However, AI doesn’t just focus on traditional exact keyword matching, but peru mobile database also excels at recognizing semantically related and similar terms. It can understand a much broader meaning of search queries, allowing you to reach a larger audience of users in a relevant way.
For example, contemporary algorithms used by artificial intelligence developed by Google take into account the complex intent of a search query in various contexts, offering significantly more precise matches than before.
When adding new keywords to a PPC campaign , it is no longer jus paul dwyer director of marketing and business development t about increasing their number, but also about accuracy and capturing the intent.
AI tools for optimizing PPC campaigns
- Google Ads Bidding: Google’s built-in artificial intelligence monitors your campaign and continually suggests keywords to add based on performance and trends.
- Optmyzr Expansion: Optmyzr’s combination of artificial intelligence and machine learning suggests bid adjustments and keyword expansions in real time.
- Microsoft Ads AI : Microsoft’s platform generates AI-based keywo taiwan data rd suggestions, which helps with adding and removing keywords, keeping your campaign relevant.
Negative keywords with a wave of a wand
For your PPC campaign to be successful, it is necessary not only to include the right keywords, but also to exclude those that do more harm than good. By entrusting this task to artificial intelligence, you take your exclusion strategy to a professional level.
What are you doing wrong, and how can AI help you?
A common mistake when creating PPC campaigns is to initially set up negative keywords, which are then “forgotten” and not updated regularly. Over time, this leads to ads being displayed on irrelevant searches, as user behavior is constantly changing.
For example, if you sell luxury outdoor gear and don’t edit your negative keyword list, you could end up showing your ads to people searching for cheap camping gear, diluting your brand and wasting your advertising spend.
Another problem is using too many negative keywords to try to prevent irrelevant searches. Their unnecessarily broad selection can then block users who would otherwise come to you.
For example, if you add “free” as a negative word to your list, you will lose customers looking for free shipping or free returns. These are the ones who are usually at the beginning of the purchase process, but they will not see your ad.
Artificial intelligence intervenes and saves
AI tools evaluate search queries in real time, identifying irrelevant traffic as well as subtle differences to prevent unintentionally high exclusion rates, allowing you to add negative keywords without losing potential clients or wasting advertising money.
AI can also identify what types of search queries result in low user engagement or immediate abandonment, allowing you to refine your negative keyword list based on performance data.
Irrelevant traffic detection
One of AI’s many superpowers is to spot unsuspected trends and patterns that most regular campaign managers miss. By analyzing search queries that are showing your ad but not converting, it suggests negative keyword adjustments so you don’t waste your money.
For example, you have a campaign running for high-end sports watches, but you are showing up to users looking for cheap watches, watch gifts, etc. AI tools will detect them in an instant and recommend adding them to negative keywords.
What’s more, by understanding the context ofThe broader meaning of words is a breeze for AI negative phrases, AI can determine for which campaign the same word or phrase is unnecessary and for which it is useful. This again leads to savings on advertising for unwanted users and