The new way to do LinkedIn Attribution (that actually works)

You’ve been running LinkedIn campaigns for a while now, but deep down, you’re still wondering: Is this even working?

It’s easy to get distracted by vanity metrics like clicks and impressions. But what really matters is understanding which campaigns and user actions are actually creating the outcomes you care about.

That’s where LinkedIn attribution comes in. It’s the missing piece that helps you identify exactly what’s driving impact in your campaigns.

Let’s dive into how you can stop guessing and start knowing exactly what’s driving your results on LinkedIn.

What is LinkedIn attribution?

LinkedIn attribution is a way to track and measure how your LinkedIn campaigns influence your business goals.

Attribution works by assigning credit to different touchpoints in the customer journey. Instead of just focusing on a single click or interaction, LinkedIn attribution shows you how all the steps work together to achieve your goals.

With attribution, you can see which campaigns, ads, or even specific audience segments are driving the most value. It gives you a clearer picture of what’s working and what’s not, so you can refine your strategy and maximize your ROI.

How does the LinkedIn attribution model work?

Attribution models aren’t all the same. They each look at your customer’s journey differently, helping you understand what led to the conversion. But how does LinkedIn use these models to track user interactions, and what does that mean for your marketing strategy?

Let’s break it down.

Attribution models are like different lenses you can use to view your customer journey. Here are a few popular ones:

• First-click attribution: This model gives credit to the very first interaction a user has with your brand. So, if someone clicks on your LinkedIn ad and later signs up for a demo, that first click gets all the credit.
• Last-click attribution: The opposite of first-click attribution, this model assigns all credit to the last action before the desired outcome. For example, if the user clicks on your LinkedIn post just before signing up, that gets the credit.
• Linear attribution: Here, all touchpoints along the customer journey share the credit equally. Whether the user first clicked an ad or later visited your page, each step counts.
• Time-decay attribution: The closer an action is to the conversion, the more credit it receives. So, if someone interacts with your ad two weeks ago and then later visits your site, the visit gets more credit than that initial click.
• U-shaped attribution: This one splits the credit, giving 40% to both the first and last interactions, and the remaining 20% is distributed across the middle steps. It balances the importance of initial interest and final decision.

Understanding the LinkedIn attribution window

The attribution window is the timeframe during which LinkedIn will attribute a conversion to an interaction. In other words, it defines how far back in time you look to determine which actions should be credited for a final outcome.

Why should you care? Well, the length of your attribution window can significantly impact how you interpret the success of your campaigns.

Here’s how it works:

• Short attribution window: A shorter window (say, 7 days) focuses on quick results; ideal for products or services with a fast sales cycle. This gives you a snapshot of what’s driving immediate results, but you might miss out on customers who take longer to convert.

• Long attribution window: A longer window (30 days or more) paints a fuller picture, capturing users who take time to make a decision. This is perfect for longer sales cycles, where customers require multiple interactions before taking action. However, the longer the window, the more diluted each interaction may appear.

The right window depends on your conversion goals and customer behavior. The key is balancing timing and accuracy to get the most meaningful insights about your LinkedIn campaigns.

Pro tip: If your numbers look off, the fix is usually set up first, not the window, and an attribution checklist helps you verify the basics.

Best practices for LinkedIn attribution

Attribution is a powerful tool, but to get the most out of it, you need to use it correctly.

Here are a few best practices to help you get the most accurate, actionable insights:

• Start with clear objectives: Before you dive into attribution, get crystal clear on what success looks like for you. Are you looking to drive buyer awareness, generate leads, or achieve specific outcomes? Your goals should shape your attribution model and window length to ensure you’re tracking the right actions.
• Don’t settle for last-click: While last-click attribution is easy, it misses the whole story. Multi-touch attribution provides deeper insights by showing how different stages of the customer journey (such as clicks on your LinkedIn ad and visits to your landing page) work together to drive results.
• Test your attribution window: One size doesn’t fit all. If you have a longer sales cycle, a longer attribution window (30 days or more) will give you a better sense of how your ads are impacting customers over time. But if you’re focused on quick wins, a shorter window might work better.
• Track every interaction: From the first impression of your ad to the final action, every interaction counts. Track every click, visit, and engagement to understand which actions are truly moving the needle.
• Use insights to optimize: Attribution doesn’t stop at the analysis stage. Once you’ve got the data, act on it. Identify which ads and interactions are driving the most significant results and invest more in those areas. Keep testing and adjusting to get the best return on your LinkedIn marketing efforts.

Usermaven vs. LinkedIn Revenue Attribution Report (RAR)

Thinking about attribution tools? Here’s a straight, useful comparison between Usermaven and LinkedIn RAR: what each does, where they excel, and which one might be the better fit for your business needs.

What is Usermaven?

Usermaven is a simple yet powerful all-in-one analytics and attribution tool that helps you track customer interactions across multiple channels. It connects your marketing efforts, user actions, and revenue, giving you clear insights into what’s driving growth. With real-time data and multiple attribution models, Usermaven helps you see which channels and touchpoints are most effective in converting leads into customers.

What is LinkedIn Revenue Attribution Report (RAR)?

LinkedIn’s Revenue Attribution Report (RAR) is built into the LinkedIn Ads/Business Manager platform. It links LinkedIn campaigns to CRM data, helping you track how LinkedIn leads and opportunities convert into revenue. It’s tailored for businesses focused on understanding the bottom-of-funnel impact of their LinkedIn ads, especially in B2B contexts.

(image: source)

Quick comparison

Aspect	Usermaven	LinkedIn RAR
Scope of tracking	End-to-end: Tracks web, product usage, marketing efforts, and revenue across all channels.	Focuses on LinkedIn marketing and CRM to revenue.
Ease of setup & use	Simple, no-code setup and a user-friendly interface for marketers.	Requires CRM sync and LinkedIn Business Manager setup.
Real-time vs delayed data	Real-time data on user behavior and conversions.	Data can be delayed due to CRM sync and sales cycles.
Flexibility & attribution models	Offers flexible attribution models (first-touch, multi-touch, etc.).	Limited attribution tied to LinkedIn ads and CRM.
Use case strength	Ideal for holistic analytics: product-led growth, SaaS, and multi-channel marketing.	Best for LinkedIn-focused ad strategies and B2B lead-gen.

Usermaven: The right fit for LinkedIn attribution (and how it works)

If you’re looking for a more well-rounded view of your customer journey, Usermaven might be just what you need. 

While LinkedIn RAR provides solid insights into ad performance, it’s focused on just one channel: LinkedIn ads. Usermaven, on the other hand, brings everything together. It tracks not just LinkedIn, but also your organic, social, and product usage data in one place.

With Usermaven, you can see how every interaction, from the first visit to product use, contributes to your conversions. It’s a much more holistic approach that lets you see the bigger picture.

Plus, integrating your LinkedIn ads with Usermaven is incredibly easy. No need for complicated configurations. Just a quick setup, and you’re ready to go. 

Let’s take a closer look at how Usermaven enhances LinkedIn attribution.

Multi-touch attribution for LinkedIn campaigns

With Usermaven, you’re not just limited to tracking the last click. Instead, it gives you the flexibility to apply multi-touch attribution to your LinkedIn campaigns.

Instead of giving all the credit to a single event, Usermaven shows you how various interactions across the funnel contribute to the outcome. This means you can truly understand what’s driving results and adjust your strategy accordingly.

Paid ads performance dashboard

Usermaven makes it easy to track the performance of your LinkedIn ads with a paid ads performance dashboard. This breakdown lets you analyze your campaigns by ad network, campaign, ad set, and individual ads. With these insights, you can quickly pinpoint what’s driving results and optimize accordingly.

180-day lookback window 

Not all conversions happen immediately, especially with longer sales cycles. With Usermaven’s 180-day lookback window, you can track LinkedIn interactions and their influence over a longer period. This means you can capture the whole journey of users who may take weeks or months to convert, ensuring that LinkedIn’s role in the decision-making process isn’t overlooked.

This extended window allows you to move beyond short-term wins, providing a clearer view of how LinkedIn influences long-term goals. With more accurate data, you can refine your campaigns and strategy over time.

Going beyond clicks

Usermaven goes beyond just tracking ad clicks to include visitor behavior on your site. You can see metrics such as bounce rate, session duration, and conversion paths for visitors from LinkedIn. Understanding how LinkedIn influences user behavior helps you optimize your ads and content to better align with audience engagement.

When combined with paid search attribution data, you get a complete view of how all your channels work together to drive conversions.

💡 Note: For step-by-step guidance on how to set up LinkedIn attribution in Usermaven, check out our help doc here!

Optimize your LinkedIn campaigns with accurate attribution

Getting LinkedIn attribution right is key to understanding the actual impact of your efforts. It helps you identify which customer actions drive conversions, so you can optimize your campaigns for maximum impact.

With a marketing attribution tool like Usermaven, you get more than just surface-level insights. You can dive deep into multi-touch attribution, track performance across all stages of the customer journey, and tailor your strategy to what delivers real results.

Ready to see your LinkedIn attribution in a whole new light? Book a demo today, and let’s show you how Usermaven can give you the insights you’ve been missing.

FAQs about LinkedIn attribution