Maximising ROI: Importing Phone Call Vetted Leads into Google Ads

In the digital age, businesses rely on various online marketing channels to generate leads and drive conversions. However, for certain industries, phone calls remain a vital source of qualified leads. To ensure a holistic view of lead generation and optimise marketing efforts, it’s crucial to import phone call vetted leads back into the Google Ads interface. In this blog post, we will explore the benefits of this approach and outline the steps to successfully import phone call vetted leads into Google Ads.

Benefits of Importing Phone Call Vetted Leads:

⚡Comprehensive Lead Tracking: Importing phone calls of leads that turned out to be qualified back into Google Ads allows you to consolidate your lead tracking efforts. By capturing and analysing both online and offline conversions, you gain a more comprehensive view of your marketing campaign’s effectiveness.

⚡Enhanced Conversion Attribution: Phone call conversions often represent high-value engagements. Importing these leads into Google Ads helps attribute conversions accurately, giving you insights into the true impact of your ad spend and optimising your return on investment (ROI).

⚡Refining Targeting and Optimisation: Incorporating phone call data enables you to identify patterns and trends related to high-converting leads. You can leverage this information to refine your audience targeting, ad messaging, and bidding strategies, leading to more effective campaigns.

⚡Closed-Loop Reporting: You can bridge the gap between offline and online activities, enabling closed-loop reporting. This allows you to assess the entire customer journey, from the initial ad impression to the phone call conversion, gaining valuable insights into your marketing funnel.

Steps to Import Phone Call Vetted Leads into Google Ads:

➡️Step 1: Set Up Conversion Tracking:

Ensure that you have conversion tracking set up in your Google Ads account. Create a conversion action specifically for phone call leads.

➡️Step 2: Track Phone Call Conversions:

Use call tracking software or a call analytics platform to track and record phone call conversions. Assign a unique phone number to each marketing campaign or channel to accurately attribute leads as well as record the GCLID.

➡️Step 3: Define Conversion Parameters:

Identify the parameters that determine a qualified phone call lead for your business. This could include call duration, intention to proceed or other relevant criteria.

➡️Step 4: Export Call Data:

Export the call data from your call tracking software or call analytics platform in a compatible format, such as a CSV file.

➡️Step 5: Prepare Import File:

Format the exported call data into a CSV file that aligns with Google Ads’ import requirements. Include details such as the GCLID, date and time to allow Google to map this back to specific campaigns.

➡️Step 6: Import Call Data into Google Ads:

Access the Google Ads interface and navigate to the Tools & Settings menu. Select “Conversions” and click on the “+” button to create a new conversion. Choose the “Import” option and upload the CSV file containing your call data.

➡️Step 7: Map Data Fields:

Map the fields in your CSV file to the appropriate conversion tracking fields in Google Ads. Ensure accurate data mapping to facilitate seamless integration and reporting.

➡️Step 8: Verify and Save:

Review the imported call data to ensure accuracy. Save the settings, and Google Ads will begin attributing imported phone call leads to your campaigns.

Conclusion 

Importing phone call vetted leads into the Google Ads interface provides invaluable insights into the effectiveness of your marketing campaigns. By consolidating online and offline conversions, you gain a comprehensive view of lead generation and can optimise your advertising efforts accordingly. Follow the outlined steps to seamlessly import phone call leads into Google Ads, enabling more accurate conversion tracking, refined targeting, and closed-loop reporting. Embrace this holistic approach to maximise your ROI and make data-driven decisions that drive business growth.