Using AI To Predict PPC Results: A Guide for Accurate Forecasting

Predicting the results of paid search campaigns is crucial for any digital marketing professional, agency or consultant. In this blog post, we will show you how to build a forecast for your paid search campaigns using AI technology, specifically OpenAI's language model, ChatGPT, in less than five minutes.

We will walk you through a step-by-step process of how to use ChatGPT to help you build accurate forecasts and anchor expected results against costs. This will help you to sell paid search services more effectively and avoid issues with pricing and pushback.

Table of Contents

1. Introduction

   1. Explanation of the purpose of the article
   2. Overview of using AI technology to predict PPC results
   3. Benefits of using ChatGPT for forecasting

2. Step 1: Understanding the Main Keyword

   1. Explanation of the importance of understanding the main keyword
   2. Example of identifying the main keyword

3. Step 2: Spying on Competitors

   1. Explanation of spying on competitors
   2. Using Ahrefs to spy on competitors
   3. Importance of understanding profitable keywords

4. Step 3: Using ChatGPT to Expand Keyword List

   1. Explanation of using ChatGPT for keyword research
   2. Flushing out synonym keywords
   3. Building a list of 30-40 keywords

5. Step 4: Using Google Keyword Planner

   1. Explanation of using Google Keyword Planner
   2. Importance of using Keyword Planner to estimate volume and cost per click

6. Step 5: Building the Forecast

   1. Explanation of building a forecast
   2. Anchoring expected results against costs
   3. Giving the prospect a clear picture of expected traffic and sales

7. Conclusion

   1. Summary of the benefits of using AI technology for forecasting

   2. Overview of the step-by-step process outlined in the article

   3. Final thoughts on selling paid search services effectively

Step 1: Understanding the Main Keyword

The first step in building a forecast for a paid search campaign is to understand the main keyword or the general keywords that the prospect wants to target. For example, if the prospect is a lawyer in London, they will want to target keywords related to "London personal injury lawyer."

Step 2: Spying on Competitors

Once you have the main keyword, go to Google and search for that keyword. You will notice that it triggers a bunch of ads. Take the top ad, copy the root domain and go to a tool like Ahrefs. This tool will allow you to spy on and steal the keywords that your competitors are bidding on.

Export the keywords and repeat this process for different keywords, depending on how many different keywords the prospect is targeting. This will give you a huge advantage in keyword research as you will be able to understand the keywords that are profitable for the prospect.

Step 3: Using ChatGPT to Expand Keyword List

Now, take the keywords that you have exported and paste them into ChatGPT. ChatGPT will flush out more similar, synonym keywords that you can use for further research. You can repeat this process a few times to get a list of 30-40 keywords.

Step 4: Using Google Keyword Planner

Take the keywords that you have gathered from ChatGPT and paste them into Google Keyword Planner. Google Keyword Planner will give you the volume and cost per click for each keyword.

Step 5: Building the Forecast:

Finally, you can use the information from Google Keyword Planner to build an accurate forecast based on the expected volume and cost per click. You can then anchor the expected result against the cost and give the prospect a clear picture of how much traffic and sales they can expect from investing in paid search.

Conclusion

In conclusion, using AI technology like ChatGPT can significantly speed up the process of predicting PPC results. By following the step-by-step process outlined in this blog post, you can build an accurate forecast for your paid search campaigns in less than five minutes. This will help you to sell paid search services more effectively and avoid issues with pricing and pushback.

People Also Ask

1. What is the purpose of this article? The purpose of this article is to show how to use AI technology, specifically OpenAI's language model ChatGPT, to predict the results of paid search campaigns and build accurate forecasts.
2. What are the benefits of using ChatGPT for forecasting? Using ChatGPT for forecasting can significantly speed up the process and provide more accurate results. It helps in expanding the keyword list and flushing out synonym keywords for further research.
3. How can I understand the main keyword for my paid search campaign? The main keyword is the general keyword or keywords that the prospect wants to target. It is important to understand the main keyword as it is the first step in building a forecast for a paid search campaign.
4. What is the importance of spying on competitors? Spying on competitors allows you to steal their profitable keywords and gain a competitive advantage in keyword research. It helps you understand what keywords are working for your competitors and can be used for further research.
5. How does ChatGPT help in expanding the keyword list? ChatGPT can flush out more similar, synonym keywords from the exported keywords. You can repeat this process a few times to get a list of 30-40 keywords.
6. What is the role of Google Keyword Planner in this process? Google Keyword Planner provides the volume and cost per click for each keyword. This information is used to build an accurate forecast based on the expected volume and cost per click.
7. Can I use ChatGPT for forecasting other than paid search campaigns? Yes, ChatGPT can be used for forecasting in other areas as well. It is a powerful AI technology that can be used for a variety of forecasting purposes.
8. How long does it take to build an accurate forecast using ChatGPT? Using ChatGPT, you can build an accurate forecast for your paid search campaigns in less than five minutes.
9. How does using AI technology for forecasting help in selling paid search services effectively? Using AI technology for forecasting provides more accurate results, which helps in anchoring expected results against costs and gives the prospect a clear picture of how much traffic and sales they can expect. This helps to sell paid search services more effectively and avoid issues with pricing and pushback.
10. Can this step-by-step process be used for other forecasting purposes as well? Yes, this step-by-step process can be adapted for other forecasting purposes, depending on the specific requirements and goals.