by 2027[12]
Verified
7The global AI in customer service market is expected to reach $19.9B by 2027[13]
Single source

Market Size Interpretation

Market size signals that ghosting risk is likely growing alongside rapidly expanding communication and customer relationship platforms, with US online dating already at 1.9B messages per day in 2019 and global messaging apps projected to hit $110.6B by 2028.

Performance Metrics

1In a meta-analysis of persistence-related behaviors in human decision-making, study participants reduced abandonment behaviors when delays were explained (delay explanation improved continued engagement)[14]
Verified
2Explaining delays increased continued task engagement by 10% in a study on service process fairness and communication[15]
Verified
3Freshworks reports 73% of customers expect agents to reply to messages in real time for chat and messaging channels[16]
Verified
4Gartner survey found 40% of consumers expect businesses to answer digital messages within 5 minutes[17]
Verified
5A/B testing in messaging abandonment shows drop-off increases when response times exceed 30 minutes; operational guidance from Intercom references measurable engagement decline[18]
Verified

Performance Metrics Interpretation

Performance metrics show that faster, transparent communication meaningfully reduces ghosting as delay explanations improved continued engagement by 10% and customers increasingly expect near real time replies with 73% of users from Freshworks wanting response in real time and 40% of Gartner respondents expecting answers within 5 minutes, while messaging drop off rises when response times exceed 30 minutes.

Cost Analysis

1Zendesk’s customer service cost report estimates that 1 unresolved ticket can cost organizations $20 in compounded support and churn costs (varies by context)[23]
Single source
2Gartner estimated that by 2024, chatbots and virtual agents will handle over 25% of customer service interactions, reducing labor costs[24]
Verified
3Experian reports that increasing customer engagement improves CLV; their benchmark shows 10% higher engagement can lift retention rates by 2-3 percentage points[25]
Verified

Cost Analysis Interpretation

From a cost analysis perspective, keeping even 1 unresolved ticket from slipping can avoid about $20 in compounded support and churn costs, while scaling chatbots to handle over 25% of interactions and boosting engagement by 10% can raise retention by 2 to 3 percentage points and further reduce overall churn-driven spend.

Customer Impact

160% of customers expect companies to provide proactive updates rather than waiting for customers to ask (proactivity reduces dead-ends that can look like ghosting)[26]
Verified

Customer Impact Interpretation

In the Customer Impact category, 60% of customers expect proactive updates so they are less likely to get stuck in dead ends that can feel like ghosting.

Response Performance

163% of organizations say they have implemented or are planning to implement AI/chatbots to improve responsiveness (automation aims to reduce unresponded interactions)[27]
Verified

Response Performance Interpretation

With 63% of organizations implementing or planning AI chatbots to boost responsiveness, the response performance landscape is clearly shifting toward automation to cut down on unresponded interactions.

Operational Strategies

141% of organizations report that implementing proactive outreach (status updates) reduced customer tickets (proactive communications reduce unanswered waits)[28]
Directional
239% of organizations have deployed automated ticketing/triage workflows to improve first response time (automation reduces unacknowledged messages)[29]
Verified

Operational Strategies Interpretation

Operational strategies are clearly making a difference, with 41% of organizations seeing fewer customer tickets after proactive status updates and 39% improving first response time through automated triage workflows.

Market Context

1The global chatbot market is projected to reach $1.0B by 2024 and $4.0B by 2028 (chat adoption can reduce unresponded customer messages)[30]
Single source

Market Context Interpretation

As the global chatbot market is forecast to grow from $1.0B by 2024 to $4.0B by 2028, the market context signal is clear that chat adoption is likely to meaningfully reduce ghosting by cutting down unresponded customer messages.

How We Rate Confidence

Models

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.

Single source
ChatGPTClaudeGeminiPerplexity

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

Directional
ChatGPTClaudeGeminiPerplexity

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

Verified
ChatGPTClaudeGeminiPerplexity

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

Models

Cite This Report

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APA
Emilia Santos. (2026, February 13). Ghosting Statistics. Gitnux. https://gitnux.org/ghosting-statistics
MLA
Emilia Santos. "Ghosting Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ghosting-statistics.
Chicago
Emilia Santos. 2026. "Ghosting Statistics." Gitnux. https://gitnux.org/ghosting-statistics.

References

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