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Get the latest insights on identity, data, and audience activation.
Most potential customers don't move from their first website visit to a purchase in a single session. They may return several times, explore different products, respond to an ad, click an email, or switch devices before they're ready to convert.
Traditional website analytics records those interactions, but it often treats them as separate sessions. That leaves marketers with an incomplete view of the journey and limits what they can do with the activity happening before a visitor fills out a form.
Identity resolution helps connect those signals. It gives marketers a better way to recognize returning activity, personalize engagement, and build audiences from more than the small percentage of visitors who immediately convert.
Identity resolution is the process of connecting digital signals and identifiers across sessions, devices, and channels so businesses can recognize related activity over time.
Those signals may include website behavior, device information, IP data, cookies, email engagement, and known identifiers provided through a login or form submission. Identity resolution technology evaluates the relationships among those signals and connects activity that belongs together.
That connected view becomes especially valuable in considered-purchase categories. When buying decisions take place over days or weeks, marketers need to understand more than what happened during a single visit. They need to recognize how interest develops across the full journey.
Identity resolution begins with an identity graph, the underlying infrastructure that connects identifiers, attributes, and relationships. It provides the framework identity resolution technology uses to determine which digital signals belong together.
A typical process looks like this:
Identity signals can come from different types of interactions. An email click may provide a direct connection to a known recipient, while an anonymous website visit requires the platform to evaluate a broader combination of signals. Click-based and visit-based resolution provide different levels of certainty and coverage, but both can contribute to a more connected customer journey.
Identity resolution generally uses two complementary approaches.
Deterministic matching relies on a direct identifier, such as a login credential, email address, phone number, or completed form. These signals create high-confidence connections because the visitor has identified themselves in some way.
Probabilistic matching evaluates multiple signals and relationships when a direct identifier isn't available. These may include device information, IP data, browsing patterns, location signals, cookies, and other contextual information. Those signals matter most for mobile visits and early-stage activity, before a deterministic identifier exists.
The two work together. Deterministic signals anchor resolution where a visitor has already identified themselves, and probabilistic methods extend it to activity that would otherwise go unrecognized. How far that extends depends on the quality of the signals and the standards being applied, which is what determines the balance between accuracy and reach.
Connecting website activity becomes valuable when it improves what marketers can understand and do next.
A potential customer may browse several times before taking a traditional lead action. Identity resolution helps marketers recognize that recurring interest instead of treating every session as a new, unrelated visit.
That context is particularly valuable for longer buying journeys, where changes in products viewed, pages visited, or engagement patterns can reveal how interests are developing.
A connected view of previous and current behavior can inform the experience while a visitor is still browsing.
Instead of showing everyone the same message, marketers can present content, offers, and calls to action that reflect those interests. This creates a more relevant experience without requiring every visitor to log in or fill out a form first.
Most visitors leave without converting during their first session. Identity resolution allows marketers to carry more context forward by using resolved website activity to build first-party audiences based on product interest, repeat visits, and other engagement patterns.
Those audiences can be activated through existing advertising platforms, including Google, Meta, and TikTok, so engagement can continue after the website session ends.
When identity resolution connects website activity to an existing customer record, marketers can evaluate current behavior alongside purchase history, prior inquiries, and other known customer data.
This helps businesses respond to current interests rather than relying only on past activity or assumptions about when the customer may return.
Disconnected sessions make it difficult to understand how interest develops before a conversion. Identity resolution provides more context for evaluating the channels, campaigns, and website experiences associated with longer customer journeys.
That gives marketers more to optimize against than conversion counts alone, including which sources bring traffic that continues to engage.
Ignite by Launch Labs resolves anonymous website activity to likely real-world households. Its identity graph establishes the relationships among available signals, while deterministic and probabilistic methods work together to connect behavior across the customer journey.
That connected activity can inform onsite experiences, first-party audiences, and customer matching. When a shopper converts and provides their information, the resulting lead can flow into the CRM with relevant behavioral context, and non-converting households remain available for audience activation.
Ignite is designed to operate within the marketing tools and workflows a business already uses. Media execution and spend stay with the business or its existing partners rather than moving through Ignite, and audiences served through the platform carry no markup.
The goal isn't simply to identify more website traffic. It's to make more of that activity useful for personalization, audience activation, and measurement.
Get the latest insights on identity, data, and audience activation.

Identity resolution determines which identifiers and activities belong together. A customer data platform collects, organizes, and activates customer data from multiple sources. Many CDPs match known interactions on their own, such as form submissions, logins, and tracked email clicks. An identity resolution layer can connect anonymous activity before it reaches the CDP, so the platform has a more complete set of relationships to organize and activate.
Not exactly. Visitor identification focuses on determining who is behind a single website visit. Identity resolution is broader, connecting identifiers and activity across multiple visits, devices, channels, and customer records. Visitor identification is one application of it.
Yes. Identity resolution does not have to depend on third-party cookies. It can use first-party website signals, device and network information, email engagement, known customer identifiers, and other permitted data sources, matched against data the business already holds.