Optimize ad campaigns in real time with custom algorithms. Learn how customized algorithms help advertisers improve targeting, personalization, and ROI
Perion Marketing
30th Jul 2026
Every impression counts in digital advertising, and reaching each customer with the maximum possible impact is critical to a campaign’s success. Custom algorithms enable automated ad creation, adapting content to individual preferences and behaviors. Campaigns can thus be more relevant and engaging.
Real-time optimization uses these algorithms to adjust bids, targeting, and creative delivery on the fly, ensuring that ads reach the right audience at the right moment. They are tailored to each campaign and business need, analyzing user interactions and performance data. Ultimately, this results in less wasted spend, increased conversions, and increased return on ad spend (ROAS). At Perion, this is powered by Outmax, our AI execution agent, alongside SORT®, our audience segmentation targeting solution.
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When properly designed, custom algorithms (for bidding, targeting, creative selection, and personalization) usually increase ROI by reducing wasted impressions, improving conversion rates, and automating decisions at scale. Here are some applications of custom algos that improve ROI:
Precision targeting is one of the main ways custom algorithms can impact advertising ROI. When applied to targeting, a custom algorithm analyzes first-party data, browsing behavior, purchase history, and contextual signals to predict which users are most likely to take action. This enables advertisers to serve ads only to high-value segments.
For example, an algorithm might identify a subset of users who consistently engage with certain product categories and prioritize bids for that group. This drives down customer acquisition costs while raising return on ad spend (ROAS).
Statistical and machine learning models, such as predictive analytics, rely on real-time data to forecast future outcomes. For instance, which types of users are more likely to convert, how much they will spend, and when to serve them ads. Custom algorithms use forecasting to optimize audience segmentation, bidding, and spend allocation.
Predictive algorithms help anticipate which channels, creatives, or campaigns will perform best. That allows advertisers to shift the budget proactively rather than fix a poor performance after it has caused losses. Because these algorithms help forecast ROI, you can decide whether a campaign is worth the investment.
These algorithms determine the right bid for each ad impression in real time. Instead of marketers manually setting bids for campaigns or keywords, these algorithms evaluate multiple criteria, such as user intent, device type, time of day, location, past conversion patterns, and predicted value, to place a bid that is more likely to win.
Online ad auctions happen in milliseconds, and auto-bidding systems adjust bids in real time. By reacting instantly to contextual signals, advertisers can secure valuable impressions at competitive costs. Reducing wasted budget and improving bidding efficiency can effectively increase overall campaign ROI. Outmax handles this pacing and spend allocation automatically, across channels, in real time.
To measure the impact of AI-driven ad optimization, you should look beyond impressions and clicks. Here are some of the metrics you should be tracking:
Conversion rate shows how effectively ads convert interest into action, while cost per acquisition (CPA) measures the cost to acquire each new customer. Another metric worth tracking is CTR, which can help understand engagement levels. Still, no ROI analysis is complete without measuring return on ad spend (ROAS), which ties ad performance directly to revenue.
Optimize media spend with Outmax
At Perion, we introduced custom algorithms to achieve success in several campaigns. Here are some examples:
Image source: Perion.com
Cost per acquisition (CPA) fell 89%, from $4.61 to $0.53, in 45 days.
What Perion did: During Cybersecurity Awareness Month, Webroot needed to move beyond upper-funnel brand metrics and prove full-funnel impact, driving qualified site visits efficiently and with full transparency into what was working. Perion ran a cross-channel activation powered by Perion One and Outmax, Perion’s AI execution agent, combining Interactive Pre-Roll, Bottom Adhesion, and CTV formats. Outmax continuously shifted spend toward the audience, format, and channel combinations driving the most site visits. CPA fell 89%, from $4.61 to $0.53, in 45 days. CTV Site Visit Rate reached 1.8%, four times the 0.4-0.5% industry benchmark, and Interactive Pre-Roll delivered a 79% video completion rate against a 70% benchmark.
A personalized, conversational approach kept users engaged longer and made the ad experience more relevant.
What Perion did: Perion partnered with Visit Savannah to test a next-generation ad format powered by AI. Instead of serving static display ads, the campaign featured an interactive chatbot embedded within the ad unit, allowing users to explore travel recommendations and ask questions in real time. This personalized, conversational approach kept users engaged longer and made the ad experience more relevant. The results were significant. The engagement rates increased by 14%compared to standard formats.
What Perion did: Deployed SORT®, a cookieless, privacy-safe targeting algorithm that uses contextual and behavioral signals. Instead of relying on third-party data, SORT® sorts users into predefined SmartGroups to predict their mindset and match ads with relevant audiences while remaining compliant with data regulations.
This technology protects user privacy and also delivers a strong performance for advertisers. SORT® was used in an advertising campaign for Mercedes-Benz USA to promote its Certified Pre-Owned (CPO) vehicles. The results include a 58% lift in page grabber CTR vs. contextual and a 53% lift in page grabber CTR vs. 3rd-party.
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Maximizing ROI with custom algorithms begins with clear campaign objectives. Define the outcomes that matter most in your campaign, whether it’s conversions, revenue, or customer lifetime value. Next, feed algorithms high-quality, first-party data to ensure predictions and optimizations are accurate.
Once the campaign is underway, regularly test and measure results through A/B testing to confirm that the algorithm-driven changes improve performance, rather than chasing short-term fluctuations. It is important to diversify creative assets, visuals, and calls to action for testing and scaling. Finally, continuously monitor and refine campaigns, adjusting targets, bids, and creative based on performance insights to sustain efficiency and ROI over time.
Among Perion’s range of solutions, the custom AI algorithm allows advertisers to optimize their media spend across walled gardens. This algorithm adapts in real time to your campaign goals, optimizing targeting, bidding, and creative delivery across search, display, social, and digital out-of-home. Perion’s privacy-safe solutions, including SORT®, allow precise targeting.
Improve your ROI today by integrating Outmax, and SORT®.
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How do you optimize your ads for maximum ROI?
You optimize ads by setting clear goals, using high-quality data, testing creative variations, and using custom algorithms like Outmax to adjust targeting, bids, and placements in real time.
What risks could reduce ROI when relying on algorithm-driven ad optimization?
Risks include poor-quality data, overreliance on automation without human oversight, rising competition in auctions, and potential changes to privacy regulations that limit available signals.
How do custom algorithms improve ad performance?
They analyze real-time user behavior and campaign data to deliver more precise targeting, dynamic creative adjustments, and optimized bidding for better engagement and conversions.
What data is used for real-time ad optimization?
First-party data, contextual signals, engagement metrics, location data, and predictive behavior patterns are commonly used to guide real-time adjustments.
Can small businesses benefit from real-time optimization with custom algorithms?
Yes, companies with smaller budgets can use custom algorithms to reduce wasted spend, focus on high-value audiences, and improve return on ad spend efficiency.
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