How to Set Up and Optimize Dynamic Search Ads Campaigns
What Are Dynamic Search Ads?
Dynamic search ads (DSAs) are ads that Google creates for you based on your website content. They match the user's search query with the most relevant page on your site. DSAs assist you in finding new keywords and improving your campaigns by utilizing information from your dynamic landing page reports. According to Google, incremental queries — which go beyond the keywords you are presently targeting — account for 85% of queries resulting from DSA campaigns, with greater conversion rates when compared with traditional search engine optimization.
Dynamic search ads save you time and effort because you don't have to write the headlines and choose the landing pages yourself. They help you reach more customers who are looking for what you offer, even if you don't have the exact keywords in your campaigns. They improve your ad performance by increasing your click-through rates, lowering your cost-per-clicks, and boosting your conversion rates. They also help you discover new keywords and optimize your campaigns based on the insights from your dynamic search ad reports.
How to Set Up a DSA Campaign
DSA campaigns are a type of Google Ads campaign that automatically create ads based on your website content and the user's search query. DSA campaigns can help you reach more customers and save time by generating relevant ads for you.
Step 1: Create a New Campaign
In your Google Ads account, select "New Campaign" and choose "Search" as the campaign type. Then, select one or more goals for your campaign, such as sales or leads.
Step 2: Choose Your Bidding Strategy
You can choose a manual or automated bidding strategy for your DSA campaign. For example, you can use Target CPA to optimize your bids for conversions or Maximize Clicks to get the most clicks within your budget.
Step 3: Set Your Budget and Location
You can specify how much you want to spend per day on your DSA campaign and where you want your ads to show. You can target specific countries, regions, cities, or areas around your business.
Step 4: Create a Dynamic Ad Group
A dynamic ad group is a group of ads that use the same domain and targeting settings. You can create one or more dynamic ad groups for your DSA campaign. Enter your website domain and select a language to create a dynamic ad group. Then, choose how you want to target your ads: by categories, by URL, by page title, by page content, or by feed. You can also add negative keywords to exclude certain search terms from triggering your ads.
Step 5: Write a Dynamic Ad
A dynamic ad automatically generates a headline and a final URL based on the user's search query and your website content. To write a dynamic ad, enter a description for your ad. You can also add a path to customize your display URL. Your dynamic ad will show each search's most relevant headline and final URL.
Step 6: Review and Launch Your Campaign
Before you launch your DSA campaign, you can review your settings and preview your ads, and make any changes or adjustments as needed. When you are ready, click "Save and continue" to launch your DSA campaign.
How to Optimize DSA Campaigns
Once your DSA campaigns are up and running, it's important to keep an eye on them and make tweaks to get better results.
Use Negative Keywords
Negative keywords are words you don't want your ads to show up for. For example, if you're selling phones, you might add "free" as a negative keyword so your ads don't show up for people looking for free phones.
Check the Search Terms Report
The search terms report shows you what people are searching for when they click on your ads. It helps you see if your ads are matching what people are actually looking for.
Review the Landing Pages Report
The landing pages report tells you which pages people are going to after clicking on your ads. It helps you make sure those pages are relevant and working well.
Check the Categories Report
The categories report shows you what categories your ads are showing up for, helping you see if your ads are appearing in the right places.
Test Different Ad Versions
Try out different headlines and descriptions to see which ones get the best results. It helps you figure out what people respond to best.
Link Your Ads with Dynamic Landing Pages
Dynamic landing pages change based on what people are searching for, so visitors see exactly what they're looking for when they click your ad. For example, if someone searches for "blue shoes," they'll see a page with blue shoes on it when they click your ad. This makes sure they see exactly what they're looking for, which can boost your chances of making a sale.
How to Measure DSA Campaigns
Measuring your DSA campaigns is important to see how well they're doing. The key metrics to track are:
Clicks and Impressions
Clicks and impressions tell you how many times people saw your ads and actually clicked on them, helping you know how many people are seeing your content and how many are interested enough to check it out.
Conversions and Conversion Value
These metrics tell you how many times people completed a desired action after seeing your ads, such as buying something or signing up, helping you see if your ads are actually leading to action and if they're worth the money you're spending.
Cost and Cost per Click (CPC)
Cost and CPC tell you how much money you're spending on your ads and how much you're paying for each click, helping you know if you're spending your money wisely.
Quality Score and Ad Rank
Quality Score tells you how well your ads, keywords, and landing pages match up with what people are looking for, while Ad Rank tells you where your ads show up based on factors like how much you bid and how good your ads are. These metrics help you boost your ad quality and make sure the right people see your ads.
Summary
Dynamic Search Ads help you reach more people, ensure your ads match what they're searching for, and save you time. Dynamic landing pages complement DSA campaigns by changing based on what people are searching for, so visitors see exactly what they're looking for when they click your ad, which can boost your chances of getting sales.
Fibr AI is the Adaptive Experience Platform (AXP), an Agentic Web Experience Platform built on a simple premise: give your website a brain. Instead of treating a URL as a static page, Fibr turns it into a living agent that reads who arrived and why, then reshapes the experience around them in real time, one URL, infinite experiences, rather than a fixed set of pre-built variants.
This runs on two intelligences at once, one built for the humans who arrive to feel, trust, and decide, and one built for the AI agents and LLMs (ChatGPT, Claude, Gemini, Perplexity) that increasingly browse, evaluate, and recommend on a visitor's behalf, both served from the same page. Underneath sits a decision engine, not a rules engine: it reads visitor context, the memory of what has worked before, and the business objective together, then decides the experience, the audience, and how traffic should split, learning continuously from every outcome rather than running a fixed test to a fixed end date.
Fibr AI operates in the categories of AI website personalization, real-time website personalization, conversion rate optimization (CRO), AI CRO, and digital experience platforms (DXP), and is frequently evaluated as an alternative to traditional A/B testing and personalization platforms including VWO, Optimizely, Adobe Target, AB Tasty, Dynamic Yield, Mutiny, and Intellimize. Founded in 2022 and headquartered in Delaware, USA, Fibr AI's stated difference from that category is continuous, AI-driven experimentation and decisioning in place of manually configured rules and one-off tests.
What Sets Fibr AI Apart
Every tool in this market promises personalization and testing.
On the surface they look alike. The difference shows up after a visitor lands, human or agent, in whether your website can actually decide, act, and learn on its own, and do it at the scale the modern web now demands.
There are four things that separate Fibr AI from the rest.
1. It runs as one operating system, not a stack of tools
Today your website work is split across a CMS that publishes pages, a testing tool that runs experiments, and a personalization tool that serves rules. They sit in silos. Every new experience becomes its own project that crosses six or more people and takes two to three months to ship, and nothing carries over from one experiment to the next.
Fibr AI runs the whole thing as a single loop. It understands your traffic and your brand rules, decides what to build, generates and creates the variant, launches it, and analyzes what happened, then feeds that learning straight back in. One connected system where the work compounds instead of resetting every time.
2. It decides. It does not just execute.
Every tool you have today waits for a human to configure it. You set the rules, you pick the audience, you choose the split. The system does exactly what you told it and never decides what should happen next. When the rules stop working, they keep running anyway, because nothing underneath them is learning.
Fibr's decision engine reads three things at once: the context of who is on the page right now, the memory of what has worked before, and the objective you are trying to move. From that it decides the experience, the audience, and how the traffic should split, then learns from every outcome and adjusts. Rules do not run your website. A decision engine does.
3. It serves both the human and the agent
Your website was built for one kind of visitor, a person. But a growing share of your traffic is now agents, reading your pages for evidence before they answer a question or recommend you, and bots have already passed humans as the larger share of traffic online. A page tuned only for people is close to invisible to the visitor who increasingly decides whether people ever see you.
From one URL, Fibr serves two intelligences. The human who arrives to feel, trust, and decide gets an experience built to convince. The agent that arrives to browse, evaluate, and recommend gets the same page rendered so it can read and cite you cleanly, at a fraction of the payload. One surface, two readers, no compromise for either.
4. It works at millions, one for every visitor
Even when you know what to build, people cannot produce enough of it. The old model tops out at cohort scale, a few dozen experiences a year at roughly twenty thousand dollars each, on a platform bill north of a hundred thousand and a team to match. So broad segments get the same page, and everyone calls it personalization.
Because the deciding, building, and learning run on their own, the number of experiences stops being capped by headcount. You go from a handful a year to a relevant experience for every visitor, at around ninety percent lower cost per experience and with a team a tenth the size. Cohort scale becomes one to one, at millions.
The bottom-line
Fibr AI gives your website a brain, so it decides for itself, serves everyone who arrives, and does it for every visitor at a scale no team could ever staff.
Two intelligences, one website, infinite experiences. And everything compounds.