Table of Contents

26 New vs Returning Visitors Statistics for eCommerce Stores

November 7, 2025

Critical data revealing why visitor identification and retention economics determine eCommerce profitability in 2025

The divide between new and returning visitors represents eCommerce's most consequential metric, yet a substantial share of first-time buyers never return for a second purchase. This retention gap costs brands billions annually, particularly as acquiring new customers costs 5-25 times more than retaining existing ones. The solution lies in converting anonymous visitors into identifiable customers through first-party data capture. Opensend Connect solves this challenge by identifying high-intent visitors in real time with a 73% USA shopper match rate, transforming anonymous traffic into owned customer relationships before visitors leave your site.

Key Takeaways

  • Retention delivers exponential returns - Companies improving retention by 5% see profit increases of 25-95%
  • Existing customers show higher purchase probability - The probability of selling to an existing customer is 60-70% versus 5-20% for new prospects—a fundamentally different metric than session conversion rate
  • Cookie-based tracking creates massive blind spots - Multi-device usage means the same person appears as multiple "new visitors"
  • Email campaigns drive stronger conversions - Email campaign conversion rates typically range in the low single digits, with automated flows performing higher, compared to 1.5-2.5% for anonymous new visitors
  • Existing customers generate majority revenue - Yet brands face significant customer acquisition costs that often exceed first-purchase margins
  • Mobile represents $4.5 trillion - Mobile devices now represent approximately 50% of global web traffic with average cart abandonment around 70%, demanding visitor identification
  • First-party data is essential - Safari blocks third-party cookies by default; Intelligent Tracking Prevention limits some first-party storage to 7 days, making owned data critical

Understanding New vs Returning Visitor Metrics: The Foundation

1. Average eCommerce repeat customer rate is only 28.2%

Research confirms the average repeat customer rate is just 28.2%, meaning 71.8% of acquired customers never return. This staggering statistic reveals the fundamental challenge facing online retailers: most acquisition investment yields no ongoing relationship. The gap between acquisition effort and retention outcome creates massive opportunities for businesses that can identify and re-engage visitors before they disappear into anonymity.

2. A healthy returning visitor rate benchmarks around 30%

Industry analysis establishes that 30% returning visitors represents a good benchmark for eCommerce stores, with rates above 20% considered normal. However, this benchmark varies significantly by industry vertical, with grocery stores achieving 65.2% repeat rates while luxury goods see only 9.9%. Understanding your industry-specific baseline enables realistic goal-setting for retention improvement initiatives.

3. Cookie-based tracking fundamentally misclassifies visitor types

Traditional analytics platforms like Google Analytics cannot accurately track visitors across devices, browsers, or privacy modes. If a single user visits your website on desktop and later returns via mobile, the system counts them as two separate "new visitors." This tracking limitation creates artificial inflation of new visitor metrics while understating returning visitor value, making data-driven decisions unreliable without identity resolution technology.

The True Cost of Customer Acquisition: New Visitor Economics

4. Acquiring new customers costs 5-25 times more than retention

Multiple research studies confirm that customer acquisition costs 5-25 times more than retaining existing customers, yet this cost differential continues widening. The dramatic cost variance reflects advertising platform competition, rising CPMs, and increasing consumer acquisition resistance. Opensend Connect addresses this economic reality by capturing high-intent visitors at $0.21-$0.25 per identity—dramatically lower than traditional paid acquisition costs.

5. In SaaS, customer acquisition costs increased 60% from 2014-2019

Analysis reveals that in the SaaS industry, CAC increased approximately 60% over this five-year period, with costs continuing to rise through 2024. This sustained cost inflation reflects platform maturation, increased competition, and privacy restrictions that reduce targeting effectiveness. The trend makes first-party data collection and owned audience building essential for sustainable growth.

6. Average eCommerce retention rate is around 31%

Research shows the average retention rate across eCommerce hovers around 31%, meaning 69% of customers are lost after their first purchase. This massive churn represents billions in unrealized revenue potential. The gap between acquisition investment and retention outcome reveals why visitor identification before first purchase exit is so critical.

Conversion Rate Performance: New vs Returning Visitors

7. Email campaigns convert higher than anonymous visitors

When visitors become email subscribers, email campaign conversion rates typically range in the low single digits, with automated flows performing higher—dramatically better than anonymous new visitors at 1.5-2.5%. This improvement demonstrates the value of owned first-party relationships. Opensend Connect captures these high-value email addresses from anonymous traffic with a 73% USA shopper match rate, building owned audiences that convert at these elevated rates.

8. Email traffic shows 5.3% conversion rate versus 0.7% from social media

Traffic source analysis reveals email-driven visitors convert at 5.3%—more than 7.5x higher than the 0.7% conversion rate from social media traffic. This performance difference highlights why building email lists from website visitors creates dramatically higher returns than relying on rented social media audiences. Email represents owned, permissioned access to customers who have already demonstrated intent.

9. New visitors typically convert at 1.5-2.5% depending on industry

Baseline conversion rates for new visitors range from 1.5-2.5% across eCommerce, with significant variance by product category and price point. This benchmark establishes realistic expectations for first-visit performance while highlighting the opportunity for improvement through personalization and trust-building. The relatively low initial conversion rate makes post-visit re-engagement critical for maximizing acquisition ROI.

Revenue Contribution: The Economics of Visitor Retention

10. A majority of company revenue comes from existing customers

Research consistently shows that a substantial majority of revenue comes from existing customers, yet most marketing budgets prioritize new customer acquisition. This revenue concentration among returning customers demonstrates the compounding value of retention. The dynamic makes clear that businesses optimizing only for new visitor acquisition leave significant revenue opportunities untapped.

11. Returning customers generate 12-18% more revenue than non-members

Analysis confirms that returning customers often produce 12-18% higher revenue per transaction compared to non-members or one-time buyers. This premium reflects both higher order values and increased purchase frequency. The revenue lift from returning customers compounds over time, making early retention efforts disproportionately valuable for long-term profitability.

12. Long-term customers spend significantly more over time

Longitudinal analysis reveals that customers who remain active for extended periods spend considerably more during later months than during their first six months. This spending acceleration over time demonstrates the compounding value of customer relationships. Opensend Revive helps maintain these long-term relationships by replacing bounced emails with active addresses for the same users.

Retention Rate Statistics: The 5% Improvement That Changes Everything

13. Companies improving retention by 5% see profit increases of 25-95%

The most dramatic statistic in eCommerce economics: improving retention by just 5% generates profit increases ranging from 25-95% across multiple industries. This extraordinary leverage effect comes from reduced acquisition costs, higher lifetime values, and increased referral rates. The statistic demonstrates why visitor identification and retention optimization deliver returns far exceeding new customer acquisition efforts.

14. Strong omnichannel engagement retains 89% versus 33% for weak implementations

Research shows that companies with strong omnichannel strategies retain 89% of customers compared to only 33% for weak implementations—a 56 percentage point difference. This massive retention gap reflects the importance of recognizing customers across touchpoints. Opensend Reconnect unifies fragmented consumer identities across devices using a proprietary identity graph to enable true omnichannel recognition.

15. 56% of shoppers become repeat buyers following personalized experiences

Analysis confirms that 56% of shoppers convert into repeat buyers when they receive personalized experiences during their customer journey. This conversion rate to repeat status demonstrates how personalization accelerates the transition from new to returning visitor. Opensend Personas enables this personalization through AI-powered segmentation based on real purchase and behavioral data.

Customer Lifetime Value: The Spending Escalation Curve

16. Second-time customers spend 40% more than first-time buyers

Research reveals that second-time customers spend approximately 40% more per transaction than first-time buyers, beginning an accelerating value curve. This immediate spending increase after the first repeat purchase demonstrates growing trust and engagement. The statistic makes converting first-time visitors into identifiable contacts for second-purchase campaigns essential for maximizing customer value.

17. Repeat customers demonstrate significantly higher lifetime revenue

Overall analysis shows that repeat customers generate substantially more revenue over their lifetime compared to one-time purchasers. This revenue multiplier comes from both increased frequency and higher order values. The pattern demonstrates why the visitor-to-subscriber conversion is worth far more than immediate first-purchase revenue.

Mobile vs Desktop: Device-Specific Visitor Behavior

18. Mobile represents ~50% of traffic with ~70% cart abandonment

Mobile devices now represent approximately 50% of global web traffic yet face an average cart abandonment rate around 70%. This disconnect between traffic volume and conversion performance creates massive opportunities for mobile optimization and visitor recovery. The statistic demonstrates why capturing visitor identity during mobile sessions—before abandonment—is critical for mobile commerce success.

19. Mobile commerce reached $4.5 trillion in 2024

Mobile commerce reached $4.5 trillion in 2024, representing 70% of total eCommerce. This dominance makes mobile visitor identification and retention optimization essential rather than optional. The massive market size means even small improvements in mobile retention deliver substantial revenue gains.

20. Mobile apps retain only 5.6% of users after 30 days

Analysis reveals that mobile apps suffer 94.4% churn with only approximately 5.6% of users remaining after 30 days. This dramatic retention failure demonstrates why owned communication channels like email—captured through visitor identification—outperform app-based retention strategies. Mobile web with email capture provides superior retention compared to app-only approaches.

Traffic Source Performance: Channel-Specific Conversion Patterns

21. Email marketing drives high-quality traffic with strong conversion intent

Email traffic represents a significant share of website visitors and demonstrates among the highest quality and conversion intent of any channel. This performance validates the importance of building email lists from website visitors through first-party data capture. The quality differential makes email list growth a higher priority than most paid acquisition channels.

22. Social media drives traffic with high cart abandonment

While social media accounts for a meaningful share of website traffic, it experiences high cart abandonment rates—among the highest of any channel. This elevated abandonment rate indicates social visitors need additional nurturing and relationship-building before converting. Capturing email addresses from social visitors enables the multi-touch nurturing required for this channel's success.

Cross-Device Tracking: The Identity Resolution Imperative

23 Safari blocks third-party cookies; ITP limits first-party storage

Safari blocks third-party cookies by default, and Intelligent Tracking Prevention limits some first-party storage to 7 days, making cookie-based visitor identification increasingly unreliable. This technical limitation makes first-party data capture during the initial visit essential. Opensend Connect operates with cookie-less capability, overcoming these privacy restrictions.

24. Link Tracking Protection strips tracking parameters

Apple's Link Tracking Protection automatically removes tracking parameters (gclid, fbclid, msclkid) from links in Mail, Messages, and Safari Private Browsing. This stripping of tracking data makes traditional attribution increasingly difficult and unreliable. First-party identity resolution through email capture provides attribution capabilities that survive privacy restrictions.

Personalization Expectations: The New Visitor Experience Baseline

25. 92% of businesses now use AI-driven personalization

Research confirms that 92% of businesses now use AI-driven personalization to drive growth, making personalized experiences the baseline expectation rather than a differentiator. However, meaningful personalization requires knowing who the visitor is—impossible for anonymous traffic. This widespread adoption makes visitor identification essential for competitive parity.

26. 71% of customers expect personalized experiences

Consumer research shows 71% of customers expect brands to understand their unique needs, with 76% frustrated when personalization is absent. This expectation-reality gap creates opportunity for brands that can deliver personalized experiences through visitor identification. Opensend Personas enables AI-powered segmentation that delivers the personalization consumers now demand.

Implementation Best Practices for Visitor Identification

Converting anonymous visitors into identifiable, retainable customers requires strategic implementation of identity resolution technology. Leading eCommerce brands prioritize first-party data capture during initial site visits, recognizing that cookie-based tracking provides incomplete and unreliable visitor classification.

Key implementation priorities include:

  • Real-time visitor identification - Capture emails from high-intent visitors before they exit using identity resolution with 73% match rates
  • Cross-device identity unification - Deploy identity graphs that recognize returning visitors across browsers and devices
  • Email list growth automation - Build owned audiences through systematic visitor-to-subscriber conversion
  • Bounced email replacement - Maintain contact with customers by updating outdated addresses with active ones
  • Behavioral segmentation - Create AI-powered personas based on actual purchase and engagement data
  • Compliance-first approach - Ensure all identity resolution operates within CCPA, CAN-SPAM, and privacy regulations

Opensend's product suite addresses each element: Connect identifies anonymous visitors in real time, Reconnect unifies cross-device identities, Revive replaces bounced emails, and Personas enables AI-powered segmentation—all while maintaining 100% legal compliance with end-to-end encryption.

The combination of these capabilities transforms a substantial share of customers who never return into identifiable contacts you can re-engage across owned channels, fundamentally shifting eCommerce economics from unprofitable acquisition to profitable retention.

Frequently Asked Questions

What is a good ratio of new to returning visitors for eCommerce stores?

A healthy eCommerce store typically maintains around 30% returning visitors and 70% new visitors, though this varies significantly by industry and business model. Grocery and consumables see much higher repeat rates (up to 65%), while luxury and high-consideration purchases may see lower rates (10-20%). The key is tracking your ratio's trajectory over time rather than obsessing over a single benchmark.

How much does it cost to acquire a new customer versus retaining an existing one?

Customer acquisition costs 5-25 times more than retention, with the specific multiplier depending on industry, product price point, and competitive intensity. Current data shows brands often face significant losses per newly acquired customer, making retention the only viable path to profitability for most eCommerce businesses.

What conversion rate should I expect from returning visitors?

The probability of selling to an existing customer is typically 60-70% compared to 5-20% for new prospects—roughly 3x higher. Email campaign conversion rates typically range in the low single digits, with automated flows performing higher, while anonymous new visitors convert at only 1.5-2.5%. This dramatic performance difference demonstrates why converting anonymous visitors to identified subscribers is the highest-value conversion in eCommerce.

How do I track new versus returning visitors accurately across devices?

Traditional cookie-based analytics cannot accurately track visitors across devices, browsers, or privacy modes, making standard Google Analytics unreliable for true visitor classification. The solution requires first-party identity resolution that captures email addresses and builds unified customer profiles across touchpoints. Opensend Reconnect provides this cross-device recognition through proprietary identity graph technology.

How can I identify high-intent visitors before they leave my site?

High-intent visitors exhibit specific behavioral signals including deep page engagement, product page views, cart additions, and extended session duration. Opensend Connect detects these signals in real time and identifies visitors with a 73% USA shopper match rate before they exit your site. This real-time identification enables immediate remarketing through email, social, postal, and other channels—converting anonymous traffic into owned customer relationships.

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November 7, 2025

Before iOS 14: The rollout of ITP

Apple’s attempts to protect privacy and limit 3rd-party tracking scripts started way before iOS 14 was released in September 2020. 
In 2017, Apple began tightening cross-site tracking via the debut of Intelligent Tracking Prevention (ITP)—blocking 3rd-party cookies, shortening lifetimes for some 1st-party cookies, and generally sanding down “free” identifiers marketers had taken for granted.
If you felt your cookie windows shrinking in 2019, that was ITP 2.1 capping many JavaScript-set cookies to 7 days.

iOS 14: The mobile ID reset

With the release of iOS 14 in September 2020, App Tracking Transparency (ATT) made device-level ad identifiers opt-in, and Apple shipped privacy-preserving attribution options (e.g., Private Click Measurement on web/app-to-web).
In response, Google added WBRAID/GBRAID tracking parameters to keep some campaign measurement working in iOS flows where gclid was no longer viable.
Much more notably, seeing the writing on the wall for 3rd-party tracking pixels, Facebook released its Conversions API (CAPI) in 2020 to help advertisers track campaign engagement without complete dependence on Facebook Pixels.
References:

iOS 17: The link parameter squeeze & further limiting of cookie lifespans

With the release of iOS 17 in September 2023, Link Tracking Protection (LTP) started stripping known tracking parameters (think gclid, fbclid, msclkid) in Mail, Messages, and Safari Private Browsing.
UTM parameters typically continued to pass for aggregate reporting, but click-ID-only pipelines got shakier in these contexts.
References:
Perhaps more importantly, with the release of iOS 17, all Safari WebKit browsers (including desktop browsers) started deleting all tracking cookies set with 3rd-party JavaScript after 7 days of inactivity on a website.
References:

iOS 26/Safari 26: “Default-on” tightening

Now, in the fall of 2025, we are of course confronted by further tightening of 3rd-party tracking pixels with these default changes to click IDs.

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