Common challenges for SMEs on Google Ads in 2025
With the widespread integration of AI, Google has transformed its flagship products. From smart bidding strategies to campaigns Performance Max and Demand Gen, automation is now at the heart of the reactor. While the promise is to optimize performance, the reality on the ground is often more nuanced for advertisers.
The most common issues we see in SMEs include:
- Loss of visibility and control: Automation makes it more difficult to know exactly where your budget is being spent and on which keywords or audiences your ads are being shown.
- Increased costs: Google’s AI expands targeting to queries and audiences, increasing clicks but not necessarily potential customers.
- A decrease in lead quality: Receiving more forms or calls does not always mean getting more customers. Targeting too broadly can attract poorly qualified prospects, or even spam, which will never convert into actual sales.
- The complexity of tracking: Without accurate conversion tracking, it is impossible to accurately measure return on investment (ROI) and make informed decisions.
Given this situation, one question stands out: how can we regain control and turn these challenges into real drivers of growth?
Ask yourself the right questions to turn challenges into opportunities
Rather than simply enduring these changes, it is essential to adopt a strategic approach. AI is not your enemy; it is an extremely powerful tool that needs to be guided. To guide it effectively, start by asking yourself about the foundations of your strategy:
- What is the real goal of my campaigns? Beyond clicks and impressions, are you looking to generate qualified B2B or B2C quote requests, calls from prospects ready to buy, or in-store traffic?
- Is my conversion tracking aligned with my business goals? Do you simply measure the completion of a form, or do you evaluate the lead based on the intent of the request (e.g., job application vs commercial intent)?
- How can I enrich the data I provide to Google? Google’s AI learns from the information you give it. Poor-quality data will inevitably lead to poor results.
This is where the key to success in 2025 lies. If you can feed the algorithm with high-quality data, you will unlock its full potential and see a significant improvement in your results.
Train Google AI with high-quality data: the starting point for performance
It must be acknowledged that there will be no turning back. The solution is not to fight AI, but to train it to work for you. To do this, you need to focus on measuring conversions that have real commercial value for your business.
Depending on your industry, these figures may vary:
- E-commerce: The sales transaction is the ultimate indicator, but it is possible to refine this by measuring the margin or lifetime value of the customer.
- B2C and B2B lead generation: Don’t stop at the request for proposals. Try to gauge which proposals are truly qualified and what their potential value is.
- Retail sales: Tracking store visits or calls from local ads are valuable indicators.
Once this conversion data is correctly configured, the next step is to assign a value to it. By assigning a monetary value to each type of conversion, you teach Google’s AI to prioritize the most profitable leads for your business. This is how you move from simple campaign management to true performance management.
We invite you to attend the conference on […] in […] to learn in depth which data to measure specifically for your SME and, above all, how to leverage it to take your Google Ads marketing to the next level and finally achieve real results.
Advice from img media, a Google Ads performance agency. This article was written by Nathanaël Morin, Partner and Strategist specializing in lead generation and digital marketing. Img media helps SMEs achieve more measurable results from their investment in Google Ads.
