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πŸ“– Complete Guide

B2B Deals Have 8+ Touchpoints.
You're Only Tracking the Last One.

The average B2B deal involves 8 touchpoints across 3+ channels over 97 days. Last-click attribution gives 100% credit to the final touch and zero to everything that came before. Multi-touch attribution fixes this β€” and it's the only way to accurately measure LinkedIn's impact.

8+ avg. touches per B2B deal
97 days avg. sales cycle
6+ people in buying committees

Single-Touch Attribution Is Killing Your Marketing

When you only credit the last click, you systematically underfund awareness channels (LinkedIn) and overfund capture channels (Google). The result: pipeline dries up and nobody knows why.

πŸ“‰

LinkedIn Gets Zero Credit

A prospect sees 5 LinkedIn ads over 2 months, then Googles your brand and books a demo. Last-click attribution gives Google 100% credit. LinkedIn gets zero. Your board cuts LinkedIn budget. 6 months later, pipeline drops 40%.

LinkedIn creates demand Google captures
πŸ‘₯

Buying Committees Are Invisible

The VP sees your LinkedIn ad. The Director downloads your case study. The Manager books the demo. Last-click only sees the Manager. The VP and Director's LinkedIn touches β€” the ones that actually initiated the buying process β€” disappear.

6+ people touch every deal
⏱️

90-Day Cycles Break Everything

LinkedIn's max attribution window is 90 days. Most B2B deals take longer. A touch from month 1 that started the whole journey falls outside the window and gets attributed to "direct." LinkedIn's impact is systematically undercounted.

90+ day cycles = broken attribution

How Multi-Touch Attribution Actually Works

Multi-touch attribution tracks every touchpoint across the full buyer journey and distributes credit across all channels that influenced the deal. Here's how to implement it.

01

Track All Touchpoints

Connect all marketing channels to your CRM. OLA handles LinkedIn β†’ HubSpot. Google has native tracking. Email, events, and content need UTM parameters. Every touch on every person at the account gets logged.

02

Choose Your Model

Multi-touch (weighted) is the gold standard for B2B. Linear (equal split) is a simpler alternative. First-touch and last-touch are useful supplements but shouldn't be your primary model. OLA uses multi-touch by default.

03

Attribute at Account Level

B2B attribution must work at the company level, not person level. When a deal closes, aggregate all touches from all contacts at that company and distribute credit across campaigns. OLA does this automatically.

Attribution Models, Real Examples & Implementation

Compare models, see a real 8-touch deal journey, and understand what happens when attribution is wrong vs right.

πŸ”€ Attribution Models

Which Model Should You Use?

Four attribution models, compared on the same $100K deal. Multi-touch is the most accurate for B2B β€” and it's what OLA uses by default.

First Touch

100% credit to the first interaction. Overcredits awareness. Undercredits bottom-of-funnel.

Last Touch

100% credit to the last interaction. Overcredits closing campaigns. Undercredits awareness.

Linear

Equal credit to all touchpoints. Fair but doesn't weight by significance.

Multi-Touch (OLA)

Weighted by touchpoint significance (timing, engagement depth, role). Most accurate for B2B.

Attribution Models Compared
$100K Deal β€” How Each Model Credits LinkedIn
First Touch
100% to first LinkedIn ad
$100K
Last Touch
100% to last ad before close
$100K
Multi-Touch (OLA)
Weighted across 4 touchpoints
$100K*
Linear
Equal split: 25% each touch
$25K ea.
*Multi-touch credits the full $100K as "influenced" but weights individual campaign contributions by touchpoint significance. Most accurate for B2B.
πŸ—ΊοΈ Real Deal Example

8 Touches, 97 Days, $85K Deal

A real B2B deal journey showing how multiple channels and multiple people contribute to a single closed deal. Without multi-touch attribution, LinkedIn gets zero credit β€” even though it had 5 of the 8 touchpoints.

LinkedIn: 5 Touches

Sponsored content, retargeting click, case study ad, product demo ad, and CEO awareness touch. Started and sustained the buying process.

Organic: 1 Touch

VP followed the company page after first ad exposure. A LinkedIn-influenced action that standard tracking misses.

Google: 1 Touch

Brand search on Day 45. Happened BECAUSE of LinkedIn awareness. Last-click would give Google 100% credit here.

HubSpot: 1 Touch

Demo booking. The conversion event. But the 7 touches before it are what made it happen.

Real B2B Deal β€” 8 Touches Over 97 Days$85K DEAL
1
Day 1 β€” LinkedIn Ad
VP saw thought leadership sponsored post
2
Day 12 β€” Organic
VP followed company page
3
Day 28 β€” LinkedIn Ad
Director clicked retargeting ad β†’ case study
4
Day 45 β€” Google Search
Manager searched brand name β†’ demo page
5
Day 52 β€” LinkedIn Ad
VP clicked product demo ad
6
Day 60 β€” HubSpot
Demo booked
7
Day 78 β€” LinkedIn Ad
CEO saw case study ad during evaluation
8
Day 97 β€” Closed Won
$85,000 deal closed
Without multi-touch: Google gets 100% credit (last click). With OLA: LinkedIn's 5 touches get proper attribution.
⚠️ What's at Stake

Attribution Errors Have Real Consequences

Bad attribution doesn't just produce wrong reports β€” it leads to wrong budget decisions. When LinkedIn can't prove ROI, it loses budget. When it loses budget, pipeline drops. The cause is invisible because the attribution was broken.

Without: LinkedIn Gets Cut

Board sees LinkedIn as "unmeasurable." Budget moves to Google. Pipeline drops 3-6 months later. Nobody connects the two events.

With OLA: LinkedIn Gets Proven

Board sees LinkedIn at 3.9x ROAS. Budget increases. Pipeline grows. The data drives the decision, not guesswork.

The Cascade Effect

LinkedIn creates awareness β†’ Google captures search β†’ CRM closes deal. Cut LinkedIn and the top of the cascade dries up. Everything downstream suffers.

$29/month Insurance

OLA costs $29/month. A bad budget decision based on broken attribution costs $100K+ in lost pipeline. The math is simple.

What Happens Without Multi-Touch
Without Attribution
LinkedIn "ROAS": unknown
Google "ROAS": 8x (overcredited)
Board decision: cut LinkedIn
6 months later: pipeline drops 40%
Nobody knows why.
With OLA Attribution
LinkedIn ROAS: 3.9x (proven)
Google ROAS: 2.4x (accurate)
Board decision: increase LinkedIn
6 months later: pipeline grows 35%
Data-driven growth.
πŸ† Managed LinkedIn Ads

Want an Agency to Run Your LinkedIn Ads for You?

OLA is built by GrowthSpree β€” a top-tier B2B performance marketing agency that manages LinkedIn Ads, Google Ads, and full-funnel demand generation for scaling SaaS companies. 300+ clients served. If you want expert hands on the wheel, book a free audit.

$12M+
LinkedIn Ad Spend Managed
300+
B2B SaaS Clients
3.8x
Avg. LinkedIn ROAS
40%
Avg. CPL Reduction
Full LinkedIn Ads management
Creative strategy & copy
ABM campaign design
HubSpot RevOps setup
Weekly reporting & optimization
Google Ads + multi-channel

Free 30-minute audit β€’ No obligation β€’ See where your LinkedIn budget is leaking

Frequently Asked Questions

Multi-touch attribution is a model that tracks all marketing touchpoints that influenced a deal and distributes revenue credit across them. Instead of giving 100% credit to the first or last touch, it recognizes that B2B deals involve multiple interactions across channels, people, and months.
B2B sales cycles average 90+ days with 8+ touchpoints across 6+ buying committee members. Single-touch models (first-click, last-click) miss 7 of those 8 touches. This systematically undercredits awareness channels like LinkedIn and overcredits bottom-of-funnel channels like Google Search.
OLA tracks all LinkedIn touchpoints (impressions, clicks, organic engagement) at the company level and matches them to HubSpot deal records. When a deal closes, OLA identifies all LinkedIn campaigns that touched any contact at that company and distributes revenue credit based on touchpoint timing and significance.
Technically, yes β€” by manually exporting LinkedIn demographic data, matching to CRM records, and building your own attribution model in spreadsheets. This typically takes 8-12 hours per quarter and can't handle real-time data. OLA automates the entire process for $29/month.
Multi-touch (weighted) is the most accurate for B2B SaaS. It credits all channels proportionally based on their contribution to the deal. OLA uses this model by default. For reporting to boards, "influenced revenue" (any deal with at least one LinkedIn touch) is also useful.
OLA aggregates touches at the account (company) level. If the VP sees an ad, the Director clicks a case study, and the Manager books a demo β€” all three touches count toward the same deal. This is critical for B2B where buying decisions involve multiple people.

Stop Giving Google Credit
for LinkedIn's Work.

Multi-touch attribution that shows LinkedIn's true revenue impact. Connected to HubSpot.

$29/month

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