Unlock the Full Potential of Your LinkedIn Campaigns Wondering if your LinkedIn Ads are truly driving leads and customers? While platforms like Google Analytics reveal traffic sources, they miss the critical piece: who converts. Learn how to capture LinkedIn Ads data in Forminator using UTM parameters and hidden fields to pinpoint your top-performing campaigns.
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Why Tracking LinkedIn Ads Performance Matters
Every dollar spent on LinkedIn Ads should deliver measurable ROI. Yet, most marketers struggle to answer:
- Which campaigns generate the highest-quality leads?
- How much revenue stems from Sponsored Content vs. Text Ads?
- Are your ad dollars fueling CRM pipelines or vanishing into thin air?
Without linking ad efforts to conversions, optimization is guesswork. Here’s how to fix it.
4 Steps to Capture LinkedIn Ads Data in Forminator
1. Implement UTM Tags in Your LinkedIn Campaign URLs
UTM parameters are simple code snippets added to your ad URLs. They act as digital breadcrumbs, telling tools like Attributer where visitors originated.
Example for a Brand Campaign:
- utm_medium: Traffic type (e.g.,
paidsocial) - utm_source: Platform (e.g.,
linkedin) - utm_campaign: Campaign name (e.g.,
brand-campaign)
Pro Tip: Use consistent naming conventions to simplify reporting.
2. Install Attribution Code & Configure Hidden Form Fields
Attributer (or similar SaaS tools) identifies traffic sources by analyzing UTM data and browser cookies. After a 14-day free trial setup:
Add the code snippet to your website header.
Embed hidden fields in Forminator forms to auto-capture:
- Channel (e.g., Paid Social)
- Channel Drilldown 1 (e.g., LinkedIn)
- Channel Drilldown 2 (e.g., Brand Campaign)
- Landing Page URL
Forminator’s hidden field feature ensures seamless data capture without disrupting user experience.
3. Automate Lead Source Tracking
When a visitor from a LinkedIn ad submits a form, Attributer injects UTM data into hidden fields. The result? Each Forminator submission includes:
- Contact details (name, email)
- Campaign source (e.g.,
Paid Social > LinkedIn > Brand Campaign) - Landing page (e.g.,
/blog/marketing-trends-2023)
This data flows directly into your CRM (Salesforce, HubSpot) or spreadsheets for deeper analysis.
4. Analyze & Optimize Campaign Performance
With LinkedIn Ads data now tied to leads, explore insights like:
Report 1: Leads by Channel
- Compare Paid Social vs. Organic Search vs. Paid Search.
- Identify underperforming channels to reallocate budgets.
Report 2: Customers by LinkedIn Campaign
- Measure ROI of
Brand Campaignvs.Product Launch. - Double down on campaigns driving actual revenue.
Report 3: Revenue by Ad Type
- Evaluate Sponsored Content vs. Text Ads.
- Discover which placements convert high-value customers.
What Is Attributer & Why Should Marketers Care?
Attributer is a lightweight code snippet embedded on your website to solve one critical problem: knowing exactly where your leads originate.
Unlike basic analytics tools, it goes beyond tracking traffic. Here’s how it works:
- Detects Visitor Sources: Analyzes UTM parameters, referral URLs, and other technical signals (similar to Google Analytics) to identify if a visitor arrived via LinkedIn Ads, organic search, paid social, etc.
- Classifies Channels: Automatically categorizes visitors into channels like Paid Social, Organic Search, or Paid Search.
- Stores Data Persistently: Saves attribution data in a browser cookie, ensuring continuity even if the user navigates away and returns later.
- Captures Form Submissions: When a lead fills out a Forminator form, Attributer injects attribution data (e.g., campaign name, channel) into hidden fields, seamlessly linking conversions to their source.
Why It’s Essential for LinkedIn Ads Tracking:
- Full-Funnel Insights: Track every lead—not just LinkedIn Ads—to see cross-channel performance.
- Cookie-Based Accuracy: Eliminate data loss from bounced sessions or multi-page visits.
- Landing Page Intelligence: Identify which pages (e.g.,
/pricing,/blog) drive conversions, refining your content strategy.
3 Powerful Reports to Optimize LinkedIn Ads ROI
With 15+ years in marketing analytics, I’ve seen how granular attribution transforms campaigns. Below are actionable reports you can build using Attributer + Forminator:
1. Leads by Marketing Channel
What It Shows:
- Monthly lead volume across channels (e.g., Paid Social vs. Organic Search).
- Trends over time (July to December).
Why It Matters: Discover if your LinkedIn Ads budget aligns with results. For example, if Paid Search drives more leads than Paid Social, reallocating funds could boost ROI.
Pro Tip: Use filters like “Week” or “Day” to spot short-term trends or campaign spikes.
2. Customers by LinkedIn Campaign
What It Shows:
- Customer acquisition per LinkedIn Ads campaign (e.g., Brand Campaign, Music Licensing).
- Monthly performance breakdown.
Why It Matters: Identify high-converting campaigns. If Brand Campaign generates 80% of customers in Q4, doubling down could maximize returns.
Pro Tip: Compare campaigns against metrics like Customer Lifetime Value (CLV) for deeper ROI analysis.
3. Revenue by LinkedIn Ad Type
What It Shows:
- Revenue generated by ad formats:
- Sponsored Content (newsfeed ads)
- Sponsored Messaging (InMail ads)
- Text Ads (sidebar placements)
- Monthly revenue trends (e.g., Text Ads generated $12k in July).
Why It Matters:
Determine which ad types deliver the highest revenue. If Sponsored Content outperforms others, prioritize it in your strategy.
Pro Tip: Layer in cost data to calculate ROAS (Return on Ad Spend) for each ad type.
Ready to Transform Your Analytics?
Start your 14-day Attributer trial today—no credit card required. Implement tracking in under 10 minutes and unlock your first campaign report by tomorrow.