Ask Is it worth adding all suggested keywords in Google Ads or should digital marketers be selective?

[Newman]

Google will always suggest more keywords, but that does not mean you should add all of them. Some suggestions are loosely related to your business and will only eat into your budget without bringing real buyers. It is better to look at each suggestion and ask if someone searching that word actually wants what you are selling. If the answer is no, skip it. Relevance matters more than volume. Adding too many weak keywords can lower your ad quality and raise your costs. How do you filter through keyword suggestions in your own campaigns?

 

[Luna Logics]

It's usually better to be selective instead of adding every suggested keyword in Google Ads. The key is to focus on intent whether someone searching that term is actually likely to become a customer. I'd typically group keywords, check search intent, and remove anything that feels too broad or unrelated. I also rely on performance data over time to keep only the keywords that bring conversions, not just clicks, so the budget stays focused and efficient.

 

[Anthony Joshua]

I think digital marketers should be selective instead of adding every suggested keyword automatically. Some suggested keywords may bring traffic, but not the right audience. That can waste budget quickly, especially for small businesses trying to control ad spending carefully from the beginning.

 

[Paras.sun]

It's not worth blindly adding every suggested keyword in Google Ads. Digital marketers should be selective because keyword suggestions often include low-intent, irrelevant, or overly broad terms that can waste budget and dilute performance. A focused keyword list built around relevance, search intent, and conversion potential usually delivers better Quality Score, lower cost-per-click, and higher ROI than a large unfiltered set. The best approach is to add only those keywords that clearly match user intent and business goals, then continuously refine using search term reports and performance data.