B2B Leads Generation Conversion Trackings

Importing Google Analytics 4 (GA4) leads to Google Ads for conversion tracking is not recommend!

1. Attribution Discrepancies 🤯
GA4 and Google Ads attribute credit to different marketing channels.

• GA4: Spreads the Credit GA4 uses a data-driven attribution model by default. This model analyzes all the touchpoints in a customer's journey and distributes credit proportionally across the different channels and campaigns that contributed to the conversion.
  For example, if a user clicked on a Google Ad, then came back via an organic search, and finally converted after a social media visit, GA4 would give partial credit to all three channels.
  This provides a more holistic view of the customer journey.

• Google Ads: Prioritizes Ad Clicks Google Ads, on the other hand, is designed to attribute conversions primarily to ad clicks. While it offers different attribution models, the most common is a last-click model, where the ad that received the final click before the conversion gets 100% of the credit. Even with other models, Google Ads will always prioritize the interaction with your ad campaigns. When you import a GA4 conversion, you're essentially bringing in a conversion that may have already had its credit diluted, and then Google Ads tries to assign it full credit to an ad click, creating a conflict.

This differences in attribution models leads to a significant problem: Google Ads may overstate the value of its campaigns by taking full credit for a conversion that GA4 knows was influenced by multiple channels. This can lead you to believe your ad campaigns are more effective than they actually are.

2. Counting Conversions Differently 🔢

GA4 and Google Ads also have different default behaviors for how they count conversions.

• GA4: "Once Per Session" By default, GA4 often counts a single conversion event (like a "Lead" event) only once per session. For example, if a user submits two different forms during the same browsing session, GA4 might only record one "Lead" conversion, preventing duplicate data from cluttering your reports.

• Google Ads: "Every Conversion" Google Ads, however, can be configured to count every conversion that occurs after an ad click. If a user clicks on an ad and then submits three different forms, Google Ads can record all three as separate conversions, giving you a more granular view of user actions after the click.

Importing a GA4 conversion into Google Ads can create a situation where your GA4 lead count is much lower than the count you expect in Google Ads, because Google Ads is counting every occurrence while GA4 is not. This makes it difficult to reconcile your data and understand the true performance of your campaigns.

3. Time Zone and Data Processing Discrepancies ⏳

• Time Zones: GA4 and Google Ads operate on different time zones, and this can lead to data appearing to be from different days. GA4 uses the property's time zone, while Google Ads uses the account's time zone. This mismatch can make it hard to align your reports and analyze day-by-day performance accurately.

• Data Processing: GA4 data can have a latency of up to 48 hours before it's fully processed and available. Google Ads, on the other hand, often shows conversion data within a few hours. This delay means that when you import a GA4 conversion, Google Ads is getting a delayed, and potentially incomplete, signal. This is particularly problematic for automated bidding strategies that rely on real-time data to optimize campaigns.

4. Poor Optimization Signals 🚦

This is arguably the most critical consequence. Automated bidding strategies in Google Ads (like Target CPA or Maximize Conversions) rely on a consistent, reliable stream of conversion data to make real-time decisions.

• When you feed Google Ads a conversion signal that is delayed (up to 48 hours) and attributively diluted (from GA4's models), you're essentially giving the algorithm bad information. It's trying to optimize for a conversion that may have happened two days ago and was influenced by other channels.

• This leads to the algorithm making suboptimal bids, potentially allocating your budget to less effective keywords and audiences. Instead of accurately learning what drives your leads, the algorithm becomes confused, leading to wasted ad spend and poor campaign performance.

The Better Alternative: Use Google Ads' Own Conversion Tracking

The solution is simple: use Google Ads' native conversion tracking to measure your leads.

1. Set up Conversion Actions: Create specific conversion actions directly within your Google Ads account for each key lead action (e.g., "Form Submission," "Phone Call," "Brochure Download").

2. Install the Tag: Place the Google Ads conversion tag on the thank-you pages or trigger it with an event (using Google Tag Manager) for each of these actions.

3. Optimize: Now, Google Ads has a direct, clean, and real-time signal to optimize against. The conversions will be attributed correctly, counted accurately, and available instantly.

This approach ensures that your Google Ads campaigns are being optimized on the most reliable data possible, leading to better performance and a clearer understanding of your return on ad spend.

Conclusions

While it seems convenient, the fundamental differences in how the two platforms measure and attribute conversions can lead to significant issues. This practice can muddy your data, leading to poor optimization decisions, wasted ad spend, and a lack of clarity on what's truly driving your leads.