
Blog Post
Search Engine Advertising (SEA)

Yasser
Teilab
published on:
Predictive Google Ads – Tipps und Tricks
Table of Contents
In recent years, advertising with Google Ads has become quite a challenge due to rising competition, tracking limitations, and constantly changing policies. As a result, marketing experts are looking for any edge they can get to stand out and improve campaign performance. This is where predictive Google Ads play an important role.
Google Ads and Predictive Analytics?
Predictive Google Ads are part of a broader topic: predictive marketing and predictive analytics. Today, companies collect information about their customers and the market from countless sources. Data comes, for example, from websites, newsletters, purchase histories, store visits, reports, and more. Predictive marketing focuses on continuously gathering and analyzing this data to develop data-driven marketing strategies that anticipate customer behavior and preferences.
How does it work? Through a continuous and detailed process that begins and ends with data. This involves several steps, which can be summarized as:
Data Collection:
What data do we need, and how do we collect it?
Data Analysis:
Cleaning the data to ensure its reliability and analyzing it to uncover customer characteristics and behavioral patterns.
Customer Segmentation:
Dividing customers into distinct segments based on shared characteristics, behaviors, and business value.
Predictive Modeling:
Building well-structured and conceptually sound forecasts that predict future shifts in customer behavior and interests.
Measurement and Optimization:
Reviewing and analyzing results after running campaigns, then repeating the process to refine each step based on new insights.
The goal of the entire process is to fine-tune your marketing strategy so you can connect with each customer group accurately and efficiently at every stage of the customer lifecycle in your business funnel.
A great example of predictive marketing is personalized campaigns, like birthday emails. But any campaign that anticipates specific future behaviors based on past data—such as seasonal campaigns—is also a form of predictive marketing.

Figure 1: Birthdays for personalized campaigns (www.campaignmonitor.com)
The predictive Google Ads mentioned above generally follow this same process and set of tactics to forecast the performance of future campaigns. We'd love to share a few straightforward tips that we use at internetwarriors to put this into practice.
New Businesses:
Data is the heart of predictive marketing. However, new businesses or products might not have past data to help them build forecasts. Even so, there are several tools that can help you make an educated guess about your campaign performance. In this article, we'll focus only on free, user-friendly tools that are readily available in your Google Ads account.
Google Trends:
This tool from Google is a fantastic way to get an initial, broad sense of the level of interest in a specific product, field, industry, company, and more. It provides general data on seasonality and behavioral shifts over a given period in the past.
Much like Google Trends, this tool shows how search volume for specific keywords develops and shifts over time. It can also provide estimates on the expected performance of campaigns targeting these keywords with specific goals, budgets, and settings.
Google Performance Planner:
This tool does require some historical data. Depending on your campaign type and objectives, it can start offering performance forecasts after just a few weeks of run time. The more data it has to work with, the better the predictions become.
These three tools are just a quick glimpse into the many resources available to help you anticipate trends when launching a new business or exploring new ideas. Keep in mind, though, that their accuracy should be taken with a grain of salt, as they tend to be generic rather than tailored specifically to your unique business and customer base.
Established Businesses:
The biggest advantage of an established business is having plenty of historical data and insights about customers and their behavior. This kind of data can help pinpoint exact peak and off-peak seasons, forecast the day-to-day performance of your Google Ads campaigns, estimate the number of conversions you can expect on specific days, and determine whether you should adjust and reallocate your budget.
Web Analytics:
These days, anyone working with Google Ads is expected to already have a robust web analytics setup in place. There are great free options like the standard version of Google Analytics, as well as paid platforms tailored to your specific business needs. Any good web analytics tool and setup should serve your business goals and provide enough insights to help you improve your primary targets and KPIs.
When analyzing web analytics data, it's important to look at the big picture—like annual seasonal trends—while also zooming in closely on individual products or sectors. For instance, different products might follow their own unique seasonal cycles that differ from your overall business seasonality.
Google Ads Scripts:
Google Ads Scripts open up fantastic opportunities for monitoring, automation, analysis, spotting market trends and issues, and much more. You'll need some coding experience to build them from scratch, but there are plenty of ready-made scripts and reports available to help you get the job done smoothly. Jack Felstead's Black Friday Predictor is one of my personal favorites.
Figure 2: Conversion rate trends from the Black Friday Predictor (Jack Felstead)
It uses historical data from your Google Ads campaigns over the past two years to forecast campaign performance in the upcoming days of the current year. It has been quite accurate so far, though nothing is ever 100% certain—market behavior and Google Ads can shift at any time due to algorithm updates, economic factors, competitive changes, and more.
AI Tools:
The AI revolution has the potential to become your biggest Google Ads asset. It can write ads, discover keywords, analyze performance, and, of course, help forecast the future. A tool like ChatGPT can deliver results similar to hands-on web analytics or Google Ads Scripts forecasts. But instead of taking days or weeks (or sometimes even months), it can shorten the process to just a few minutes when you provide it with a data source as simple as an Excel spreadsheet.
Conclusion: Predictive Google Ads for Your Strategy
In short, predictive Google Ads and the marketing strategy behind them are essential for success in today's digital advertising landscape. Both new and established businesses can benefit equally from these tools and techniques. The key is recognizing the true value of your data and putting it to work for more precise forecasts and better-targeted campaigns. Combining traditional tools like Google Trends and Google Keyword Planner with advanced technologies like AI and Google Ads Scripts creates a powerful toolkit to boost campaign performance and optimize your marketing budget. Throughout it all, staying agile and embracing new approaches is the best way to secure a real competitive advantage in the ever-evolving world of digital marketing.
We're here to help you develop the right strategy and make the most of the tools that fit your business best.
Get in touch with us to achieve your advertising goals effectively and strengthen your digital presence.

Yasser
Teilab
Yasser began his career in digital marketing in 2009. Since then, he has worked on various B2C and B2B projects across different industries and regions worldwide. He has extensive experience in planning digital marketing strategies and executing paid online advertising campaigns. Yasser has been part of our PPC team since June 2023.
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