Maximizing ROI with AI-driven paid advertising
AI-powered audience targeting, bid strategies, campaign types, and more—it’s safe to say AI is rapidly changing the advertising landscape.
Thanks to machine learning, it’s now easier than ever to maximize your advertising ROI at scale. For example, you might use AI to:
- Automatically optimize bids, ad serving, and audience targeting in real time
- Deepen your understanding of your core audience segments to create more resonant ad messaging
- Test more ad variations at scale to personalize the ad experience in real time and automatically serve the best-performing variants more frequently
- Scale your campaigns across more channels and reach more high-value audience segments
- Reduce wasted ad spend with AI-powered forecasting and campaign planning
- Free up more of your time for strategic and creative decisions
To help you stay competitive, WebFX covered the fast-evolving shifts you need to keep up with.
Top 5 ways AI can maximize advertising ROI
If you’re using Google Ads, Microsoft Ads, or just about any other popular advertising platform, chances are you’re already leveraging many AI features. These platforms build AI tools right into their interface to improve your campaign performance and save you time.
A few of the most common ways advertising specialists are maximizing ROI with AI-driven paid advertising include:
1. Smart bidding
Smart bidding strategies are quickly becoming the name of the game in Google Ads and Microsoft Ads. These strategies use machine learning to automatically adjust your bids in real time according to your campaign goal.
Smart bidding strategies include:
- Maximize conversions, which aims to get the most conversions possible within your budget
- Target CPA, which aims to get the most conversions possible at the target CPA you set
- Maximize conversion value, which aims to get the most valuable conversions possible within your budget
- Target ROAS, which aims to meet a target return on ad spend (ROAS) you set
These bidding strategies use the data in your account, including conversions and audience signals—like location, device, and time of day—to automate your bids and achieve stronger performance, with less time investment on your part.
2. AI-powered campaign types
Alongside smart bidding, you’ve also likely seen AI-powered campaign types popping up in Google Ads and Microsoft Ads over the last few years.
These campaign types include options like Performance Max and Demand-Gen, which leverage machine learning to scale your ads beyond traditional search channels in a cost-effective way.
In competitive industries, where bottom-of-funnel searches can carry high costs per click (CPCs), these AI-driven campaigns help you maximize your advertising budget and efficiently reach more users by expanding your paid advertising across more of the funnel.
Plus, according to Google, Performance Max campaigns can “supercharge” your standard search campaigns using their AI-driven learnings.
For lead-generation accounts, using a conversion action further down the funnel can help accumulate sufficient data while filtering for quality. For example, using a qualified lead import rather than a standard lead form submission can reduce the volume of spam leads.
3. Increased personalization and audience resonance
One of the best ways to convert more users from your paid advertising campaigns—and as a result maximize your ROI—is to create messaging that resonates with them. AI helps you do this by:
- Helping you serve more personalized ads at scale
- Automatically serving the most relevant ad to each user in real time
- Deepening your understanding of your target audience to improve your messaging
To take advantage of these benefits, make sure you’re using smart bidding, alongside dynamic ad types, such as responsive search ads. These dynamic ads let you include multiple headlines, descriptions, and/or images that the machine can use for real-time optimization.
Additionally, use AI chatbots to conduct research into your various audience segments and better understand their pain points. Business-to-business (B2B) companies, for example, can quickly brush up on industry jargon to ensure they’re using language that resonates with their target users in their ads.
4. Automated ad optimization
Dynamic ads also streamline ad optimization. When you include several options for ad headlines, descriptions, images, and more, the AI can learn which ones perform best and serve them more frequently.
With this real-time optimization, you no longer have to spend as much time manually testing every possible ad copy combination—the ad platforms can do it for you!
5. Scalable audience targeting
All the major advertising platforms also include lookalike and predictive audience capabilities, powered by AI. With these AI-enhanced targeting tools, you can reach more users similar to your current and most valuable customers at scale.
To make the most of these targeting capabilities, ensure you’re syncing first-party data into the ad platforms (in a privacy-first manner!) and tracking conversions as robustly as possible.
Ad platforms will use your first-party data and conversion information to build and optimize these audiences.
AI-driven tools for paid advertising
So now you know how AI is transforming paid advertising and creating more opportunities to maximize your ROI. But what tools can you use to put it into action?
- Chatbots like ChatGPT, Gemini, Claude, etc.
- TeamAI, which combines several chatbots in one platform and lets you share prompts across your team
- Built-in platform features in Google Ads, Microsoft Ads, etc.
Tips for maximizing ROI with AI-driven paid advertising
Thanks to AI, the possibilities for maximizing your advertising ROI are seemingly endless. However, to set yourself up for success from the start, follow these best practices when it comes to using AI for paid advertising:
Use first-party data
AI is only as good as the data it has to learn from. To optimize your ad campaigns for the largest possible ROI, sync your first-party data, including customer and lead lists, into each ad platform.
Prioritize your conversion tracking
Another key data element AI-driven advertising platforms require is conversion info. Ensure your conversion tracking is set up on each platform, sync offline conversions whenever possible, and add conversion values where relevant.
Implement guardrails
AI-driven campaigns like Performance Max can run wild if you don’t put the right guardrails in place. Add as many signals as possible to these campaigns to help guide them in the right direction. Possible signals you might include are:
- Audience data
- Negative keywords
- Content suitability settings
- Brand inclusion and exclusion lists
Test and measure
Anytime you’re implementing a new AI-driven tactic, measure it against your key performance indicators (KPIs) to ensure it’s driving the results you want. While you’ll want to give the AI enough time to learn from the data and optimize accordingly before pulling the plug, don’t let the AI run free without a human guiding its path.
When using broad match keywords alongside smart bidding strategies, keywords may match irrelevant search terms, necessitating regular auditing and the addition of negative keywords. Performance for broad match keywords can vary, requiring close monitoring of all AI-driven tactics.
Unify your data
While AI can help you make sense of your data, it’ll be most effective if you have all your data in one place. Try to implement a “single source of truth” for your paid advertising channels—and, if possible, all your marketing channels outside of paid advertising, too.
Experiment with additional channels
One of the biggest benefits of AI-driven paid advertising is the time savings it brings you. Use this newly freed-up time to test out new ad channels and continue scaling.
What to look out for when using AI to maximize PPC ROI
While AI offers numerous benefits, there are several considerations to keep in mind during implementation. To ensure AI is helping your campaigns, rather than hurting them, keep an eye on these areas of interest:
- Ethical data use: Ensure you’re always using the appropriate privacy-first methods when using and uploading first-party data.
- Content quality: Always double-check anything produced by AI for accuracy, brand suitability, and relevancy.
- Copyright infringement: Be careful not to infringe on artists’ or other creatives’ copyright when using AI tools.
- Creativity: Don’t overlook the need for human-powered creativity. You and your team have ideas and artistry that AI can’t replicate. Use this creativity to your advantage and stand out in a marketplace that’s growing increasingly saturated with AI-created content.
- Human-powered strategy: AI can help you scale and optimize campaigns, but ultimately, it can’t run them for you. AI is here to assist you. With the right approach, AI-driven paid advertising will free up more of your time to make more strategic decisions and enhance creative output.
This story was produced by WebFX and reviewed and distributed by Stacker.
