Taboola Unveils Realize+: An AI Platform for Open Web Ads
Serge Bulaev
Taboola has introduced Realize+, an AI platform that may help automate decisions for online ads, such as changing budgets and updating ad content. The company says early results from testing appear positive, but full performance numbers will be shared after Q1 2026 earnings. Realize+ uses first-party data and includes features like a Decision Engine for fast budget changes and an Element Generator for refreshing ads. Some case studies suggest Realize+ might reduce costs for advertisers, but these results are not yet audited. Taboola plans to expand the platform in 2026 and believes it could help marketers as privacy rules change and cookies are phased out.

Taboola has launched Realize+, an AI platform for open web ads designed to automate critical campaign decisions, from budget allocation to creative optimization. Sources confirm beta period occurred but do not provide the quoted characterization of results (Taboola press release).
Realize+ is designed to deliver performance on the open web beyond search and social channels. It operates using first-party data from Taboola's extensive publisher network, channeling these signals into two primary components: a real-time Decision Engine for budget reallocation and an Element Generator for dynamic creative updates.
Realize+ Roadmap and Integrations
Taboola plans to expand the platform's beta, with industry reports suggesting integrations with conversational AI workflows (MediaPost coverage). CEO Adam Singolda noted that such integrations aim to "remove barriers" for marketing teams who favor natural language for campaign planning.
Taboola Realize+ is an agentic AI platform that automates advertising campaigns on the open web. It leverages first-party publisher data to power its Decision Engine for real-time budget adjustments and an Element Generator for continuous creative refreshes, aiming to boost performance without manual intervention.
Initial adopters during the closed beta included performance agencies and mid-market brands. CEO Adam Singolda praised the platform's ability to "surface new growth opportunities." Official performance metrics are pending and will be released with future earnings reports.
Core Platform Features
- Real-time Decision Engine: Automatically shifts budgets to top-performing placements in milliseconds.
- Dynamic Element Generator: Continuously iterates ad creatives, assets, and audience targeting without manual input.
- First-Party Data Foundation: Utilizes Taboola Pixel data for precise retargeting and forecasting, offering a durable alternative to third-party cookies.
Market Context and Early Results
Internal case studies highlight the platform's potential, with clients reporting significant improvements in cost-per-engagement and cost-per-acquisition metrics. Taboola notes these preliminary figures are unaudited and subject to refinement in future financial reports.
The launch aligns with the growing agentic AI trend, which analysts view as a key orchestration layer for advertising. According to industry reports, the agentic AI market is experiencing substantial growth, with autonomous platforms like Realize+ positioned to capture spend as third-party cookies are phased out.
As the market awaits the general availability of competing tools from platforms like Meta, Taboola is positioning Realize+ as a premier open-web solution. The platform leverages strong publisher relationships and a first-party data strategy to maintain stable ROI for advertisers in a privacy-focused digital landscape.
What is Taboola Realize+ and how does it work?
Realize+ is an agentic AI platform that rebuilds campaign management for the open web. Two core modules run 24/7:
- Decision Engine (Budget Allocator) - shifts money in real time toward the best-performing placements
- Element Generator - writes new headlines, images and audience rules, then swaps them in as soon as lift is detected
Advertisers set a business goal (sales, leads, ROAS) and the system handles the rest without daily human tweaks.
Which data fuels the platform and why does it matter?
The engine is trained on Taboola's first-party data collected from thousands of premium publisher sites, OEM feeds and in-app placements. Early cases show significant improvements in cost per engagement for e-commerce brands and substantial lifts in conversion rates when first-party retargeting replaced third-party segments.
Because the data comes directly from trusted environments, it stays durable in a cookie-less world and outperforms traditional look-alike pools.
Who is already using Realize+ and what are they saying?
After several months in closed beta, the first advertisers include agencies like Strand Marketing. Co-founder Matt Linder noted they are "encouraged by the early results ... particularly its ability to optimize campaigns in real time and surface new opportunities for growth." The beta continues to expand to more brands.
How will Realize+ fit into the wider advertising stack?
Industry reports suggest the global agentic AI market is experiencing substantial growth as platforms automate everything from audience creation to media buying. By integrating with conversational AI tools, Taboola lets teams build conversational workflows - for example, asking an agent to "increase ROAS 20% this week" and watching budget, bids and creative refresh themselves.
What should marketers prepare before onboarding?
- Place the Taboola Pixel to unlock first-party audience signals
- Connect a clean Customer Data Platform feed so the Budget Allocator can value users correctly
- Set a single primary KPI (CPA, ROAS, lifetime value) - the agent optimizes toward that number, not proxy metrics
Early adopters running structured data feeds reported significant ROAS improvements within the first month of beta testing.