In the fast-paced world of PPC advertising, marketers are constantly seeking ways to streamline their workflows and improve performance.
Managing PPC campaigns efficiently requires a delicate balancing act of multiple tasks:
Analyzing data.
Optimizing bid strategies.
Testing creatives.
Reporting performance.
And so much more.
While AI and machine learning have been around in PPC for years, a new wave of AI tools for streamlining productivity and workflows has made its way into the PPC scene.
Whether it’s automating repetitive tasks, enhancing audience targeting, or analyzing vast datasets, AI tools are reshaping how PPC professionals work.
Who doesn’t want to save time doing repetitive, busy work tasks?
In this article, we’ll explore several unconventional ways AI tools can help PPC marketers save time, increase efficiency, and make smarter decisions.
Using AI To Automate Data Interpretation And Trend Insights
PPC campaigns can generate enormous amounts of data that need to be consistently analyzed and interpreted.
AI tools outside of the standard Google and Microsoft Ads platforms can help streamline this process by helping with tasks like:
Quickly summarizing key trends.
Look for patterns in performance data.
Identify any data anomalies for further analysis.
These insights can enable marketers to move from data to action faster.
Using AI Tools For Trend Identification And Insights
If you’d rather not manually sift through reports identifying changes in performance metrics changes, you can actually feed campaign data into ChatGPT (or similar AI tools) to receive summaries that highlight performance trends.
For example, they can help identify seasonal changes in performance or pinpoint potential issues, such as a sudden dip in conversion rate.
Say you run 20 different campaigns in Google Ads and start to see a significant drop in conversion rates from the platform. It can be daunting to immediately pinpoint the cause of the issue.
By processing raw performance data from your campaigns, these AI tools can quickly analyze the data and provide insight into not only where the problem(s) can lie, but also glean insights as to why performance has shifted, like:
Ad fatigue.
Increased competition.
A shift in consumer behavior.
Using AI tools in this capacity helps marketers cut down on analysis time while helping to identify core issues faster, allowing for quicker optimization.
This automation saves hours of manual work, enabling you to focus on more strategic decision-making instead of spending time analyzing large datasets.
Enhancing Competitor Analysis And Strategy Development
Keeping up with competitors is crucial in the PPC landscape, but the task at hand can be time-consuming and complex.
AI tools simplify this process by providing insights into competitors’ strategies, allowing you to stay one step ahead.
There are plenty of tools to help drive competitor insights, whether in the Google Ads platform, third-party tools, or AI tools.
If you’re looking to take the analysis a step further, you can input reports from other competitive analysis tools into ChatGPT (or a similar tool) to receive a quick summary that highlights a competitor’s recent actions.
For example, this could include information like:
Shifts in bidding strategies.
Introduction of new ad copies.
Keywords being targeted.
Based on this data, the AI tools can suggest ways to adjust your own campaigns or suggest counter-strategies to stay competitive.
By automating competitor analysis tasks, you can gain valuable insights faster, which allows for quicker, more informed decision-making and strategic actions.
Simplifying Multi-Account And Cross-Platform Reporting
Managing campaigns across multiple platforms – whether it’s Google Ads, Microsoft Ads, Meta, or others – means compiling huge data sets from different sources.
Trying to put together a compelling, holistic story about your marketing campaigns can take up a lot of time as you navigate from platform to platform.
This is where the power of AI tools can come in to help aggregate reports and create cohesive summaries.
Streamlining Cross-Platform Reporting
Multi-channel reporting is often a daunting task, especially when managing accounts across Google, Microsoft, and social platforms.
By inputting performance data from these platforms into ChatGPT, marketers can receive a single, unified report that summarizes key performance indicators (KPIs) across channels.
For example, say you manage several campaigns across Google Ads, Microsoft Ads, and Meta Ads.
Instead of switching between dashboards and manually pulling data, you can input the performance metrics from each platform into your AI tool of choice.
The tool can summarize the top-performing platforms, highlight underperforming campaigns, and suggest where to reallocate budgets to maximize ROI.
AI’s ability to consolidate multi-channel data helps reduce reporting time, enabling marketers to spend more time optimizing campaigns and less time on administrative tasks.
Keyword Research And Expansion With AI
Keyword research is at the core of every PPC strategy, and expanding keyword lists can be labor-intensive.
AI tools can make the process more efficient by identifying relevant keywords, negative keywords, and keyword variations that are often missed in traditional tools.
While tools like the Google Keyword Planner are great at providing keyword recommendations, AI tools can take it a step further.