Person-Level Buyer Journey

Stop guessing.
See every step
buyers actually take.

Every ad impression. Every site visit. Every research interaction. Mapped to a real person with verified identity — not a cookie, not a session, not a model.

TR
Tyler Rodriguez
VP Operations · Ironclad Logistics
● Active
📡
Off-Domain Intent
Fleet software research
Mar 3
SC
Sarah Chen
VP Marketing · Acme Corp
✓ Verified
📡
Off-Domain Intent Detected
3rd-party publisher network
Mar 3
🎯
Matched to ICP Campaign
Audience segment activated
Mar 5
📺
Ad Impression Served
Identity-resolved at bid time
Mar 7
👆
Ad Click · Person-level
Full creative context preserved
Mar 7
Closed-Won
Journey complete — 7 touchpoints
Mar 21
~1T
Impressions tracked daily
75–85%
Deterministic identity match rate
35B+
Daily intent signals connected
ROAS visibility vs. traditional analytics
The Basics

What is a Buyer Journey?

A buyer journey is the complete path a real person takes from first anonymous interest to closed-won revenue. Not sessions. Not cookies. Not modeled averages. One verified individual — every touchpoint connected.

🔗

Every touchpoint, one person

Ad impressions, site visits, content downloads, form fills — all mapped to a single verified identity across devices, channels, and weeks.

🪪

Identity-first, not model-first

Resolve the person first, then the complete journey reveals itself. No more fitting incomplete data into a model that guesses what happened.

Retroactive journey completion

Once identity is resolved — typically at an ad click — all earlier anonymous interactions are automatically connected back to the same person.

💰

Connected to real revenue

See which specific touchpoints influenced which specific deals — with pipeline and closed-won data attached to the person-level journey.

The Problem

Your buyer journey is a black hole

Your buyers don't follow a linear path. They research across channels, devices, and weeks. Traditional analytics see fragments — a cookie here, an IP there, a form fill somewhere else. They can't tell you it was all the same person.

Traditional analytics

  • Disconnected sessions with no unified view
  • Cookies and IPs — not real people
  • Credit goes to last click, not the full path
  • Can't connect cross-device or cross-channel
  • Revenue attribution requires manual stitching

Person-level buyer journey

  • One verified person — every touchpoint connected
  • Real identities with 75–85% deterministic match rate
  • Full path from intent signal to closed-won visible
  • Cross-channel and cross-device by default
  • Revenue proof without stitching or modeling
How It Works

From anonymous signal to closed-won

Five steps take you from fragmented data points to a single verified person with every touchpoint connected and revenue attributed.

1

Intent signal detected

Off-domain research behavior is captured across the open web — content reads, searches, comparison pages — before a buyer ever visits your site.

2

ICP match & activation

The signal is matched against your ideal customer profile. A targeted impression is queued — the right person, the right moment.

3

Identity resolved

At ad click or site visit, identity is resolved to a verified individual using 4.5B deterministic email records. Real name. Real role. Real company.

4

Journey assembled

Earlier anonymous interactions are retroactively connected to the verified person. The full path — from first signal to current moment — becomes visible.

5

Revenue connected

When the deal closes, that person's complete journey is tied to pipeline and revenue — giving you true attribution without a single manual stitch.

The Journey

Every touchpoint, one verified person

From off-domain intent signals to ad impressions to site visits to conversion — every interaction is mapped to a real person with timestamps, context, and behavioral data. Not cookies. Not sessions. People.

SC
Sarah Chen
VP Marketing · Acme Corp · 7 touchpoints
Identified
📡
Off-Domain Intent Detected
3rd-party publisher network
Mar 3, 2026 · 2:14 PM
🎯
Matched to ICP Campaign
Audience segment activation
Mar 5, 2026 · 9:38 AM
📺
Ad Impression Served
Identity-resolved at bid time
Mar 7, 2026 · 11:22 AM
👆
Ad Click — Person-Level
Full creative + placement context preserved
Mar 7, 2026 · 11:23 AM
🖥️
Page Visit · 4 pages · 3m 42s
First-party site engagement
Mar 10, 2026 · 3:47 PM
▶️
Video View — Product Demo
Completed 94% of runtime
Mar 10, 2026 · 3:51 PM
Closed-Won
Journey complete — all 7 touchpoints attributed
Mar 21, 2026 · 10:04 AM
The Funnel

From anonymous signal to known buyer

See exactly how your marketing funnel performs at every stage — with person-level identity attached at each step. Not cookie counts. Not session estimates. Real people flowing through your pipeline.

From Anonymous Signal to Known Buyer — Every stage resolved to a verified person
Off-Domain Intent
847 signals
847
ICP Match
312 people
312
Ad Impression
14,040 served
14,040
Ad Click
89 clicks
89
Page Visit
76 visits
76
Video View
52 watched
52
Identity Resolved
68 people
68
Cross-Channel

One person, every channel

Email, display, social, CTV, website visits, content downloads — one unified timeline per buyer. See how channels work together to move a deal forward, not in isolation.

📡

Off-Domain Intent

Research signals across 35B+ daily intent events before a buyer ever touches your brand.

🖥️

Display Ads

Impressions served and clicks attributed to a verified person — not a browser fingerprint.

📧

Email

Opens and clicks resolved to a real individual in your CRM, not just an email address.

📱

Social

LinkedIn, Meta, and more — ad views and engagement connected to the same person across channels.

📺

Connected TV

CTV impressions tied to a household and connected to the same individual across their journey.

🌐

Website Visits

Pages, dwell time, and content engagement mapped to a verified person — not a session ID.

📄

Content Downloads

Whitepapers, case studies, and demos tracked as journey milestones with identity attached.

🤝

Closed-Won

Every prior touchpoint retroactively attributed to the deal — proving the full marketing contribution.

Revenue Proof

Connect every touch to revenue

Move beyond vanity metrics. Connect marketing spend to pipeline and closed-won revenue with person-level data — the only attribution that actually matters to a CFO.

$2.4M
Pipeline Influenced
Deals touched47
Avg. touches to close12
First touch18%
Multi-touch64%
Last touch18%
📊

True multi-touch attribution

See every touchpoint that influenced a deal — weighted across first touch, multi-touch, and last touch — with the actual person at each step.

🔍

Spend reallocation on day one

Teams typically reallocate 17% of ad spend in the first month once they see which channels and creatives actually appear in closed-won journeys.

📈

3× ROAS visibility

Attribution that includes off-site intent signals and cross-channel impressions reveals 3× more revenue influence than last-click reporting alone.

🏆

Prove marketing's contribution

Show the CFO exactly which campaigns touched which deals — with verified person-level data, not a model that distributes credit across guesses.

ROAS visibility vs. last-click
17%
Avg. spend reallocation in month 1
~90%
Identity match rate on ad clicks
4.5B
Verified email records for resolution
What Makes This Different

We deliver the journey — not just enable attribution

Traditional attribution tools require you to stitch together fragmented data from multiple vendors. Person-level buyer journey delivers a single, complete timeline — from first anonymous touch to closed-won — as a unified output.

Identity-first, not model-first

Most attribution starts with a model and fits incomplete data into it. Buyer journey starts with verified identity — resolve the person first, then the journey reveals itself naturally.

Retroactive gap closure

Earlier anonymous interactions are automatically connected once identity is established. Gaps in the journey close without manual stitching — the timeline fills in retroactively.

Off-domain signals included

Research that happens before a buyer ever visits your site is captured and connected — intent signals from across the open web become part of the verified journey.

Revenue attached at the person level

Every touchpoint in the journey is linked to real closed-won data — not modeled pipeline. You see which interactions actually appeared in deals that closed.

Real-World Applications

How teams put buyer journey to work

Buyer journey mapping isn't just for enterprise marketing ops. Here's how teams of every size are using person-level journey data today.

B2B SaaS

Marketing proves pipeline contribution

Show exactly which campaigns touched which deals — display, email, CTV, and content — with verified person-level data at every step from first intent signal to closed-won.

Result: CFOs approve larger marketing budgets when they can see the exact path from spend to revenue at the person level.
DTC Brand

ROAS visibility across every channel

Connect off-domain intent signals, ad impressions, site visits, and purchases to a single verified person — revealing which channels actually influenced each conversion.

Result: Reallocation of 17% of ad spend in month one toward the channels that actually appear in closed journeys.
Enterprise Sales

Sales walks in with full journey context

Before every call, reps see the prospect's complete journey — what content they consumed, which ads they saw, what topics they researched off-domain — giving them a real conversation starter.

Result: First conversations open warmer because sales already knows exactly what the buyer has been researching.
Agency / Media Buyer

Prove the value of every channel to clients

Show clients which impressions, clicks, and content interactions appeared in closed deals — with person-level verification. End the debate over which channel gets credit.

Result: Client retention improves when agencies can show the full journey, not just last-click conversion data.
Revenue Operations

One truth for marketing and sales

Eliminate the MQL handoff debate. With a shared person-level timeline, marketing and sales see the same data — who touched a prospect, when, and what they engaged with.

Result: Alignment improves when both teams are looking at verified journey data rather than competing attribution models.
B2B Demand Gen

Find buyers before they raise their hand

Off-domain intent signals are connected to the journey before a buyer ever fills out a form. Reach and nurture prospects while they're in research mode — not just when they convert.

Result: Pipeline accelerates when demand gen acts on intent signals weeks before the competition even knows a prospect exists.
Common Questions

FAQ

How is this different from traditional marketing attribution?
Traditional attribution fits incomplete cookie-based data into a pre-chosen model — first-touch, last-touch, or multi-touch. Person-level buyer journey starts with verified identity instead. Resolve the real person first, and the complete journey reveals itself without manual stitching or modeling assumptions.
What does retroactive journey completion mean?
Once a buyer's identity is resolved at any point — typically at an ad click or form fill — all earlier anonymous interactions (site visits, intent signals, impressions) are automatically connected to that verified person. Gaps in the journey close retroactively, so you see the full path even when early interactions were anonymous.
How many touchpoints does a typical B2B buyer journey have?
Most B2B deals involve 10–15 interactions across multiple channels and devices before a decision is made. Without person-level identity, the vast majority of those touchpoints are invisible to your analytics — they look like separate, unrelated sessions rather than a single buyer's path.
What is a deterministic match rate?
Deterministic identity resolution means matching a person to a verified record — typically a known email address — rather than probabilistic modeling. A 75–85% deterministic match rate means the vast majority of your ad clicks and site visits are resolved to an actual named individual, not an inferred profile.
Is buyer journey data privacy-compliant?
Reputable buyer journey platforms operate under SOC 2 Type 2, GDPR, CCPA, and IAB TCF standards. Identity resolution is built on consented publisher networks and deterministic email records. Always verify the compliance posture of any platform before activation.
How quickly can I see buyer journey data?
Most teams begin seeing person-level journey data within the first week of a free proof-of-value engagement. Early insights — which channels appear in closed-won journeys, where buyers drop off, which intent signals precede deals — often surface within the first 30 days.

See your buyer journeys in 7 days.

Free proof of value. No commitment. Real person-level data from your own campaigns.

Start free proof of value → SOC 2 Type 2  ·  GDPR  ·  CCPA compliant