What Paid Search Activities Should You Automate in 2019?

TL;DR

In 2019, advertisers should automate repetitive tasks like budget management and keyword monitoring in their paid search campaigns to increase efficiency. Using Google’s AI-driven tools for data analysis can enhance performance, but marketers must maintain manual oversight to ensure creative elements like ad copy remain impactful. Testing automation through split campaigns is essential to gauge effectiveness.

Transcript

well hello there and welcome to the live broadcast of the recording of yet another episode of marketing scoop the s um Rush show that some brought to you and with lots of different wonderful guests focusing on different subjects like advertising SEO content and success stories this is our informal hello before we get going correctly Judith what's t... Read More

Key Insights

• Google is pushing ad automation to increase revenue and improve account performance, especially for poorly managed accounts.
• There is skepticism about Google's automation, with concerns over increased costs and loss of control for advertisers.
• Scripts are valuable tools for automating repetitive PPC tasks, allowing marketers to focus on strategy and growth.
• Automation is essential for large accounts, but manual input remains crucial for creative tasks like ad copywriting.
• AI can assist with pattern recognition in ad performance, but human creativity is still needed for impactful advertising.
• Testing automation through split campaigns is recommended to evaluate its effectiveness against manual management.
• Different industries may require varying levels of automation, depending on conversion complexities and budget constraints.
• Monitoring and preventing costly mistakes through automation are critical for maintaining effective PPC campaigns.

Questions & Answers

Q: Why is Google pushing ad automation?

Google is pushing ad automation to increase its revenue and improve the performance of poorly managed accounts. Automation requires significant data to train AI algorithms, and by encouraging advertisers to use these tools, Google can gather more data and potentially increase ad spend, benefiting its bottom line.

Q: What are the main concerns with Google's ad automation?

The main concerns include increased costs for advertisers due to potential CPC hikes, loss of control over campaign management, and the risk of Google prioritizing its revenue over advertiser ROI. Additionally, the 'black box' nature of AI algorithms makes it difficult for advertisers to understand how decisions are made.

Q: What role do scripts play in PPC automation?

Scripts automate repetitive PPC tasks, such as budget management, bid adjustments, and reporting. They allow marketers to focus on strategic aspects of campaigns by handling routine tasks efficiently. Scripts can also monitor accounts to prevent costly mistakes, such as broken landing pages or keyword conflicts.

Q: Are there industries where manual management is preferred?

Yes, industries with complex conversion paths or multiple conversion levels may benefit from manual management to ensure precision. Additionally, businesses with specific budget constraints or unique market dynamics might find manual oversight more effective in aligning campaigns with their strategic goals.

Q: How can AI assist in ad copy generation?

AI can help identify patterns in ad performance, such as the effectiveness of certain phrases or discounts, and suggest optimizations. However, AI-generated ad copy lacks the creativity and emotional impact that human-crafted messages can provide, making manual input crucial for compelling advertising.

Q: What activities should advertisers automate?

Advertisers should automate tasks like bid management, budget monitoring, and basic data analysis. Automation can also handle routine checks, such as ensuring landing page functionality and availability, allowing marketers to focus on strategic campaign development and creative tasks.

Q: How should advertisers test automation effectiveness?

Advertisers should conduct split tests by running parallel campaigns—one manually managed and the other automated. This approach allows them to compare performance metrics over several weeks, assessing whether automation delivers better results and identifying areas where manual intervention remains beneficial.

Q: What are the benefits of embracing automation?

Embracing automation can lead to more efficient campaign management, freeing up time for strategic planning and creative development. Automation can also enhance data analysis capabilities, improve response times to market changes, and reduce the risk of human error in repetitive tasks.

Summary & Key Takeaways

• The podcast discusses the shift towards automating paid search activities in 2019, driven by Google's push for AI integration. Experts Michael Fenlon and Nils Rooijmans share their insights on balancing automation with manual control to optimize campaign performance.

• Scripts are highlighted as essential tools for automating repetitive tasks, freeing marketers to focus on strategic growth. However, skepticism remains about Google's automation intentions, with concerns over increased costs and control loss.

• The episode underscores the importance of testing automation through split campaigns and emphasizes that while AI can aid in pattern recognition, human creativity is irreplaceable for crafting impactful ad copy.