How I'm Using Growth Hacking with AI and Scraping Tools: Scraping Competitor Data and Generating Insights

In the inaugural episode of the NextGen Marketer Podcast, I introduced a method to harness AI and automation tools for competitor data scraping, providing valuable insights to refine marketing strategies. With over 20 years of growth hacking experience, I've observed how the surge of AI, blockchain, and automation is reshaping the marketing landscape.

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What You’ll Learn:

Podcast Overview

Having collaborated with companies like Safetica and Kiwi.com, I aim to simplify next-generation tools for effective B2B marketing. The podcast features innovative growth hacks, tool reviews, and guest interviews with industry leaders leveraging these technologies.

Step-by-Step Guide: Building an Insight Scraper

1. Identify Competitors:

- For this growth hack, I used Microsoft Power Automate, but you can apply the method to any direct competitor.

2. Scrape Competitor Reviews:

- I employed tools like apify.com

3. Create a Free Account:

- Sign up for a free account at apify.com.

4. Select the G2 Explorer:

- Choose the G2 Explorer tool from the store.

5. Input Competitor Details:

- Enter the competitor product page (e.g., Microsoft Power Automate) and set scrape limits (e.g., 500 reviews).

6. Run and Export Data:

- Run the actor, export the data as a CSV file, and analyze it with ChatGPT.

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What's Next?

In the next episode below , I will explore the final steps of the process, highlighting the differences between insights from scraped data and publicly available information. This will illustrate how triangulating these sources can enhance your competitive advantage.

Leveraging AI to Transform Negative Reviews into B2B Sales Strategies

In the latest episode of the NextGen Marketer Podcast, I explored how AI tools like ChatGPT and Perplexity can revolutionize the way we analyze customer reviews from platforms like G2 and Capterra. Drawing on over 20 years of growth hacking experience, I emphasized the importance of diving deep into negative reviews to craft competitive messaging for B2B sales. Negative feedback often provides more actionable insights than positive reviews, which may sometimes be skewed by artificially generated content.

The Power of Negative Reviews

Authenticity Matters

Negative reviews are often more authentic because they come from real users motivated to share their genuine experiences. Unlike positive reviews that might be artificially generated or influenced by biased perspectives, negative feedback highlights actual pain points and challenges faced by customers.

Actionable Insights

Feedback gathered from these reviews is more product-centric and actionable. This specificity is invaluable when drafting effective marketing messages and campaigns. By addressing the real issues customers face, we can position our solutions more effectively in the market.

Utilizing AI Tools for Deeper Analysis

At 00:29 in the episode, I discussed how leveraging AI tools like ChatGPT and Perplexity enhances the analysis of customer reviews:

• Identifying Pain Points: These tools help marketers sift through large volumes of data to pinpoint specific customer frustrations and needs.

• Crafting Targeted Messaging: With clear insights, we can craft messaging that directly addresses the identified issues, making our outreach more relevant and compelling.

Scraping Reviews for Comprehensive Insights

• Multi-Platform Data Gathering: Scraping reviews from platforms like G2 and Capterra provides a more comprehensive view of customer sentiment.

• Triangulating Data: By combining insights from multiple sources, we improve the accuracy of our competitive analysis and gain a holistic understanding of the market landscape.

Why Negative Reviews Outshine Positive Ones

• Authentic Experiences: Negative reviews are less likely to be influenced by external factors and provide a candid look into customer experiences.

• Avoiding Skewed Data: Positive reviews can sometimes be skewed due to AI-generated content or incentivized feedback, making them less reliable.

Transforming Insights into Action

• Product-Centric Feedback: Scraped reviews offer specific insights about product performance, features, and user satisfaction.

• Effective Marketing Messages: By focusing on these detailed insights, we can create marketing strategies that resonate with potential customers and address their actual needs.

If you found this growth hack helpful, subscribe to the podcast and join me next week for more innovative strategies and insights from industry experts!

I’d love to hear your experiences! Have you used AI tools like ChatGPT or scraped competitor data? What insights did you discover? Share your thoughts in the comments below! 👇