PRODUCT LAUNCH: CAMPAIGN STUDIO
Syntasa Adds Conversational AI Agents and a Campaign Studio for Enterprise Marketers in 9.1 Release
Running web, email, and paid media campaigns simultaneously isn't unified marketing. It's just three teams with three dashboards and zero shared context.
The real problem is visibility: your paid media team doesn't know your email just converted that customer, and your web team is optimizing a journey that ended somewhere else entirely.
Syntasa's new Campaign Studio fixes that at the source, bringing every campaign across Web, Email, and Paid Media into a single workspace so status is instant, performance is comparable across channels, and execution follows a standardized three-step workflow without losing channel-specific control.
The three Conversational AI Agents in 9.1 are built on Context Engineering, a design principle that shifts the burden of AI interaction from the user to the platform, so marketers describe their business intent once and the agents work from there. No prompt engineering is needed, or any rule-builder expertise. Users can have natural conversations with AI that's already briefed on the mission.
The Campaign Health Dashboard gives teams a live cross-channel view for the first time, making it possible to make channel decisions with the full picture rather than siloed metrics. Campaign logic can be saved as reusable rules and applied across campaigns, managed from one place, with no tool-switching required.
Read the Full 9.1 Release →
SOLUTION HIGHLIGHT: IN-SESSION MARKETING
Most "Real-Time" Marketing? It's Just a Label, Not What Marketers Experience
Your events stream instantly. Your dashboards refresh in seconds. But if your decisions are still getting evaluated in batch jobs and overnight pipelines, you're not doing real-time marketing.
By the time that cart abandonment email fires, the customer has already moved on. Syntasa's In-Session Marketing adds an execution layer that sits between signal and action inside the live session itself, reading your warehouse intelligence and intervening while intent still exists.
A global electronics brand used it to identify on-the-fence shoppers in real time and trigger precision discounts only where needed, lifting low-intent conversions by 14% while protecting margin on high-intent traffic. An enterprise retailer deployed real-time product recommendations and saw a 3x increase in add-to-basket rates. You can start with one use case, prove ROI, and build from there with zero platform overhaul required.
Explore the In-Session Marketing Solution →
ON THE BLOG: AGENTIC AI
The Gap Between Your Data and Your Next Decision Shouldn't Take 3 Days
Your enterprise already has the behavioral signals, transactional history, and engagement data to drive smarter growth.
But you’re stuck with a huge gap between having data and acting on it, audience builds stuck in ticket queues, performance questions waiting on analysts, and AI tools that demand you export sensitive customer data just to access the intelligence inside it.
Syntasa's Agentic AI closes the gap by running directly inside your private cloud (AWS, GCP, or Azure) so compute comes to the data, not the other way around. No egress, no governance trade-offs, and no black-box outputs your data team can't inspect or tune.
Behavioral segments that once took three to five days to build are ready in minutes. Performance questions answered interactively, mid-campaign, without a queue.
Personalized messaging generated from actual behavioral context, with open rate lifts of 20% and click-through improvements of 66% in comparable deployments. And because the architecture is composable, you can deploy a single agent against a defined bottleneck, prove the ROI, and build from there without a platform overhaul.