Table of Contents

How Perfume & Fragrance eCommerce Brands Can Increase Sales By Identifying Anonymous Website Visitors

October 16, 2025

Did you know that an estimated 90-98% of luxury website visitors leave without revealing who they are? For perfume and fragrance brands competing in an estimated $5 billion market, this represents millions in lost revenue—especially when online shopping cart abandonment averages around 70% (higher on mobile). The good news: identity resolution technology can identify an estimated 25-35% of these anonymous visitors, transforming them into recoverable sales opportunities.

Key Takeaways

  • Perfume brands lose an estimated 90-98% of website visitors who never provide contact information, representing massive lost revenue in a market projected to reach an estimated $5 billion by 2027
  • The sensory nature of fragrance creates unique challenges, with cart abandonment averaging ~70% (higher on mobile) across online shopping
  • Modern visitor identification can reveal an estimated 25-35% of anonymous visitors, enabling targeted email campaigns that can achieve high open rates and recover 15-20% of email revenue
  • Premium and niche fragrances are experiencing growth from an estimated $2.4 billion to $8.12 billion by 2033, creating ideal conditions for visitor identification as digitally-native Gen Z shoppers research extensively before buying
  • First-party data collection through visitor identification has become essential as third-party cookies face phase-out and privacy regulations like GDPR and CCPA reshape digital marketing

The Solution: Identity Resolution for Perfume Brands

The most effective way to recover lost revenue from anonymous traffic is identity resolution technology. Unlike basic website analytics that only show what visitors do, identity resolution reveals who they are—matching anonymous browsing sessions with actual email addresses and contact information.

For perfume brands, this means transforming silent browsers into recoverable leads. When a potential customer spends time researching your niche fragrances, compares multiple scent families, or abandons a cart, identity resolution captures their contact information so you can:

  • Send personalized follow-up emails addressing purchase hesitations
  • Retarget them across email, SMS, and social channels
  • Nurture them through the extended consideration period fragrance purchases require
  • Recover abandoned carts with targeted offers and educational content

Advanced platforms like OpenSend Connect identify high-intent shoppers in real time with industry-leading match rates, enabling perfume brands to build first-party email lists from actual website traffic at a fraction of the cost of paid acquisition.

Why Perfume Brands Lose Sales to Anonymous Website Traffic

The fragrance eCommerce landscape presents a unique paradox: an estimated 773 million global consumers now purchase perfumes online, yet most brands can't identify who's browsing their sites. This creates a fundamental revenue problem.

What Anonymous Traffic Means for Fragrance Retailers

Anonymous visitors are users who browse your website without logging in, creating an account, or submitting contact information. For perfume brands, research indicates that approximately 90-98% of website traffic falls into this category—people researching products, comparing prices, and seriously considering purchases without the brand having any follow-up ability.

The financial impact is substantial:

  • Lost nurturing opportunities: Fragrance purchases require multiple touchpoints due to the sensory uncertainty of buying scent online
  • Abandoned high-intent shoppers: Visitors viewing multiple products or returning multiple times represent serious buying intent
  • Unrecoverable cart abandoners: With cart abandonment around 70% (higher on mobile), most potential sales simply disappear
  • Missed cross-selling: Unknown visitors can't receive personalized recommendations for complementary products

The Cost of Unknown High-Intent Shoppers

The perfume industry faces specific challenges that make anonymous traffic particularly costly. The inability to transmit scent digitally creates inherent purchase hesitation, leading to extended consideration periods with multiple website visits before purchase.

Consumer behavior data reveals:

  • Around 48% abandon carts due to unexpected shipping costs
  • 30% exit over fit uncertainty (bottle size, concentration strength)
  • 23% leave due to delivery timeline concerns
  • Mobile users, who generate around 58.67% of traffic, show higher abandonment rates

Without visitor identification, brands have no mechanism to address these objections or re-engage these high-value prospects.

How Website Visitor Tracking Works for Fragrance eCommerce

Understanding the mechanics of visitor tracking helps perfume brands evaluate solutions effectively and set realistic expectations.

Traditional Visitor Tracking Methods

Basic website analytics track aggregate patterns without identifying individuals:

  • Session tracking: Records page views, duration, and navigation paths
  • First-party cookies: Store user preferences and session data, though Safari's ITP caps many to around 7 days
  • Pixel-based tracking: Monitors specific user actions and events

Limitations of Basic Website Visitor Counters

Traditional tracking tools show you what is happening but not who is visiting. A basic website visitor counter might reveal:

  • 20,000 monthly visitors
  • Average session duration of around 52 seconds
  • 500 product page views
  • 100 cart additions

Yet none of this data enables follow-up with the 19,900 visitors who leave without purchasing.

Privacy-First Tracking in 2024

Modern visitor identification has evolved beyond simple cookies, which face deletion, blocking, and regulatory restrictions. Third-party cookies face phase-out across major platforms, making first-party data collection essential.

Advanced methods include:

  • Browser fingerprinting: Creates unique identifiers based on device characteristics including screen resolution, installed fonts, browser version, and operating system
  • Identity resolution platforms: Cross-reference anonymous browsing data with proprietary databases to resolve individual identities
  • Cookie-less tracking: Operates without third-party cookies, complying with evolving privacy regulations
  • Behavioral analytics: Predicts purchase intent from browsing patterns specific to fragrance shoppers

Using Google Analytics to Understand Anonymous Perfume Shoppers

While Google Analytics provides valuable insights, it reveals critical gaps in understanding individual visitor behavior.

Setting Up Google Analytics for Fragrance Sites

Google Analytics 4 enables perfume brands to track fragrance-specific behaviors:

  • Event tracking: Monitor product views by scent family (floral, woody, oriental, fresh)
  • User demographics reports: Understand age, gender, and location patterns
  • Behavior flow analysis: Visualize navigation paths from discovery to purchase consideration
  • Product page engagement: Track time spent viewing fragrance notes and descriptions
  • Conversion funnel visualization: Identify where visitors drop off in the purchase journey

Key Metrics Perfume Brands Should Track

Focus on metrics that reveal fragrance-specific intent:

  • Pages per session: Higher numbers indicate serious research behavior
  • Bounce rate by scent type: Which fragrance families hold attention
  • Product view to cart rate: Measures conversion from interest to intent
  • Session quality metrics: Engaged users vs quick exits
  • Audience segments: Group visitors by behavior patterns

Gaps Google Analytics Can't Fill

Despite its power, Google Analytics shows aggregate data without individual identification. You can see that 1,000 visitors viewed your niche perfume collection, but you can't:

  • Email those specific individuals with personalized recommendations
  • Retarget them with relevant social media ads
  • Send follow-up messages addressing objections
  • Build first-party email lists from actual website traffic

This is where identity resolution becomes essential.

The Visitor Queue Problem: High-Intent Shoppers You Can't Reach

Several visitor identification platforms exist in the market, but most fall short for direct-to-consumer perfume brands.

What Is Visitor Queue and Similar Tools

Visitor queue platforms attempt to identify website visitors through IP-based company matching. These tools excel at B2B identification, matching IP addresses against business databases to identify visiting companies.

Why Traditional Visitor Queue Tools Fall Short for D2C Fragrance Brands

The fundamental limitation: most visitor identification tools focus on B2B applications, identifying companies rather than individual consumers.

For perfume brands selling directly to consumers:

  • Individual shoppers remain unidentified: B2B tools can't match residential IP addresses to personal contact information
  • Low match rates for consumer traffic: Tools optimized for business identification achieve estimated 3-25% accuracy when independently verified for consumer applications
  • Fragrance sample requesters lost: High-intent visitors researching discovery sets or gift options disappear without capture
  • Gift set browsers unreachable: Seasonal shoppers browsing gift collections leave no trace
  • Subscription box prospects missed: Visitors considering fragrance subscription services can't be nurtured

The gap between B2B visitor identification and D2C lead generation requirements has created demand for consumer-focused solutions.

Identity Resolution: Turning Anonymous Visitors Into Known Shoppers

Identity resolution represents the next generation of visitor identification, purpose-built for eCommerce brands selling to individual consumers.

How Identity Resolution Works

Unlike simple IP matching, identity resolution employs sophisticated orchestration of multiple technological systems:

  • Proprietary identity graphs: Match anonymous browsing behavior with databases of opt-in consumer profiles
  • Cross-device matching: Recognize the same shopper across mobile, tablet, and desktop
  • Email address retrieval: Connect anonymous sessions to actual contact information
  • Consent-based data: Partner with networks of registered users who consent to partner marketing
  • Real-time identification: Capture visitor data during active sessions
  • Privacy-compliant matching: Operate within GDPR, CCPA, and CAN-SPAM frameworks

Match Rates and Data Quality for Fragrance Brands

Realistic expectations matter. Quality identity resolution platforms achieve an estimated 25-35% identification rates for U.S. visitors, with accuracy measured by:

  • Email deliverability: Bounce rates under 5-8%
  • Engagement rates: Open and click rates comparable to organic subscribers
  • Spam complaint rates: Below 0.1%
  • Attribution accuracy: Trackable revenue from identified visitors

For perfume brands receiving 20,000 monthly visitors, estimated 25-35% identification translates to 5,000-7,000 new qualified contacts monthly—individuals who've demonstrated genuine interest by visiting your website.

OpenSend Connect leverages a proprietary identity graph with a reported 73% USA shopper match rate across 180M profiles, identifying high-intent fragrance shoppers in real time. The platform processes 7B+ events daily across 100k+ US-based sites, enabling perfume brands to capture visitors before they leave and sync them with email, programmatic, and postal marketing tools.

Conversion Optimization: Retargeting Perfume Browsers With Owned Data

Once you've identified anonymous visitors, strategic retargeting transforms browsing behavior into revenue.

Building Retargeting Flows for Fragrance Shoppers

The fragrance purchase journey requires specialized nurturing sequences:

Abandoned browse flows: Target visitors who viewed 3+ products without adding to cart

  • Email 1 (1-2 hours): Gentle reminder highlighting viewed fragrances with scent descriptions
  • Email 2 (24 hours): Educational content about fragrance families and notes
  • Email 3 (48-72 hours): Limited-time discount or sample offer

Cart abandonment sequences: Can achieve high open rates and drive 15-20% of email revenue

  • Email 1 (1 hour): Simple cart reminder
  • Email 2 (6-8 hours): Address common objections (shipping costs, return policy, authenticity)
  • Email 3 (24 hours): Social proof (reviews, bestseller status)
  • Email 4 (48 hours): Exclusive offer or free sample incentive

Product interest triggers: Segment by browsing behavior

  • Woody oriental browsers receive masculine fragrance recommendations
  • Niche brand viewers get artisan perfumer profiles
  • Price-sensitive shoppers see value sets and discovery collections

Multi-Channel Strategies: Email, SMS, and Social

Email retargeting serves as the foundation, but omnichannel engagement maximizes conversion:

  • SMS retargeting: Time-sensitive offers for cart abandoners
  • Programmatic ad retargeting: Display ads featuring viewed products across web properties
  • Social media retargeting: Instagram and TikTok ads showcasing fragrances based on browsing history
  • Direct mail: Physical samples for high-value cart abandoners

Optimizing Conversion Rates With First-Party Data

Brands implementing comprehensive retargeting see measurable impact:

  • Abandoned cart emails can achieve strong engagement and click-through rates
  • Well-executed sequences can convert significant portions of engaged recipients
  • Properly implemented flows recover an estimated 15-20% of lost revenue

OpenSend Connect enables multi-channel retargeting by syncing identified visitors with Klaviyo, Attentive, Iterable, and programmatic ad platforms, ensuring perfume brands can re-engage fragrance browsers across email, SMS, and paid media before they leave.

Recognizing Returning Fragrance Customers Across Devices

The modern fragrance shopper researches across multiple devices before purchasing, creating fragmented customer profiles that hinder personalization.

Why Perfume Shoppers Browse on Multiple Devices

Consumer behavior patterns reveal:

  • Around 58.67% of traffic comes from mobile devices
  • Shoppers research on mobile during commutes, then revisit on desktop at home
  • Price comparison happens on tablets while watching TV
  • Gift purchases begin on one device and complete on another

Without cross-device identification, these multiple sessions appear as separate unknown visitors rather than a single high-intent shopper.

Unifying Customer Journeys for Higher LTV

Cross-device identity matching creates unified customer views that enable:

  • Personalized welcome flows: Recognize returning visitors across sessions
  • Cart synchronization: Show the same cart contents regardless of device
  • Loyalty program tracking: Maintain consistent point balances and tier status
  • Cohesive product recommendations: Build on all browsing history, not just current session

OpenSend Reconnect unifies fragmented identities across devices using a proprietary identity graph, recognizing returning fragrance shoppers whether they browse on mobile, tablet, or desktop. This enables brands to activate more abandonment flows and strengthen customer engagement through seamless multi-device experiences.

Recovering Lost Email Contacts in Your Fragrance Customer List

Email lists naturally decay over time as customers change addresses, creating silent revenue loss that most brands don't address.

Why Fragrance Brands Lose Email Subscribers

Email list decay happens through:

  • Address changes: Customers switch jobs, graduate, or change ISPs
  • Inactive accounts: Users abandon old email addresses without updating preferences
  • Inbox abandonment: Gmail, Yahoo, and Outlook accounts go unused
  • Typos during signup: Misspelled addresses that never worked

Industry estimates suggest email lists decay around 22.5% annually, meaning a 10,000-subscriber list loses approximately 2,250 valid contacts each year.

Replacing Bounced Emails With Active Addresses

Rather than accepting list decay as inevitable, automated email refresh identifies the same users and replaces outdated addresses with current contact information.

The process works by:

  • Matching bounced emails against updated identity databases
  • Finding current email addresses for the same individuals
  • Automatically syncing refreshed contacts with your ESP
  • Maintaining customer purchase history and preferences

This prevents churn, increases customer LTV, and restores lost connections with previously engaged shoppers.

OpenSend Revive replaces bounced emails with active addresses for the same users, automatically syncing with your ESP to restore lost connections and prevent customer churn. For perfume brands with extensive email lists, this means recovering relationships with loyal customers who might otherwise be lost.

Segmenting Perfume Shoppers With AI-Powered Personas

Generic email blasts underperform compared to targeted campaigns based on actual purchase behavior and preferences.

Building Persona Cohorts for Fragrance Marketing

AI-powered segmentation creates cohorts based on real behavioral and transactional data:

  • Scent preference clusters: Group customers by favored fragrance families (floral, woody, fresh, oriental)
  • Gift buyers vs personal buyers: Segment by purchase patterns and seasonal behavior
  • Subscription vs one-time purchasers: Identify loyalty and repurchase likelihood
  • Price sensitivity tiers: Create luxury vs value-conscious segments
  • Discovery enthusiasts: Target niche fragrance explorers vs mainstream shoppers
  • Lifestyle targeting: Match demographic and psychographic profiles

Integrating AI Segments With Klaviyo and Meta Ads

Advanced platforms enrich first-party CRM data with external signals:

  • Demographic enrichment: Append age, income, and household data
  • Lifestyle attributes: Add interest and behavioral indicators
  • Real-time AI audience segmentation: Continuously update cohorts as behavior evolves
  • Ad-ready customer cohorts: Export segments directly to Google, Meta, and programmatic platforms

Brands implementing AI segmentation can see significantly higher revenue from personalization compared to competitors.

OpenSend Personas creates AI-powered persona cohorts from real purchase and behavioral data, seamlessly integrating with Klaviyo, Google, and Meta for smarter fragrance retargeting. The platform enriches customer profiles with demographic, lifestyle, and behavioral data, enabling perfume brands to build highly targeted campaigns that resonate with specific shopper segments.

Privacy-Compliant Visitor Identification for Perfume Brands

Privacy regulations and consumer concerns require careful attention to legal compliance and transparent data practices.

How to Identify Visitors Without Violating Privacy Laws

Legitimate visitor identification operates within established legal frameworks:

CAN-SPAM Act compliance: The law does not make unsolicited emails illegal. Businesses can send commercial emails to anyone as long as they:

  • Provide easy opt-out mechanisms
  • Honor all opt-out requests within 10 business days
  • Include a physical mailing address
  • Avoid deceptive subject lines or sender information

CCPA requirements for California residents:

  • Disclose what personal data is collected and how it will be used
  • Allow California residents to delete their data
  • Enable opt-out from data sharing or sale
  • Avoid discrimination against users exercising privacy rights

GDPR considerations for EU visitors:

  • Require explicit consent before data collection
  • Provide clear data usage disclosures
  • Enable data portability
  • Many providers exclude EU traffic entirely to avoid regulatory complexity

Consent-Based Data vs Cookie Tracking

Quality identity resolution platforms prioritize consent-based data collection by partnering with thousands of sites with millions of registered users who consent to partner marketing. This approach proves more sustainable than aggressive cookie tracking that faces browser blocking and regulatory restrictions.

OpenSend complies with US data protection laws by partnering with consent-based networks, protected by end-to-end encryption and sophisticated security protocols. The platform operates as a cookie-less solution for large-scale identity resolution, ensuring perfume brands can build first-party data assets while respecting user privacy.

Integrating Visitor Identification With Your Fragrance Tech Stack

Technology adoption requires seamless integration with existing marketing tools to maximize value.

Connecting Visitor Data to Your ESP

Native integrations eliminate data sync issues and duplicate contacts:

  • Shopify integration: Automatically capture visitor data from your eCommerce platform
  • Klaviyo sync: Push identified visitors directly into email flows and segments
  • WooCommerce compatibility: Support for WordPress-based perfume stores
  • Attentive SMS: Enable SMS retargeting for high-intent visitors
  • Iterable workflows: Trigger multi-channel campaigns from visitor behavior
  • Omnisend automation: Coordinate email, SMS, and push notifications

Automating Retargeting With Marketing Tools

Plug-and-play setup enables rapid deployment:

  • Real-time data sync: Visitor identification triggers immediate marketing actions
  • Behavioral triggers: Automatically enroll identified visitors in relevant flows
  • Segment creation: Build dynamic audiences based on browsing patterns
  • Campaign attribution: Track revenue from identified visitor campaigns
  • A/B testing: Compare identified visitor performance to organic subscribers

Implementation typically requires around 15-30 minutes for basic pixel installation through copy-paste code or Google Tag Manager.

OpenSend Connect offers plug-and-play integrations with Shopify, Klaviyo, WooCommerce, Attentive, Iterable, Omnisend, and other leading platforms for seamless visitor data activation. The platform syncs identified visitors in real time, enabling perfume brands to launch retargeting campaigns immediately without complex technical setup.

Measuring ROI: How Fragrance Brands Calculate the Value of Identified Visitors

Quantifying visitor identification impact requires tracking specific metrics and attribution models.

Calculating Cost Per Acquired Email

Transparent pricing enables precise ROI calculation:

  • Cost per identity: Quality platforms charge an estimated $0.50-$2.00 per identified visitor
  • Identification rate: Expect around 25-35% of U.S. traffic
  • Monthly investment: Subscription models range from $200-$2,000+ depending on traffic volume
  • Email capture rate comparison: Visitor identification captures significantly more emails than traditional popup forms

For a perfume brand with 20,000 monthly visitors:

  • 6,000 identified at 30% rate
  • $0.75 average cost per identity
  • $4,500 monthly investment
  • $0.75 cost per acquired email (vs $3-$5 for paid acquisition)

Comparing Identified Visitor ROI to Paid Ads

Visitor identification delivers favorable economics compared to customer acquisition through paid advertising:

Paid social advertising:

  • $1.50-$3.00 cost per click
  • 2-3% landing page conversion to email capture
  • $50-$150 effective cost per captured email

Visitor identification:

  • $0.50-$2.00 per identified visitor with email
  • 25-35% of total traffic captured
  • Visitors already demonstrated brand interest
  • Higher engagement rates than cold traffic

With typical visitor-to-customer conversion rates of 2-5%, each identified visitor should generate estimated $3-$15 in attributed revenue to achieve positive ROI within 90 days.

OpenSend Connect provides transparent pricing at an estimated $0.21-$0.25 per identity with credits that roll over, allowing fragrance brands to calculate precise ROI on identified visitors. The platform's performance tracking shows attributed revenue, email engagement metrics, and conversion rates for identified visitor segments.

Why OpenSend Is Essential for Perfume & Fragrance Brands

OpenSend stands apart in the visitor identification space with proven results for consumer brands and fragrance retailers specifically.

The OpenSend Advantage for Fragrance eCommerce

Processing 7B+ events daily across 100k+ US-based sites, OpenSend maintains a proprietary identity graph with 180M US shopper profiles, achieving a reported 73% USA match rate significantly higher than industry averages. The platform identifies an estimated 25-35% of anonymous visitors—warm leads who've already demonstrated interest by browsing your fragrance collection.

Core platform capabilities:

  • Connect: Captures high-intent shoppers in real time, syncing with email, SMS, and programmatic tools
  • Reconnect: Unifies fragmented identities across devices using cross-device matching
  • Revive: Replaces bounced emails with active addresses automatically
  • Personas: Creates AI-powered cohorts from purchase and behavioral data

Compliance and Data Quality

OpenSend prioritizes privacy-compliant data collection:

  • Complies with US data protection laws including CAN-SPAM and CCPA
  • Partners with thousands of sites with millions of registered users who consent to partner marketing
  • Protected by end-to-end encryption and sophisticated security protocols
  • Cookie-less operation available
  • No bots allowed—only real human traffic verified

The platform maintains data quality standards with bounce rates under 5% and spam complaint rates below 0.1%, ensuring identified visitor emails integrate seamlessly with your existing email marketing.

Seamless Integration and Rapid Deployment

OpenSend integrates quickly with:

  • eCommerce platforms: Shopify, WooCommerce, BigCommerce, Magento
  • Email service providers: Klaviyo (first identity resolution provider in Klaviyo's marketplace), Iterable, Braze, Attentive, Omnisend
  • Ad platforms: Google Ads, Meta Ads, programmatic networks

Setup requires simple pixel installation through copy-paste code or Google Tag Manager, with initial results appearing within an estimated 14-21 days as automated email flows begin reaching identified visitors.

Pricing Designed for Growth

Transparent tiered pricing with credits that roll over:

  • Connect: $500-$2,000/month depending on traffic volume (estimated $0.21-$0.25 per identity)
  • Reconnect: $250-$1,000/month for cross-device identification
  • Pay only for net new leads: No duplicate charges for returning visitors

Ready to transform your anonymous traffic into revenue? OpenSend offers a trial so fragrance brands can test results before committing. Check their success stories to see what's possible for your business.

Frequently Asked Questions

What does it mean when a website visitor is anonymous?

An anonymous website visitor is someone who browses your perfume brand's site without logging in, creating an account, or submitting contact information. Research indicates that approximately 90-98% of eCommerce visitors remain anonymous, leaving no data beyond basic analytics like page views and session duration. For fragrance brands, this means thousands of potential customers research your products, compare prices, and consider purchases without you having any ability to follow up, nurture the relationship, or recover abandoned carts.

How can perfume brands identify anonymous website visitors legally?

Modern identity resolution platforms identify anonymous visitors legally by partnering with consent-based networks where users have opted in to partner marketing. The CAN-SPAM Act permits commercial emails to anyone as long as brands provide easy opt-out mechanisms, honor unsubscribe requests within 10 business days, include physical mailing addresses, and avoid deceptive content. Quality platforms like OpenSend comply with CAN-SPAM, CCPA, and operate cookie-less to respect privacy while enabling identification of an estimated 25-35% of visitors.

What is the average match rate for visitor identification in eCommerce?

Realistic match rates for consumer eCommerce visitor identification range from an estimated 25-35% for U.S. visitors, with accuracy varying by provider and data quality. Independent verification reveals many providers achieve estimated 3-25% accuracy despite marketing claims of 40-65% identification rates. Quality platforms like OpenSend report achieving 73% USA shopper match rates through proprietary identity graphs with 180M consumer profiles. International visitor identification typically shows lower accuracy, with many providers excluding EU traffic entirely due to GDPR compliance complexity.

How does cross-device visitor tracking work for fragrance shoppers?

Cross-device tracking uses identity resolution technology to recognize the same shopper across mobile, tablet, and desktop devices. The technology matches anonymous browsing sessions through browser fingerprinting, device characteristics, and proprietary identity graphs that connect fragmented customer profiles. For perfume brands, this is critical because around 58.67% of traffic comes from mobile devices, and shoppers frequently research on one device then purchase on another. Strategic segmentation through cross-device tracking can improve conversion rates by enabling personalized experiences regardless of device.

What's the difference between Google Analytics and visitor identification tools?

Google Analytics provides aggregate behavioral data showing what visitors do—page views, session duration, bounce rates, and conversion funnels—but cannot reveal who individual visitors are or provide contact information for follow-up. Visitor identification tools like OpenSend go further by matching anonymous browsing behavior with actual email addresses and contact data, enabling direct marketing engagement. While Analytics might show 1,000 visitors viewed your niche perfume collection, visitor identification reveals the specific individuals and their contact information, allowing you to send targeted emails, retargeting ads, and personalized recommendations to recover those potential sales.

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7B+

Event Daily

In our network, we see the traffic for 100k+ US-based sites

180M

US Shoppers in Network

We have a 73% USA shoppers match rate

100%

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We follow all the laws and regulations to always comply

End-to-end encryption

and consent-based partnerships
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October 16, 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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