They can generate items like long-tail keyword variations and help identify opportunities for new targeting strategies.
Additionally, they can analyze an existing keyword list and suggest related keywords that reflect user intent or emerging trends.
For example, say you manage PPC campaigns for an ecommerce retailer. You input a list of current top-performing keywords with your latest KPI performance data into your AI tool of choice.
From there, the tool can generate suggestions for new long-tail keywords that may have lower volume, but higher intent to purchase.
Additionally, you can ask the tool to suggest negative keywords to eliminate irrelevant traffic, which improves both relevance and cost efficiency.
To really kick this into high gear, you can then ask the tool to format these new keywords and negative keywords into a format that allows you to upload them into Google Ads Editor, saving you hours of manual work adding each one individually.
Using AI tools beyond the ad platforms can help marketers discover new opportunities faster, ensuring more comprehensive targeting with minimal manual effort.
AI-Assisted Testing And Creative Optimization
There’s no debate that A/B testing is critical to campaign optimization, but interpreting results and making decisions about the next steps is where most people fall flat.
Using AI tools to streamline this process can aid you in analyzing test data and suggest optimizations based on performance.
Say you want to test two different versions of a headline in a PPC campaign. You can upload your test performance data into an AI tool for analysis.
Not only will it summarize which headline performed better, but it goes a step further to help answer why one headline outperformed the other.
By providing insights into which elements contributed to success, it can save you time in the long run and help keep those driving factors top of mind for the next test.
AI For PPC Budget Allocation And Forecasting
Effective budget management is essential for optimizing PPC performance.
The ad platforms are great at automating tasks like changing daily budgets based on scripts, but what about strategic budget allocation decisions?
Using AI tools to assist budget allocation across campaigns or platforms by forecasting potential outcomes based on past performance data can streamline the process of deciding where to invest – and when.
For example, a retail client has an upcoming holiday sale and they want to know if they can expect a higher return than last year’s sale.
Inputting last year’s campaign performance into AI tools like ChatGPT can help analyze performance, while also taking into consideration current market trends.
The output could be to suggest how much of the budget should be allocated to high-performing keywords or certain product categories.
It can also provide a forecast of expected returns based on historical data, current CPC trends, and consumer behavior trends to help you make informed budget decisions ahead of time.
AI-driven budget forecasting helps ensure that resources are allocated to the right areas, reducing wasted spend and improving overall campaign performance.
Automating Market Trend Exploration And Forecasting
Market trends can shift quickly, and staying ahead of these changes is key to successful PPC campaigns.
AI tools can analyze search trends, consumer behavior, and historical campaign data to predict future shifts in demand and help marketers prepare.
For instance, AI tools can identify trends in consumer searches in real time, helping you adjust your campaign strategies proactively.
For example, you manage Google Ads campaigns for a fitness brand, and you’re noticing a seasonal uptick in searches for [home workout equipment].
By using AI tools to analyze Google Trends data, you can forecast how that demand will continue to rise or fall in the coming months, and even if certain geographical areas are driving the high demand.
This allows you to adjust bids based on location, increase overall budgets if necessary to help capture demand, and create relevant ad copy that speaks directly to the emerging trend.
Conclusion
AI is revolutionizing PPC workflows, allowing marketers to work smarter, not harder.
Whether you’re leveraging Google Ads’ AI capabilities, like Gemini’s conversational ad creation or integrating third-party tools for deeper insights, AI is becoming indispensable in managing and optimizing PPC campaigns.
From automating bid management and audience targeting to optimizing ad creatives and providing actionable insights, AI offers opportunities to boost efficiency without sacrificing effectiveness.
As AI tools continue to evolve, those who embrace these technologies will find themselves better equipped to deliver superior results, whether managing in-house campaigns or serving clients.
By integrating both Google’s AI features and powerful third-party tools, you can unlock new levels of performance, save time on manual tasks, and focus on strategy and innovation.
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