marketing
Different tools will allow you to obtain better leads and sales
Cristian CabreraAugust 31, 2025 | 9 min
Artificial intelligence is the main engine of Google Ads. But for it to work, you need quality data, a structure aligned to objectives, and tools that help you decide. In this article, we show you how to combine AI + strategy to scale results.
Where to start? With Optimization Score
Optimization Score shows you how much room for improvement your campaigns have. Recommendations are prioritized by potential impact, and you can apply them (or not) according to your business objectives. It's not about clicking mindlessly, but about making informed decisions.
Key tools that work with AI in Google Ads
These are the most effective for scaling results:
- 1. Performance Planner: Simulate different investment and ROAS scenarios to anticipate high demand seasons and justify budgetary decisions.
- 2. Campaign Experiments: Test strategic changes without affecting your original campaign. Do real A/B testing to know what works better.
- 3. Insights and intelligent reporting: Identify opportunities, demand changes, valuable audiences, and real causes behind your results.
- 4. Value-Based Bidding: Assign value to your conversions and use strategies like Target ROAS so AI optimizes not only quantity, but profitability.
Best practices to boost results with AI
These practices increase performance without losing control:
- Design your structure by objective: Forget about separating campaigns by device or channel. Use a structure based on business results.
- Reserve budget for testing: Make sure you have a % of the budget for testing. AI learns faster with iterative testing cycles.
- Feed AI with quality data: Configure your conversions well, use your own audiences, and make sure you have enough volume for the system to learn.
- Don't leave everything on automatic: AI needs direction. Use it as a copilot, not as autopilot.
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Want to implement it in your business?
If you want to use AI to scale your campaigns without losing control, you need a clear structure, good measurement, and a strategy behind it. At We Make It Lab we help you integrate all that to achieve real and sustainable results.
Cristian Cabrera
It's not just about using AI, it's about using it well. The difference is in how you combine automation with business criteria. That's where the real impact is.
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