Blog

How To Use Identity Resolution For Better Marketing Results

Garrett Roach
Founder & CEO
April 11, 2025
March 7, 2025
Illustration showing a person icon connected to various marketing-related symbols, promoting a guide on using identity resolution for improved marketing outcomes.

Understanding who’s visiting your website is crucial for effective marketing, especially when your goal is to turn those visitors into qualified leads or customers. That’s where identity resolution comes in. It’s the process of recognizing and connecting individual users across devices, sessions, and channels, even when they haven’t identified themselves directly. This enables businesses to build a unified view of each person interacting with their brand.

But not all identity resolution solutions are created equal. Some systems prioritize scale, identifying more visitors but often sacrificing precision. Others take a more conservative approach, focusing on accuracy but potentially overlooking valuable leads. In this article, we’ll explore why these trade-offs exist and how to strike the right balance.

Despite their differences, businesses that leverage identity resolution can deliver more personalized messaging and offers, improve campaign attribution, and boost conversion rates through relevant, consistent engagement. Read on to learn how identity resolution works and how to optimize it to improve marketing performance.

What Is Identity Resolution?

Identity resolution is the process of connecting anonymous or partially identifiable digital signals, such as cookies, device IDs, or IP addresses, with a known individual. This allows brands to recognize that the person who visited their website, clicked a promotional email, and called about inventory is actually the same customer.

The process typically works like this:

  1. A shopper interacts with your brand
    This could be through a website visit, mobile app session, or in-store purchase.
  2. First-party data is collected from the interaction
    Information such as email addresses, device identifiers, or phone numbers is captured and securely stored.
  3. Identifiers are matched and unified
    Using deterministic matching based on exact matches like email or login ID, these identifiers are merged into a single customer profile. This profile is often maintained within an identity graph or Customer Data Platform (CDP).
  4. The unified profile is used for personalization
    Marketers and product teams use the enriched profile to deliver tailored messages, offers, or experiences across channels.
  5. Future interactions enrich the profile further
    Each new interaction adds more data, increasing the accuracy and completeness of the customer profile.

This creates a continuous loop. As customers engage more over time, the system becomes more confident in recognizing them, especially when using deterministic signals. This allows companies to provide consistent and personalized experiences while respecting privacy and consent.

Identity Resolution Infographic CTA

Understanding Identity Graphs

An identity graph is a data structure that links various identifiers, such as phone numbers, device IDs, loyalty program IDs, or even IP addresses and behavioral patterns, depending on the data available, to a single individual. These identifiers are associated with online and offline behaviors, including purchase history and website visits.

By connecting these data points, identity graphs help businesses create a unified view of each customer. This enables a clearer understanding of individual journeys and overall behavioral trends across the customer base. These connections are typically made through deterministic (exact match) or probabilistic (inferred) methods.

How Identity Resolution Works: Deterministic vs. Probabilistic Matching

Identity resolution typically relies on two core methods: deterministic and probabilistic matching.

  • Deterministic matching connects exact identifiers, such as email addresses, login credentials, or phone numbers, with high confidence. This approach is highly accurate, but it only works when the user has already been identified in some way.
  • Probabilistic matching uses machine learning and behavioral signals like IP address, device type, or browsing patterns to infer a user’s identity. This method is more scalable and effective for anonymous traffic, but it's inherently less precise than deterministic matching.

Most identity resolution systems operate in a probabilistic space, where they make educated guesses about who a visitor might be, often with limited data and no way to definitively confirm the match.

This introduces two core challenges:

1. Unknown Accuracy: Since anonymous visitors aren’t tied to known identifiers, there’s no way to know for sure if a match is correct. Businesses must trust the vendor’s logic, often without visibility into critical performance metrics like precision, match rates, or false positives.

2. Trade-offs Between Scale and Precision: Identity resolution platforms can be tuned to favor either scale (more matches, looser criteria) or precision (fewer matches, stricter rules). But without transparent measurement, it’s impossible to tell if the system is tuned appropriately, or if the trade-off is helping or hurting your business outcomes.

Understanding these limitations is essential for optimizing identity resolution strategies and choosing the right partner or platform.

Applying Identity Resolution to Marketing Strategy

Understanding how identity resolution works, and the trade-offs it involves, is just the beginning. To unlock its full potential, it’s critical to apply these insights across your marketing strategy in a structured, measurable way.

Let’s break down how identity resolution fits into your broader marketing workflow and how it can enhance targeting, personalization, and performance at every stage of the funnel.

  1. Collect Customer Data Across Interactions: From the moment a user lands on your site, data is gathered from pages visited, forms filled, emails clicked, and more.
  2. Centralize and Resolve Data in an Identity Graph: Data is deduplicated, cleaned, and matched to create a unified profile. CDPs are key in making this process accurate and efficient.
  3. Segment and Personalize Messaging: With rich profiles, you can send targeted messages based on interests, behaviors, or demographics.
  4. Optimize Retargeting and Follow-Ups: Create audience segments for retargeting or lookalike modeling. Time your follow-ups to match the buyer journey.
  5. Measure and Improve Marketing Performance: With identities resolved, you can track performance across the funnel and optimize based on conversion rates, lifetime value, and more.

Overcoming Common Identity Resolution Challenges

While applying identity resolution can significantly enhance your marketing strategy, implementation isn’t without its hurdles. Even the most advanced systems face common challenges that can impact accuracy, scalability, and performance.

To get the most out of your identity resolution efforts, it’s important to understand and proactively address these potential roadblocks.

  • Data Silos: Information must be unified across marketing, sales, and service.
  • Data Integrity: Inconsistent or outdated data needs to be cleaned and validated.
  • Cross-Device Tracking: Identity graphs help match users across multiple devices.
  • Real-Time Resolution: AI-powered systems enable personalization as the visit happens.

Addressing these challenges is key to unlocking the full value of identity resolution. But solving them isn’t just about having the right technology, it’s about applying it with intention, flexibility, and measurable impact.

That’s where Launch Labs comes in.

A Measured, Adaptive Approach: How Launch Labs Does Identity Resolution

At Launch Labs, we approach identity resolution with flexibility and measurement in mind. Rather than applying a one-size-fits-all model, we help businesses fine-tune their resolution strategies based on specific goals and customer behaviors.

By adjusting key parameters within the system, we can observe how different configurations impact performance. This includes evaluating trade-offs between the number of identities resolved and how accurate those matches are.

To guide decision-making, we surface the combinations that offer the best balance between precision and scale. This allows businesses to choose the resolution strategy that aligns with their priorities, whether that means reaching more users, reducing misidentification risk, or improving attribution quality.

The result is a tailored identity resolution strategy that adapts over time and is backed by measurable performance data.

Make Every Interaction Count

Identity resolution gives you the power to truly understand your customers—connecting data across channels, devices, and interactions to deliver personalized experiences at scale. This is especially critical for businesses selling considered purchases, where long decision cycles and multiple touchpoints are the norm.

With the right tools, you can eliminate data silos, improve accuracy, and activate real-time personalization that keeps customers engaged and drives conversions.

If you’re ready to turn insight into action, explore identity resolution solutions and find a partner like Launch Labs that can help you make it happen.

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Identity Resolution

How To Use Identity Resolution For Better Marketing Results

Understanding who’s visiting your website is crucial for effective marketing, especially when your goal is to turn those visitors into qualified leads or customers. That’s where identity resolution comes in. It’s the process of recognizing and connecting individual users across devices, sessions, and channels, even when they haven’t identified themselves directly. This enables businesses to build a unified view of each person interacting with their brand.

But not all identity resolution solutions are created equal. Some systems prioritize scale, identifying more visitors but often sacrificing precision. Others take a more conservative approach, focusing on accuracy but potentially overlooking valuable leads. In this article, we’ll explore why these trade-offs exist and how to strike the right balance.

Despite their differences, businesses that leverage identity resolution can deliver more personalized messaging and offers, improve campaign attribution, and boost conversion rates through relevant, consistent engagement. Read on to learn how identity resolution works and how to optimize it to improve marketing performance.

What Is Identity Resolution?

Identity resolution is the process of connecting anonymous or partially identifiable digital signals, such as cookies, device IDs, or IP addresses, with a known individual. This allows brands to recognize that the person who visited their website, clicked a promotional email, and called about inventory is actually the same customer.

The process typically works like this:

  1. A shopper interacts with your brand
    This could be through a website visit, mobile app session, or in-store purchase.
  2. First-party data is collected from the interaction
    Information such as email addresses, device identifiers, or phone numbers is captured and securely stored.
  3. Identifiers are matched and unified
    Using deterministic matching based on exact matches like email or login ID, these identifiers are merged into a single customer profile. This profile is often maintained within an identity graph or Customer Data Platform (CDP).
  4. The unified profile is used for personalization
    Marketers and product teams use the enriched profile to deliver tailored messages, offers, or experiences across channels.
  5. Future interactions enrich the profile further
    Each new interaction adds more data, increasing the accuracy and completeness of the customer profile.

This creates a continuous loop. As customers engage more over time, the system becomes more confident in recognizing them, especially when using deterministic signals. This allows companies to provide consistent and personalized experiences while respecting privacy and consent.

Identity Resolution Infographic CTA

Understanding Identity Graphs

An identity graph is a data structure that links various identifiers, such as phone numbers, device IDs, loyalty program IDs, or even IP addresses and behavioral patterns, depending on the data available, to a single individual. These identifiers are associated with online and offline behaviors, including purchase history and website visits.

By connecting these data points, identity graphs help businesses create a unified view of each customer. This enables a clearer understanding of individual journeys and overall behavioral trends across the customer base. These connections are typically made through deterministic (exact match) or probabilistic (inferred) methods.

How Identity Resolution Works: Deterministic vs. Probabilistic Matching

Identity resolution typically relies on two core methods: deterministic and probabilistic matching.

  • Deterministic matching connects exact identifiers, such as email addresses, login credentials, or phone numbers, with high confidence. This approach is highly accurate, but it only works when the user has already been identified in some way.
  • Probabilistic matching uses machine learning and behavioral signals like IP address, device type, or browsing patterns to infer a user’s identity. This method is more scalable and effective for anonymous traffic, but it's inherently less precise than deterministic matching.

Most identity resolution systems operate in a probabilistic space, where they make educated guesses about who a visitor might be, often with limited data and no way to definitively confirm the match.

This introduces two core challenges:

1. Unknown Accuracy: Since anonymous visitors aren’t tied to known identifiers, there’s no way to know for sure if a match is correct. Businesses must trust the vendor’s logic, often without visibility into critical performance metrics like precision, match rates, or false positives.

2. Trade-offs Between Scale and Precision: Identity resolution platforms can be tuned to favor either scale (more matches, looser criteria) or precision (fewer matches, stricter rules). But without transparent measurement, it’s impossible to tell if the system is tuned appropriately, or if the trade-off is helping or hurting your business outcomes.

Understanding these limitations is essential for optimizing identity resolution strategies and choosing the right partner or platform.

Applying Identity Resolution to Marketing Strategy

Understanding how identity resolution works, and the trade-offs it involves, is just the beginning. To unlock its full potential, it’s critical to apply these insights across your marketing strategy in a structured, measurable way.

Let’s break down how identity resolution fits into your broader marketing workflow and how it can enhance targeting, personalization, and performance at every stage of the funnel.

  1. Collect Customer Data Across Interactions: From the moment a user lands on your site, data is gathered from pages visited, forms filled, emails clicked, and more.
  2. Centralize and Resolve Data in an Identity Graph: Data is deduplicated, cleaned, and matched to create a unified profile. CDPs are key in making this process accurate and efficient.
  3. Segment and Personalize Messaging: With rich profiles, you can send targeted messages based on interests, behaviors, or demographics.
  4. Optimize Retargeting and Follow-Ups: Create audience segments for retargeting or lookalike modeling. Time your follow-ups to match the buyer journey.
  5. Measure and Improve Marketing Performance: With identities resolved, you can track performance across the funnel and optimize based on conversion rates, lifetime value, and more.

Overcoming Common Identity Resolution Challenges

While applying identity resolution can significantly enhance your marketing strategy, implementation isn’t without its hurdles. Even the most advanced systems face common challenges that can impact accuracy, scalability, and performance.

To get the most out of your identity resolution efforts, it’s important to understand and proactively address these potential roadblocks.

  • Data Silos: Information must be unified across marketing, sales, and service.
  • Data Integrity: Inconsistent or outdated data needs to be cleaned and validated.
  • Cross-Device Tracking: Identity graphs help match users across multiple devices.
  • Real-Time Resolution: AI-powered systems enable personalization as the visit happens.

Addressing these challenges is key to unlocking the full value of identity resolution. But solving them isn’t just about having the right technology, it’s about applying it with intention, flexibility, and measurable impact.

That’s where Launch Labs comes in.

A Measured, Adaptive Approach: How Launch Labs Does Identity Resolution

At Launch Labs, we approach identity resolution with flexibility and measurement in mind. Rather than applying a one-size-fits-all model, we help businesses fine-tune their resolution strategies based on specific goals and customer behaviors.

By adjusting key parameters within the system, we can observe how different configurations impact performance. This includes evaluating trade-offs between the number of identities resolved and how accurate those matches are.

To guide decision-making, we surface the combinations that offer the best balance between precision and scale. This allows businesses to choose the resolution strategy that aligns with their priorities, whether that means reaching more users, reducing misidentification risk, or improving attribution quality.

The result is a tailored identity resolution strategy that adapts over time and is backed by measurable performance data.

Make Every Interaction Count

Identity resolution gives you the power to truly understand your customers—connecting data across channels, devices, and interactions to deliver personalized experiences at scale. This is especially critical for businesses selling considered purchases, where long decision cycles and multiple touchpoints are the norm.

With the right tools, you can eliminate data silos, improve accuracy, and activate real-time personalization that keeps customers engaged and drives conversions.

If you’re ready to turn insight into action, explore identity resolution solutions and find a partner like Launch Labs that can help you make it happen.

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Identity Resolution

How To Use Identity Resolution For Better Marketing Results

Understanding who’s visiting your website is crucial for effective marketing, especially when your goal is to turn those visitors into qualified leads or customers. That’s where identity resolution comes in. It’s the process of recognizing and connecting individual users across devices, sessions, and channels, even when they haven’t identified themselves directly. This enables businesses to build a unified view of each person interacting with their brand.

But not all identity resolution solutions are created equal. Some systems prioritize scale, identifying more visitors but often sacrificing precision. Others take a more conservative approach, focusing on accuracy but potentially overlooking valuable leads. In this article, we’ll explore why these trade-offs exist and how to strike the right balance.

Despite their differences, businesses that leverage identity resolution can deliver more personalized messaging and offers, improve campaign attribution, and boost conversion rates through relevant, consistent engagement. Read on to learn how identity resolution works and how to optimize it to improve marketing performance.

What Is Identity Resolution?

Identity resolution is the process of connecting anonymous or partially identifiable digital signals, such as cookies, device IDs, or IP addresses, with a known individual. This allows brands to recognize that the person who visited their website, clicked a promotional email, and called about inventory is actually the same customer.

The process typically works like this:

  1. A shopper interacts with your brand
    This could be through a website visit, mobile app session, or in-store purchase.
  2. First-party data is collected from the interaction
    Information such as email addresses, device identifiers, or phone numbers is captured and securely stored.
  3. Identifiers are matched and unified
    Using deterministic matching based on exact matches like email or login ID, these identifiers are merged into a single customer profile. This profile is often maintained within an identity graph or Customer Data Platform (CDP).
  4. The unified profile is used for personalization
    Marketers and product teams use the enriched profile to deliver tailored messages, offers, or experiences across channels.
  5. Future interactions enrich the profile further
    Each new interaction adds more data, increasing the accuracy and completeness of the customer profile.

This creates a continuous loop. As customers engage more over time, the system becomes more confident in recognizing them, especially when using deterministic signals. This allows companies to provide consistent and personalized experiences while respecting privacy and consent.

Identity Resolution Infographic CTA

Understanding Identity Graphs

An identity graph is a data structure that links various identifiers, such as phone numbers, device IDs, loyalty program IDs, or even IP addresses and behavioral patterns, depending on the data available, to a single individual. These identifiers are associated with online and offline behaviors, including purchase history and website visits.

By connecting these data points, identity graphs help businesses create a unified view of each customer. This enables a clearer understanding of individual journeys and overall behavioral trends across the customer base. These connections are typically made through deterministic (exact match) or probabilistic (inferred) methods.

How Identity Resolution Works: Deterministic vs. Probabilistic Matching

Identity resolution typically relies on two core methods: deterministic and probabilistic matching.

  • Deterministic matching connects exact identifiers, such as email addresses, login credentials, or phone numbers, with high confidence. This approach is highly accurate, but it only works when the user has already been identified in some way.
  • Probabilistic matching uses machine learning and behavioral signals like IP address, device type, or browsing patterns to infer a user’s identity. This method is more scalable and effective for anonymous traffic, but it's inherently less precise than deterministic matching.

Most identity resolution systems operate in a probabilistic space, where they make educated guesses about who a visitor might be, often with limited data and no way to definitively confirm the match.

This introduces two core challenges:

1. Unknown Accuracy: Since anonymous visitors aren’t tied to known identifiers, there’s no way to know for sure if a match is correct. Businesses must trust the vendor’s logic, often without visibility into critical performance metrics like precision, match rates, or false positives.

2. Trade-offs Between Scale and Precision: Identity resolution platforms can be tuned to favor either scale (more matches, looser criteria) or precision (fewer matches, stricter rules). But without transparent measurement, it’s impossible to tell if the system is tuned appropriately, or if the trade-off is helping or hurting your business outcomes.

Understanding these limitations is essential for optimizing identity resolution strategies and choosing the right partner or platform.

Applying Identity Resolution to Marketing Strategy

Understanding how identity resolution works, and the trade-offs it involves, is just the beginning. To unlock its full potential, it’s critical to apply these insights across your marketing strategy in a structured, measurable way.

Let’s break down how identity resolution fits into your broader marketing workflow and how it can enhance targeting, personalization, and performance at every stage of the funnel.

  1. Collect Customer Data Across Interactions: From the moment a user lands on your site, data is gathered from pages visited, forms filled, emails clicked, and more.
  2. Centralize and Resolve Data in an Identity Graph: Data is deduplicated, cleaned, and matched to create a unified profile. CDPs are key in making this process accurate and efficient.
  3. Segment and Personalize Messaging: With rich profiles, you can send targeted messages based on interests, behaviors, or demographics.
  4. Optimize Retargeting and Follow-Ups: Create audience segments for retargeting or lookalike modeling. Time your follow-ups to match the buyer journey.
  5. Measure and Improve Marketing Performance: With identities resolved, you can track performance across the funnel and optimize based on conversion rates, lifetime value, and more.

Overcoming Common Identity Resolution Challenges

While applying identity resolution can significantly enhance your marketing strategy, implementation isn’t without its hurdles. Even the most advanced systems face common challenges that can impact accuracy, scalability, and performance.

To get the most out of your identity resolution efforts, it’s important to understand and proactively address these potential roadblocks.

  • Data Silos: Information must be unified across marketing, sales, and service.
  • Data Integrity: Inconsistent or outdated data needs to be cleaned and validated.
  • Cross-Device Tracking: Identity graphs help match users across multiple devices.
  • Real-Time Resolution: AI-powered systems enable personalization as the visit happens.

Addressing these challenges is key to unlocking the full value of identity resolution. But solving them isn’t just about having the right technology, it’s about applying it with intention, flexibility, and measurable impact.

That’s where Launch Labs comes in.

A Measured, Adaptive Approach: How Launch Labs Does Identity Resolution

At Launch Labs, we approach identity resolution with flexibility and measurement in mind. Rather than applying a one-size-fits-all model, we help businesses fine-tune their resolution strategies based on specific goals and customer behaviors.

By adjusting key parameters within the system, we can observe how different configurations impact performance. This includes evaluating trade-offs between the number of identities resolved and how accurate those matches are.

To guide decision-making, we surface the combinations that offer the best balance between precision and scale. This allows businesses to choose the resolution strategy that aligns with their priorities, whether that means reaching more users, reducing misidentification risk, or improving attribution quality.

The result is a tailored identity resolution strategy that adapts over time and is backed by measurable performance data.

Make Every Interaction Count

Identity resolution gives you the power to truly understand your customers—connecting data across channels, devices, and interactions to deliver personalized experiences at scale. This is especially critical for businesses selling considered purchases, where long decision cycles and multiple touchpoints are the norm.

With the right tools, you can eliminate data silos, improve accuracy, and activate real-time personalization that keeps customers engaged and drives conversions.

If you’re ready to turn insight into action, explore identity resolution solutions and find a partner like Launch Labs that can help you make it happen.

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