One of the most painful ways to waste a digital marketing budget is to pay for clicks you would have gotten for free. This happens constantly in large accounts. Your SEO team does an incredible job ranking a core service page to the #1 organic spot for a high-intent keyword. Meanwhile, your Google Ads team is aggressively bidding $15 per click on that exact same phrase.
While dominating the SERP with both a paid ad and an organic result can sometimes increase overall click-through rates, it is often wildly inefficient for exact-match brand or highly specific service terms. If a user is searching for your exact software solution and you own the top organic spot, paying for that ad click is just donating your margin to Google. Doing this cross-referencing manually across thousands of keywords is impossible, which is why you need automation.
You can solve this with a straightforward Python script that bridges your organic and paid data.
- The Pull: The script uses the Google Search Console API to pull queries where your average position is strictly between 1.0 and 1.5.
- The Match: It then cross-references this list against your active Google Ads Search Terms report via the Google Ads API.
- The Action: If a match is found, the script automatically applies a specific label to the ad keyword, drops the bid by 80%, or pauses it entirely, while alerting your Slack channel.
By automating this check daily, you dynamically shift your ad spend away from terms where you already have organic supremacy, redirecting those funds to competitive keywords where you actually need the visibility.
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