12 Practical Ways to Use AI to Optimize Paid Ad Campaigns
While paid advertising can yield immediate results, it can be tedious to work with the campaigns manually. You're looking at clicks, budget tweaks, creatives testing, and audience review and what needs to be changed next. Sound familiar?=
AI can help make this process much easier. It doesn't replace marketers but can take over repetitive duties, identify trends in campaign performance data and assist teams to make more timely decisions. But how exactly can AI help you boost paid ads? Here are 12 doable suggestions.
AI can review trends in customer behaviour, customer interests, demographic data, and historical data from past campaigns to help determine beneficial audience segments. You don't have to speculate who might be interested in your product, you can use the data you have to know who is actually responding to your ads.
It's a time-consuming process to make new ads for each campaign. You can create ads with AI tools, a variety of images, layouts, headlines and creative concepts in an instant.
Need five variations for the same product? AI can give you a starting point in minutes, allowing your team to test more ideas without designing everything from scratch.
A good visual can catch the eye, but what will get the click? Many times, it's the message.
AI can generate various headline, description, call-to-action and promotional copy variations. Subsequently, marketers can select the variations they wish to use, which are tailored to the brand and campaign goal.
Every customer is different, and therefore, responds differently. Why do you want to display the same ad to all of your visitors?
AI can assist businesses to generate variations for a variety of audience segments, depending on their interests, behaviour, geolocation or position in the buying cycle. This way, advertising is more relevant without the need for a separate advertising campaign for each customer.
The easier it is to create multiple different versions of an ad, the easier A/B testing is.
Try out various images, headlines, offers, calls to action and landing pages and then compare results. AI can assist marketers in arriving at these variations, while they determine which to test.
To where should you invest? One of the largest questions that face paid advertising.
AI can evaluate campaign performance and pinpoint which audiences, creatives, or placements are yielding higher results. This data can guide marketers in making better decisions when allocating their budget rather than enter solely on a guesswork basis.
There are times when an ad doesn't work. But what is the part that is the problem?
AI can also identify trends and mark campaigns that are failing to convert and those that are costly with regards to ad spend. The sooner the problems are identified the sooner marketers can make changes to stop more money from being wasted.
AI can look back at past performance and information from the campaigns that are currently ongoing and detect patterns. This can aid marketers grasp which creatives or audiences could keep performing nicely and which may be lagging.
Of course, not everything that is predicted is guaranteed, but it can be helpful information for planning future campaigns.
Getting someone to click is just 50% of the task. But what are the consequences after that?
An AI landing page builder can help create and optimize landing pages that align with the ad message and audience intent. AI can be used to review content on your landing pages, find unclear messaging, suggest better headlines, and find potential issues that could prevent people from converting.
A combination of the advertisement and landing page will increase the chances that customers will grasp what they are being offered.
Preparing marketing reports can be a time consuming task, particularly if you're dealing with multiple platforms.
AI can streamline campaign data, identify significant changes, and structure the performance data into more user-friendly reports. Rather than spending your afternoon gathering numbers, you can spend more of your time on deciding on what to do with them.
After a paid campaign is launched, it will continue to evolve. The price may vary, people don't react the same way, and some artists might not be as effective after a while.
AI-driven monitoring can aid marketers in staying on top of vital changes in performance and understand when a campaign should be addressed. That means that there will be less of a shock if you ever do go and look at the dashboard.
Great you found an ad that's doing well!You found an ad that's doing well? Don't just leave it running unchanged.
AI can assist in finding out effective patterns and creating more patterns. That provides marketers with additional opportunities to grow on a successful idea, and keep testing out new ones.
Final Thoughts
AI revolutionizes paid advertising by streamlining the campaign management process and making it data-driven and faster. It can save tons of repetitive tasks, from creating creatives and testing copy, to tracking performance and optimizing budgets.
The real trick is to leverage AI where it's going to save them time, but not where it's taking people out of the picture for strategy and creative.
Begin with one or two tasks, see the difference and then build upon it. It's not necessary that all the automation has to happen today. In some cases, the only steps you need to take to get your paid advertising process to run more smoothly are a few well-thought-of adjustments.