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Episode 6: Scraping Linkedin Ads Library

People & Blogs

Introduction

Hello and welcome to the sixth episode of The NextG Marketer! I am your host, Sam, and if you're a follower of the show, you know that every week I present new growth hacks for both B2B and BTC marketing. This week, we will explore LinkedIn advertising—a platform that many users know can be challenging for creating resonant campaigns that yield positive ROI.

Creating effective LinkedIn campaigns often requires significant time and budget allocation for A/B testing to achieve decent click-through rates (CTR). However, one guiding principle I've maintained as a CMO and marketing leader is to "copy, paste, and innovate." Simply put, why spend time conducting A/B tests to learn something when you can leverage insights from competitors who have already gone through that process?

Enter the LinkedIn Ads Library. This tool is an excellent resource for viewing every ad that has run on the platform. However, it can be unwieldy due to the vast amounts of data generated for each search query. To make sense of it all, you'll need scraping tools in conjunction with language models (LLMs) to simplify the insights.

For instance, this week we'll be examining the term AI Agent, a trending tool that companies are increasingly leveraging to create different functionalities. In the LinkedIn Ads Library, a search for "AI Agent" reveals over 56,000 results, complicating the task of distilling actionable insights. To address this, we recommend using scrapers like APY combined with applications like ChatGPT to generate powerful analytics, such as word maps, which are invaluable for understanding keyword and messaging trends.

Step-by-Step Process

  1. Determine Geographies: Focus on the United States and the UK.
  2. Scrape Ads: Use an ad scraper for the search term "AI Agents" on the LinkedIn Ads Library.
  3. Process Data with ChatGPT: Upload the scraped data to ChatGPT, requesting key insights regarding advertising trends.
  4. Create Word Map: Ask ChatGPT to create a word map from the top advertisers’ ads to identify key terms.
  5. Analyze Insights: Key findings might include recommended integrations like Jira and Salesforce, or important keywords such as "co-pilot," "customer experience," and "incident."
  6. Map Geographic Messaging: Build time graphs to reveal the various geographic focuses of advertising efforts.

By combining insights from the LinkedIn Ads Library with APY's scraper, you can chart the advertising landscape, pinpoint where your competitors are running ads, and uncover successful strategies. For a more comprehensive understanding, consider triangulating this data with information from Google Ads or Meta Ads, which are also available in the APY store.

Ultimately, advertising is an iterative process; understanding competitor advertising through these tools can significantly shortcut your learning curve, saving you both time and money.

That’s all for this week! Stay tuned for another growth hack in our next episode.

Keywords

  • LinkedIn Ads Library
  • AI Agent
  • A/B Testing
  • ROI
  • Scraping Tools
  • APY
  • ChatGPT
  • Word Maps
  • Keywords
  • Geographic Messaging

FAQ

1. What is the LinkedIn Ads Library?

  • The LinkedIn Ads Library is a repository of all advertisements that have run on LinkedIn, providing insights into competitors' ad campaigns.

2. How can I use the LinkedIn Ads Library effectively?

  • By utilizing scraping tools, you can compile large sets of ad data, analyze it with LLMs like ChatGPT, and identify successful messaging and keywords to apply to your own campaigns.

3. What are word maps and how can they help?

  • Word maps visually display the frequency of keywords found in a set of ads, helping marketers identify which terms resonate with audiences.

4. Why is competitor analysis important in advertising?

  • By observing competitors' successful strategies and key messaging, you can save time and resources, ultimately leading to more effective campaigns.

5. What additional tools can be used alongside LinkedIn Ads Library?

  • Consider also using Google Ads and Meta Ads scrapers from APY for a more comprehensive view of the advertising landscape.