Analyze Marketing Attribution and Pipeline with Knock AI

How to Analyze Marketing Attribution and Pipeline with Knock AI

Knock AI’s Attribution Analysis shows which marketing channels, sources, landing pages, and campaigns bring the right buyers and ultimately generate pipeline and revenue. Instead of measuring attribution only by traffic or conversions, Knock connects acquisition data with buyer identity, ICP fit, buying intent, opportunities, deals, and revenue.

This helps you answer a more important question than “Where does our traffic come from?”: Which marketing investments bring the ICPs we want and actually turn into pipeline?

Why does attribution analysis matter?

Traditional attribution reports often optimize marketing around the top of the funnel.

A channel may generate thousands of visitors or hundreds of conversions without generating the audience your company actually wants to sell to. Another channel may bring less traffic but generate significantly more qualified buyers, opportunities, and revenue.

Knock lets you analyze the entire path:

Traffic → Intent → Conversion → Qualified buyer → Opportunity → Deal → Revenue

You can use the report to answer questions such as:

• Which channels bring the most traffic?
• Which channels bring the most conversions?
• Which sources generate the most deals and revenue?
• Which sources bring buyers from our ICP?
• Which channels work best for enterprise versus SMB buyers?
• Which landing pages generate pipeline instead of only clicks?
• Which campaigns and UTM content produce qualified buyers?
• Where are buyers located?
• What industries and company sizes are engaging?
• Which sources attract buying intent versus support, recruiting, or other intent?
• How is attribution performance changing over time?
• Does Knock convert demand more effectively than traditional forms?

This lets your team decide where to invest more, where to optimize, and where traffic is not translating into meaningful business results.

How does Knock AI calculate attribution better than traditional tools?

Knock AI calculates attribution by connecting the full buyer journey through its identity graph instead of assigning value only to the last click, form submission, or anonymous session.

The identity graph detects engagement signals before a lead is identified and beyond your website. This can include:

• The first comment on a Though Leadership LinkedIn post.
• The first click on an ad.
• A visit to your G2 profile.
• A QR code scan at an event.
• Website visits
• Reply to LinkedIn outreach message or email

Knock’s identity graph groups these signals to the same person or account, even when the activity happens across different devices, sessions, channels, and environments. This gives Knock a more complete view of the buyer journey and supports more accurate attribution calculations.

Knock AI analyzes four types of attribution:

Where do I see the Attribution Analysis?

You can map attribution data to your CRM fields and access the Attribution Analysis report. The Attribution Analysis report focuses specifically on website attribution rather than all attribution data.

Open the Knock Dashboard and go to your attribution analysis report.

The report combines website activity, attribution data, Knock identity and enrichment, conversion activity, and connected CRM outcomes.

Use the filters at the top of the report to analyze a specific part of your demand.

Available filters include:

• Last 30 Days
• Channels
• Sources
• Lead Location
• Landing Pages
• UTM Content
• Conversion type

Changing the filters updates the report so you can compare performance for a specific campaign, audience, source, conversion experience, or time period.

What does the Attribution Analysis show?

The top of the report summarizes how demand progresses from website activity into pipeline.

Visits

Visits shows the total unique users visited the website for the selected filters and period.

Tried to convert

Tried to convert shows visitors who demonstrated conversion intent by interacting with a conversion experience.

This helps separate general website traffic from people who actively attempted to convert (take the action you want them to take).

Converted

Converted shows visitors who completed the relevant conversion.

Pipeline Value

Pipeline Value shows pipeline associated with the selected attribution criteria.

You can also see how many new deals were created and open See deals opened to investigate the underlying opportunities.

This makes it possible to optimize attribution against revenue instead of treating every visitor or conversion as equally valuable.

Which marketing channels / source perform best?

Those graphs compares the contribution of your marketing channels and sources.

You can compare the results based on traffic and conversion.

This lets you identify an important difference.

A channel may account for a large percentage of your traffic but a much smaller percentage of your conversions. Another channel may bring fewer visitors but convert them much more efficiently.

Use this comparison to understand whether a channel is primarily generating attention or generating demand that progresses.

Compare attribution from traffic to revenue

The Attribution Comparison table gives you a detailed view of how each source performs through the funnel.

For each source, you can review:

Search for a specific source or sort the table by the metric you want to optimize.

This is one of the most important views in the report because it prevents traffic volume from hiding actual business performance.

For example:

Source A may generate the most visits.

Source B may generate fewer visits but more conversions.

Source C may generate even less traffic but produce the most revenue.

If your objective is pipeline, Source C may deserve more investment even if it would look small in a traditional web analytics report.

Which attribution works best for each ICP?

Not every acquisition source performs equally across your ICP groups.

An enterprise ICP and an SMB ICP may respond to completely different channels, campaigns, landing pages, and conversion experiences. Looking only at aggregate attribution can hide these differences.

Use your defined ICP groups together with Knock’s company, person, and intent data to compare attribution performance for the audiences that matter to your business.

For each ICP group, evaluate:

1. Which channels bring the most relevant accounts.
2. Which sources bring buyers with buying intent.
3. Which sources generate the highest conversion rate.
4. Which sources create opportunities and deals.
5. Which sources generate the most pipeline or revenue.
6. Which landing pages perform best for that ICP.
7. Which conversion experiences work best for that audience.

For example, you may discover that:

• Paid search generates significant SMB demand but very little enterprise pipeline.
• LinkedIn brings fewer total visitors but a higher concentration of enterprise accounts.
• Organic search performs strongly for one industry but poorly for another.
• A specific landing page converts mid-market buyers much better than enterprise buyers.
• One campaign creates many conversions but very few qualified deals.

The goal is to stop asking “What is our best marketing channel?”

Instead ask: “What is the best channel for each ICP we want to grow?”

Understand who each source is attracting

Knock combines attribution data with its person and company enrichment so you can understand the audience behind your marketing metrics.

The Who's Visiting Your Site? section breaks your audience down across dimensions such as:

Where are they headquartered?

See the headquarters distribution of the companies visiting your website.

Use this to understand whether your acquisition investments are reaching the geographic markets you want to grow.

What is their company size?

Analyze visitors by company size.

This can help you determine whether a campaign intended to generate enterprise demand is actually reaching large companies or primarily attracting smaller organizations.

Which type of companies?

See the distribution of company types, such as:

• Private
• Public
• Non profit
• Other

Which industries?

Analyze the industries represented in your website audience.

This is especially useful when your ICP targets specific verticals.

What is your leads' intent?

Knock distinguishes the reason visitors are engaging with your company.

Intent can include buying-related activity as well as other reasons for visiting, such as:

• Get support
• Buying
• Find a job

This prevents a source with a lot of non-buying traffic from appearing more valuable than it really is.

Where are your leads located?

Analyze the location of the people visiting and engaging with your company.

This can be different from company headquarters and is useful for understanding regional marketing performance.

What devices are they using?

See whether visitors are engaging through desktop, mobile, or other devices.

This can help explain conversion differences between campaigns or audiences.

What is their CRM status?

When your CRM is connected, Knock can show the CRM relationship of visitors.

This helps distinguish new demand from people and accounts your revenue team already knows.

Which landing pages generate the best results?

The Top Landing Pages by Conversion Performance table compares landing pages using downstream conversion metrics.

For each landing page, review:

• Visits
• Clicks
• Converted
• Deals

This helps you move beyond page traffic.

A landing page with a high number of visitors but very few deals may not be attracting the right audience or providing an effective conversion path.

A lower-traffic page that generates a high concentration of deals may be much more valuable.

Use this view together with your ICP analysis to determine which landing pages work best for each target audience.

Which campaigns and content drive conversion?

The Top UTM Content by Conversion Performance table shows performance associated with your captured UTM Content values.

For each UTM value, Knock can show:

• Visits
• Clicks
• Converted
• Deals

Use this report to compare individual ads, campaign creatives, links, messages, or other tagged marketing experiences.

This is particularly useful when several campaign assets share the same channel or source but produce very different downstream results.

How is attribution changing over time?

The How Is Your Attribution Changing Over Time? report shows how attribution performance changes across the selected period.

Switch between:

• Traffic
• Conversion

Use the trend to identify:

• Channels gaining or losing momentum.
• Changes in conversion performance.
• The effect of new campaigns.
• Seasonal shifts.
• Changes after reallocating marketing spend.
• Performance before and after changing a landing page or conversion experience.

Looking at attribution over time helps you avoid making decisions based on a single aggregate period.

How should I use the Attribution Analysis?

Start with your business objective, not the highest traffic number.

If you want more enterprise pipeline

Filter or analyze your enterprise ICP and identify:

1. Which sources bring enterprise companies.
2. Which sources generate enterprise buying intent.
3. Which sources convert those accounts.
4. Which sources create enterprise opportunities and revenue.
5. Which landing pages and conversion experiences perform best for that audience.

Then increase investment in the combinations that produce the strongest downstream results.

If you want to improve marketing efficiency

Find sources with:

• High traffic but low buying intent.
• High clicks but low conversion.
• High conversions but few deals.
• High spend but limited ICP penetration.
• Strong pipeline despite relatively low traffic.

These gaps show where you may need to change targeting, messaging, landing pages, conversion experiences, or budget allocation.

If you want to understand what to scale

Look for acquisition paths where several signals align:

• Strong ICP concentration.
• High buying intent.
• Strong conversion.
• Consistent deal creation.
• Meaningful pipeline or revenue.

These are usually more useful signals for scaling than traffic or lead volume alone.

Requirements and data availability

Install the Knock tag on your website so Knock can measure visitor and conversion activity.

Connect your CRM to include downstream information such as CRM status, opportunities, deals, pipeline, and revenue where available.

Use consistent attribution parameters, including UTM values, when you want to compare individual campaigns and content reliably.

Frequently asked questions

On this page

• How to Analyze Marketing Attribution and Pipeline with Knock AI
• Why does attribution analysis matter?
• How does Knock AI calculate attribution better than traditional tools?
• Where do I see the Attribution Analysis?
• What does the Attribution Analysis show?
• Visits
• Tried to convert
• Converted
• Pipeline Value
• Which marketing channels / source perform best?
• Compare attribution from traffic to revenue
• Which attribution works best for each ICP?
• Understand who each source is attracting
• Where are they headquartered?
• What is their company size?
• Which type of companies?
• Which industries?
• What is your leads' intent?
• Where are your leads located?
• What devices are they using?
• What is their CRM status?
• Which landing pages generate the best results?
• Which campaigns and content drive conversion?
• How is attribution changing over time?
• How should I use the Attribution Analysis?
• If you want more enterprise pipeline
• If you want to improve marketing efficiency
• If you want to understand what to scale
• Requirements and data availability
• Frequently asked questions
• What is marketing attribution in Knock AI?
• Can I analyze attribution by ICP?
• What is the difference between a channel and a source?
• Does Knock attribution include revenue?
• Can Knock show what type of audience each channel attracts?