Meta’s AI business assistant now resolves account issues 20% faster, the company revealed in its first quarter earnings call.
With the full implementation of Assistant last quarter, advertisers at the social media conglomerate can now more efficiently manage campaigns, access customized recommendations, and resolve common issues without relying on human assistance.
This positions the Assistant as part of a broader layer of automation across an advertiser’s workflow, with the tool working directly within day-to-day support, optimization, and campaign management, rather than as a standalone feature.
Susan Lee, CFO of Meta Highlights Assistant’s success in the first quarter. It brings practical value to advertisers’ entire workflows, simplifying key tasks and improving the way they run and optimize campaigns at scale.
“We are also leveraging AI to make it easier for businesses to manage their customers, develop ad creative, and engage with their customers,” she explained.
“Meta AI Business Assistant will be fully deployed to all advertisers eligible for supported Meta buying services, providing advertisers with personalized recommendations, resolving account issues, and uncovering campaign insights to help optimize results.”
Meta’s AI business assistant records 20% improvement
As Meta’s AI business assistant has moved from testing to deployment, the tool is now operating at scale using the core advertising platform as a support and optimization layer.
“Since we started testing the Assistant in Q4, we’ve seen strong performance, with common account issues being resolved at a 20% higher rate,” Li continued.
The assistant is now able to handle millions of advertiser interactions each week, and has seen significant growth compared to the previous quarter.
These measurable results demonstrate that front-line human solutions are enhanced by the Assistant taking care of advertisers’ day-to-day problems, providing customized recommendations, and uncovering campaign insights all in one place.
As a result, you’ll find that ad account management is less tedious, the need for manual troubleshooting and support escalations is reduced, and the system effectively addresses a high volume of reproducible issues that slow down your campaigns.
Faster issue resolution in campaign workflows
For marketing teams, this changes the way brands interact with Meta’s platform, allowing them to resolve issues faster and act on real-time guidance within their workflows instead of relying heavily on support channels and manual analysis.
A 20% improvement in problem resolution suggests that more issues are being addressed immediately or on the first contact. This means your campaigns are less likely to be stopped due to account errors, policy flags, or misconfigurations.
Reducing the complexity of day-to-day campaign management with automated support and troubleshooting ensures faster remediation, less downtime, and fewer manual escalations when issues arise.
As a result, marketers can spend more time on strategy, creative testing, and performance optimization, while AI handles diagnostics, basic fixes, and insight generation in the background.
The tool also moves campaign optimization to an always-on AI layer, allowing assistants to move away from reactive functions and surface insights and recommendations, allowing marketers to get guidance in real-time instead of relying solely on periodic analysis and human assistance.
On a broader level, this moves marketing towards self-service and operations at scale, allowing teams to manage more campaigns with fewer resources, and making support teams less central to day-to-day issues.
The end result is reduced operational overhead and faster execution across paid media teams.
Reduce friction in customer service
For CX, this marks a shift towards more automated resolution of common problems without the need for human support intervention.
Issues that previously required a ticket or interaction with a service team are now resolved more quickly, reducing wait times and limiting interruptions when issues occur.
This transition will also change the structure of support, with Assistant unifying troubleshooting, guidance, and insight delivery in one system, making it more likely that users will get immediate, contextual answers within the platform they already use, reducing friction and uninterrupted workflows.
Thanks to a 20% improvement in resolution rates, fewer cases are escalated beyond the first layer of support, which means less workload for CX teams and frontline agents, and more ability to focus on complex and high-value issues that AI can’t handle.
This move to an embedded, AI-driven service model provides proactive, continuous assistance rather than reactive, ticket-based assistance, improving experience consistency and reducing delays across the customer journey.
Key revenue results for Meta
In its quarterly earnings report, Meta revealed strong results including increased ad revenue, higher ad prices and impressions, increased user engagement across its platforms, and increased adoption of AI tools for advertisers to improve campaign performance and support efficiency.
- Meta reported total revenue of $56.3 billion, up about 33% year over year.
- Advertising continues to be the primary source of revenue, generating $55 billion, or approximately 95% of total revenue.
- almost 3.56 billion people Use at least one meta app every day on average
- 19% increase in ad impressions
- 12% increase in average price per ad
