Table of Contents

How Virtual Gift Card & Voucher eCommerce Brands Can Increase Sales By Identifying Anonymous Website Visitors

October 24, 2025

Industry research suggests a large majority of website visitors remain unidentified, never sharing contact information or making a purchase—typical eCommerce conversion rates of around 2-3% confirm most visitors don't transact on their first visit.

For virtual gift card and voucher brands, this represents billions in untapped revenue. With the global gift card market estimated at $1.24 trillion in 2024 and projected to reach $2.31 trillion by 2030 according to industry analysis, identifying website visitors isn't just an opportunity—it's essential for capturing market share in this explosive growth sector.

Key Takeaways

  • The vast majority of gift card website visitors remain anonymous, representing massive lost revenue potential that visitor identification can unlock
  • The gift card market is growing from an estimated $1.24 trillion to $2.31 trillion by 2030, with digital gift cards now representing the majority of purchases
  • Fast-growing companies drive 40% more revenue from personalization than slower-growing peers, yet 76% of consumers get frustrated without it
  • Shopping cart abandonment affects 70.19% of potential purchases, with abandoned cart emails recovering approximately 10% of lost revenue
  • Gift card brands implementing identification strategies see OpenSend-reported revenue increases averaging 10-40% while maintaining privacy compliance
  • Around 61% of consumers spend more than a gift card's value when redeeming, making customer acquisition critical for maximizing lifetime value

Why Virtual Gift Card Brands Lose Revenue to Anonymous Traffic

The virtual gift card industry faces a paradox: explosive market growth alongside painfully low conversion rates. While the sector races toward an estimated $2.31 trillion by 2030, most brands struggle with the fundamental challenge that fewer than 2-3 out of 100 visitors complete a purchase.

The Scale of Anonymous Visitor Traffic

Traditional visitor identification methods reveal a stark reality:

  • Only around 30% of website traffic can be identified through conventional approaches
  • The vast majority of first-time visitors leave without making a purchase or sharing contact information
  • Average global eCommerce conversion rates sit around 2-3%, meaning over 97% of visitors generate zero immediate revenue
  • Research indicates approximately 67% of visitors will abandon contact forms if they encounter any complications

For gift card brands, this anonymous traffic represents an enormous missed opportunity. Consider a gift card site receiving 100,000 monthly visitors: with only 2-3% converting, that's over 97,000 potential customers leaving without any way to re-engage them.

The Mobile Gift Card Challenge

The shift to digital gift cards intensifies these challenges. Digital gift cards now represent the majority of purchases, with mobile wallet-based gift cards showing significant growth. Yet mobile presents unique conversion obstacles:

  • Mobile abandonment rates typically run higher than desktop
  • Mobile now accounts for roughly 70% of retail website visits globally
  • Many consumers send digital gift cards immediately when purchasing, creating urgency that demands frictionless mobile experiences

How Anonymous Traffic Impacts Revenue

The revenue leakage from anonymous visitors compounds across multiple touchpoints:

Cart Abandonment: With 70.19% of shopping carts abandoned globally, gift card brands lose the majority of purchase intent. The primary culprits include:

  • Approximately 47% abandon due to unexpected shipping costs or fees
  • Around 25% leave when forced to create an account
  • Roughly 18% exit over concerns about payment security

Lost Cross-Sell Opportunities: Research shows around 61% of consumers spend more than a gift card's value when redeeming, averaging $31.75 above the card amount. Without identifying initial visitors, brands miss the opportunity to build relationships that drive this profitable redemption behavior.

Personalization Gaps: 71% of consumers expect personalized interactions, and 76% get frustrated when it doesn't happen. Anonymous visitors receive generic experiences that fail to address their specific gift-giving needs—whether shopping for corporate bulk purchases, last-minute birthday gifts, or holiday gifting.

Turning Visa Gift Card Check Balance Visitors Into Repeat Customers

Balance check pages represent one of the most valuable yet underutilized touchpoints in the gift card customer journey. These visitors have already made a purchase (or received a gift card) and are actively engaging with your brand—making them prime candidates for customer retention.

Why Balance Check Traffic Is High-Value

Visitors checking Visa gift card balances or virtual gift card balances demonstrate:

  • Existing brand relationship: They've already interacted with your gift cards
  • Active engagement: They're using the card right now, indicating immediate purchase intent
  • Cross-sell readiness: Around 61% spend $31.75 more than the card value when redeeming
  • Referral potential: Satisfied recipients become future purchasers
  • Corporate indicators: High-volume balance checks may signal corporate gift card program usage

Traditional analytics track these visits but can't identify who these valuable customers are for future engagement.

Cross-Device Recognition Challenges

The gift card customer journey often spans multiple devices:

  • Research on mobile during commute → Purchase on desktop at work
  • Receive gift card notification on phone → Check balance on tablet → Redeem on desktop
  • Corporate buyers browse on mobile → Complete bulk purchase on company computer

Without cross-device identity resolution, each interaction appears as a different anonymous visitor, fragmenting the customer profile and preventing personalized engagement.

OpenSend Reconnect: Unified Customer Profiles

OpenSend Reconnect solves this challenge by unifying fragmented consumer identities across devices using a proprietary identity graph. This enables gift card brands to:

  • Recognize returning visitors across smartphones, tablets, and desktops
  • Activate abandonment flows when a cart is started on one device but not completed on another
  • Personalize marketing based on complete cross-device behavior history
  • Strengthen engagement by understanding the full customer journey

For balance check visitors specifically, Reconnect enables:

  • Card usage reminders for network-branded cards (such as Visa gift cards) with printed expiration dates; note that most retailer gift cards cannot expire within 5 years under the CARD Act
  • Reload offers when balances run low
  • New product recommendations based on previous card usage patterns
  • Corporate program expansion for business customers checking multiple cards

The result: anonymous balance-check traffic transforms into identified, engaged customers ready for personalized retargeting that drive repeat purchases and higher lifetime value.

Optimizing Amazon Gift Card Sales With Visitor Segmentation

The ability to segment anonymous visitors by behavioral patterns and purchase intent dramatically improves conversion rates. Personalized recommendations can drive substantial lifts in conversion, with some cases showing increases of 200-300%+, while fast-growing companies generate 40% more revenue from personalization than slower-growing peers.

Building Purchase-Ready Segments

Effective segmentation for Amazon gift cards, Starbucks e-gift cards, and other popular brands requires identifying distinct behavioral cohorts:

High-Intent Individual Buyers:

  • Visitors spending 3+ minutes on product pages
  • Multiple sessions within 24 hours
  • Cart additions without immediate purchase
  • Denomination comparison behavior (viewing $25, $50, $100 options)

Corporate Bulk Purchasers:

  • B2B page section views
  • Bulk pricing inquiry behavior
  • High-value denomination focus ($500+ cards)
  • Extended time on corporate solutions pages

Last-Minute Gifters:

  • Mobile-dominant sessions
  • Quick browsing patterns (under 2 minutes)
  • E-gift card preference (instant delivery)
  • Weekend/evening traffic patterns

Price-Sensitive Shoppers:

  • Multiple visits comparing denominations
  • Coupon code search behavior
  • Lower denomination preference ($10-$25 range)
  • Extended consideration periods (week+ between visits)

AI-Powered Persona Creation

OpenSend Personas creates AI-powered persona cohorts based on real purchase and behavioral data, going beyond basic segmentation to deliver:

Demographic Enrichment: Connecting anonymous visitor behavior to:

  • Income indicators
  • Geographic location patterns
  • Lifestyle signals
  • Purchase history data from the proprietary identity graph

Behavioral Analysis: Real-time AI audience segmentation that identifies:

  • Gift card category preferences (retail, restaurant, entertainment, travel)
  • Purchasing frequency patterns
  • Average transaction values
  • Cross-category shopping behavior

Predictive Intent Scoring: Machine learning models that predict:

  • Purchase probability within 24/48/72 hours
  • Optimal re-engagement timing
  • Most effective promotional offers
  • Preferred communication channels

Activating Segments for Maximum Revenue

Once segments are established, activation strategies drive conversions:

Email Campaigns:

  • High-intent visitors receive abandoned cart emails within 1 hour (around 40-45% open rates, 10-20% click rates)
  • Corporate buyers get B2B-focused messaging with volume discounts
  • Last-minute gifters receive urgency messaging with instant delivery highlights

Social Retargeting:

  • Lookalike audiences built from high-value segments
  • Platform-specific creative (visual-heavy for Instagram, urgency-focused for Facebook)
  • Dynamic product ads showing previously viewed gift card denominations

Programmatic Display:

  • Geo-targeted ads for local restaurant and retail gift cards
  • Contextual placement on gift guide content
  • Sequential messaging based on previous site interactions

SMS Campaigns:

  • Time-sensitive offers to mobile-dominant segments
  • Balance check reminders with reload opportunities
  • Exclusive mobile-only promotions

The integration of OpenSend Personas with ESP and ad platforms (Klaviyo, Google, Meta) enables seamless segment activation across all channels, maximizing the revenue potential of each identified visitor.

Email List Growth Strategies for Gift Card Sales Online

For virtual gift card brands, email list growth represents the foundation of owned, first-party data that drives long-term profitability. With 91% of consumers more likely to shop with brands who provide relevant offers and recommendations, building an engaged email list directly impacts conversion rates and customer lifetime value.

Converting Anonymous Browsers Into Email Subscribers

Traditional email capture methods fall short with research indicating approximately 67% of visitors abandon forms that present any complications. Modern gift card brands must employ sophisticated, low-friction capture strategies:

Behavioral Trigger Popups:

  • Exit-intent offers when abandonment is detected
  • Time-based triggers (8-10 seconds on mobile)
  • Scroll-depth activation (after viewing 2-3 products)
  • Cart addition triggers for non-purchasing visitors

Value Exchange Mechanisms:

  • Gift card recommendation quizzes ("Find the perfect gift in 60 seconds")
  • Corporate gifting consultation bookings
  • Occasion reminder services (birthday, anniversary, holiday alerts)
  • Early access to new gift card designs or exclusive denominations

Progressive Disclosure:

  • Single-field email capture (4.30% conversion vs. 2.61% for multiple fields)
  • "Email-only" checkout options
  • Guest purchase with optional account creation post-purchase
  • Social media authentication for one-click signup

OpenSend Connect: 5x More Email Captures

OpenSend Connect revolutionizes email list growth by identifying anonymous visitors through a proprietary network of an estimated 180M US shoppers without requiring form completion. The technology:

  • Captures emails automatically from high-intent visitors before they leave
  • Achieves reported 73% match rates for USA shoppers within the network
  • Processes billions of events daily across 100k+ US-based sites for continuous identity graph updates
  • Delivers net new leads with credits rolling over month-to-month

For gift card brands, this means:

Immediate List Growth: Capture emails from the large majority of visitors who would otherwise remain anonymous

Higher Quality Leads: Focus on high-intent visitors who viewed gift cards, added to cart, or spent significant time on product pages

Seamless ESP Integration: Plug-and-play connections to Klaviyo, Omnisend, Iterable, and other email platforms sync captured emails instantly

Multi-Channel Activation: Beyond email, identified visitors flow to social retargeting, programmatic ads, postal campaigns, and SMS marketing

Integration With Email Service Providers

OpenSend's integration ecosystem ensures captured visitors immediately enter nurturing workflows:

Klaviyo Integration: OpenSend integrates with Klaviyo's marketplace, enabling:

  • Automatic list segmentation by gift card interest
  • Abandoned browse flows for non-purchasers
  • Personalized recommendations based on viewed categories
  • Cross-device behavior tracking for unified profiles

Omnisend & Iterable: Multi-channel campaign orchestration with:

  • Email + SMS coordination for last-minute gifters
  • Push notification integration for mobile app users
  • Cart abandonment automation across channels

WooCommerce & Shopify: Direct integration with eCommerce platforms enables:

  • Real-time visitor identification during browsing
  • Post-purchase email capture for gift card recipients
  • Subscription and loyalty program enrollment

With OpenSend's tiered pricing (see current pricing for details), gift card brands can scale email list growth efficiently while maintaining compliance and data security.

Implementation Guide: Getting Started With Visitor Identification

Launching a visitor identification program for your gift card store requires strategic planning but delivers rapid results when executed properly. Most brands complete technical setup within 1-2 weeks and see measurable improvements within 30-60 days.

Technical Requirements for Gift Card Store Integration

Platform Compatibility:

  • Shopify: Direct app installation from Shopify marketplace
  • WooCommerce: WordPress plugin or manual pixel installation
  • BigCommerce: Script integration through theme editor
  • Magento: Custom module or Google Tag Manager implementation
  • Custom platforms: JavaScript pixel deployment via header injection

Data Infrastructure:

  • SSL/TLS security certificate (required for secure data transmission)
  • Privacy policy page with clear data collection disclosure
  • Cookie consent banner (for GDPR compliance if serving EU visitors)
  • Terms of service including data usage provisions

ESP/Marketing Stack:

  • Active account with email service provider (Klaviyo, Omnisend, Iterable, Attentive)
  • Social media business accounts (Facebook Ads Manager, Pinterest Business)
  • Google Analytics or alternative analytics platform
  • CRM system for B2B corporate accounts (optional but recommended)

Minimum Traffic Requirements:

  • Around 10,000+ monthly visitors recommended for entry-level plans
  • Lower traffic sites can still benefit but may take longer to reach volume
  • Corporate/B2B gift card sites with lower traffic but higher value transactions can see ROI at smaller scales

30-Day Roadmap to Identify and Convert More Visitors

Week 1: Foundation Setup

  • Install visitor identification pixel
  • Configure consent management platform for privacy compliance
  • Integrate ESP connection (Klaviyo, Omnisend, etc.)
  • Set up baseline analytics tracking for comparison

Week 2: Segmentation & Campaigns

  • Define high-intent visitor segments (time on site, pages viewed, cart additions)
  • Create abandoned cart email sequences
  • Build browse abandonment workflows
  • Set up welcome email series for newly captured visitors

Week 3: Multi-Channel Activation

  • Connect social media custom audiences (Facebook, Instagram, Pinterest)
  • Configure programmatic display retargeting
  • Set up SMS campaigns for mobile-dominant visitors (if applicable)
  • Launch initial test campaigns across channels

Week 4: Optimization & Scaling

  • Review performance metrics (identification rate, conversion lift, ROI)
  • A/B test email subject lines and creative
  • Refine segment definitions based on results
  • Scale successful campaigns and pause underperformers

OpenSend Specific Implementation

OpenSend Connect offers a streamlined path to visitor identification:

Setup Process:

  1. Sign up (see current pricing and trial offers)
  2. Install pixel via copy-paste or Google Tag Manager
  3. Connect ESP (Klaviyo integration)
  4. Configure high-intent visitor parameters
  5. Begin receiving identified visitor emails

Pricing Tiers for Gift Card Brands: See current pricing for the latest tier options and identity volumes.

Key Advantages:

  • Only pay for net new leads (credits roll over)
  • Reported 73% USA shopper match rates from 180M person network
  • Billions of events daily processed for continuous identity graph updates
  • Integration with Shopify, Klaviyo, and major eCommerce platforms

Ongoing Management:

  • Monthly review of identification rates and ROI
  • Quarterly optimization of segmentation rules
  • Annual strategy planning for seasonal gift card campaigns
  • Continuous A/B testing of messaging and creative

By following this implementation roadmap and leveraging platforms designed specifically for eCommerce like OpenSend, gift card brands can rapidly deploy visitor identification programs that deliver measurable revenue growth within the first month.

Why OpenSend Powers Virtual Gift Card Sales Growth

OpenSend has established itself as a leading visitor identification platform for eCommerce brands, processing billions of events daily across more than 100,000 US-based sites. For virtual gift card and voucher businesses specifically, OpenSend delivers the unique combination of high identification rates, seamless integrations, and demonstrated ROI that transforms anonymous traffic into revenue.

The OpenSend Advantage for Gift Card Brands

Proprietary Identity Graph: OpenSend's network includes an estimated 180M US shoppers who have consented to partner marketing, enabling reported 73% USA shopper match rates—significantly outperforming the around 30% identification rate of traditional methods. This means gift card brands can identify 2-3x more visitors than competitors using conventional approaches.

Real-Time Identification: Unlike delayed batch processing, OpenSend captures high-intent visitors in real time before they leave your site. For gift card shoppers—who often make quick purchase decisions—this immediate identification is critical for triggering timely retargeting campaigns.

Multi-Product Ecosystem: Four integrated solutions address the complete customer lifecycle:

  • Connect: Core visitor identification capturing emails at scale
  • Reconnect: Cross-device identity resolution unifying mobile and desktop sessions
  • Revive: Email recovery replacing bounced addresses automatically
  • Personas: AI-powered segmentation for precision targeting

Proven Results for eCommerce Brands

Gift card, retail, and DTC brands using OpenSend report exceptional returns:

  • OpenSend-reported 6X to 48X ROI within first 90 days across client base
  • Client results indicate average $0.21-$0.25 cost per identity (lower than typical paid advertising)
  • 25-35% of anonymous visitors successfully identified
  • Email list growth of 2,000-9,500+ monthly depending on traffic volume

Seamless Integration With Your Marketing Stack

OpenSend connects effortlessly with the platforms gift card brands already use:

Email Service Providers:

  • Klaviyo: Integrates with Klaviyo's marketplace
  • Omnisend, Iterable, Attentive, Braze: Direct connections for automatic list syncing

eCommerce Platforms:

  • Shopify: One-click app installation from marketplace
  • WooCommerce: WordPress plugin or manual integration
  • BigCommerce, Magento: Custom integrations available

Ad Platforms:

  • Facebook/Instagram: Custom Audiences sync for retargeting
  • Google Ads: Customer Match list integration
  • Pinterest: Audience targeting for gift discovery campaigns

Compliance and Data Security

OpenSend prioritizes privacy and security:

  • Designed to support compliance with CAN-SPAM, CCPA, and all US data protection laws
  • End-to-end encryption protects all customer data
  • Sophisticated security protocols prevent fraud and unauthorized access
  • Only real human traffic—no bots allowed in the identification network

For gift card brands concerned about gift card fraud (card testing attacks, account takeovers), OpenSend's security infrastructure adds a protective layer while enabling growth.

Getting Started: Trial Options

OpenSend offers trial options (see current pricing), allowing gift card brands to test the platform. Setup typically takes minutes via simple pixel installation, and results begin flowing immediately as visitor identification starts.

Explore OpenSend to learn more about transforming your anonymous gift card traffic into identified, engaged customers ready to buy.

Frequently Asked Questions

How do virtual gift card brands identify anonymous website visitors legally?

Virtual gift card brands identify anonymous visitors using consent-based network partnerships and first-party data collection methods that comply with CAN-SPAM, CCPA, and other privacy regulations. Platforms like OpenSend partner with thousands of sites whose millions of registered users consent to partner marketing, creating a proprietary identity graph that matches anonymous visitors to known profiles. This approach is designed to support legal compliance while achieving reported 73% match rates for USA shoppers—far exceeding the around 30% identification rate of traditional methods.

What percentage of gift card store visitors can be identified with visitor identification technology?

Modern visitor identification platforms can identify 25-35% of anonymous visitors using proprietary identity networks and behavioral analysis—comparable to or better than the around 30% industry average for conventional methods. OpenSend specifically reports achieving 73% match rates for USA shoppers within its 180M person network, meaning approximately 1 in 3 to 1 in 4 visitors to gift card sites can be successfully identified and re-engaged through email marketing, social retargeting, and programmatic advertising campaigns.

How does identifying anonymous visitors increase Amazon gift card and Visa gift card sales?

Identifying anonymous visitors enables gift card brands to implement personalized retargeting campaigns across email, social media, and programmatic channels that dramatically improve conversion rates. Fast-growing companies generate 40% more revenue from personalization than slower-growing competitors, while personalized product recommendations can drive substantial conversion lifts. For specific gift card products like Amazon gift cards and Visa gift cards, identification allows tailored messaging addressing price points, delivery speed (instant e-gift vs. physical), and use cases (personal gifting vs. corporate bulk orders) that convert browsers into buyers.

What's the difference between website analytics tools and visitor identification platforms?

Website analytics tools (like Google Analytics) track what anonymous visitors do—pages viewed, time on site, traffic sources—but don't reveal who they are or provide contact information for follow-up. Visitor identification platforms go further by matching anonymous behavioral data to actual individuals with email addresses, enabling direct outreach through email campaigns, social retargeting, and multi-channel engagement. While analytics show that a large majority of visitors remain anonymous and most leave without purchasing, identification platforms turn those anonymous sessions into actionable leads.

Can visitor identification work for balance check pages on virtual gift card sites?

Yes, visitor identification works exceptionally well for balance check pages—which represent high-value traffic since these visitors are actively using gift cards and demonstrate strong brand engagement. OpenSend Reconnect specifically addresses this use case by recognizing returning visitors across devices, enabling gift card brands to identify balance-checkers and trigger personalized campaigns such as reload offers when balances run low, usage reminders for network-branded cards (such as Visa gift cards) with printed expiration dates, and new product recommendations based on card usage patterns. Since around 61% of consumers spend more than a gift card's value when redeeming, identifying these visitors creates substantial cross-sell opportunities.

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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%

Legally Compliant

We follow all the laws and regulations to always comply

End-to-end encryption

and consent-based partnerships
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Co Founder, Track Barn

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October 24, 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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