iWorld
Adfluence makes a big data splash in the influencer marketing pool
MUMBAI: In the ever-evolving world of digital-first strategies, influencer marketing is no longer just about charisma and clicks, it’s about cold, hard data. Enter Adfluence Hub, a platform that’s quietly transforming how brands collaborate with influencers by turning guesswork into precision-led campaigns.
Designed as a one-stop shop for influencer marketing, Adfluence goes far beyond discovery tools. From competitor analysis and industry trends to SOV tracking and content QC, it wraps creativity in a data-driven blanket. Its AI-powered video quality control ensures that influencer content doesn’t just look pretty, it aligns with brand standards and keeps audiences glued to the screen.
“At Adfluence Hub, we bridge the gap between creativity and data-driven marketing,” said Adfluence Hub co-founder Amev Burman. “Our platform enables brands to connect with their audiences more effectively, making influencer marketing seamless and effective.”
Whether you’re a startup or a seasoned brand, Adfluence equips you with tools to analyse campaign performance, audience engagement, and overall impact helping you scale with clarity, not chaos. And for influencers, it’s a streamlined gateway to top-tier collaborations, sans the managerial headache.
The platform’s Managed Services also offer full-scale campaign support from planning to execution making it a reliable growth partner for brands navigating the noisy digital space.
Adfluence doesn’t just match brands with influencers. It fosters genuine relationships, curates content that resonates, and delivers metrics that matter proving that when data dances with creativity, marketing magic happens.
iWorld
Meta launches AI connectors for ads in open beta
Tools enable campaign creation, reporting and insights via AI platforms.
MUMBAI: If ads were once about gut feel, Meta now wants them run on autopilot with AI riding shotgun. The company has unveiled its Meta ads AI connectors in open beta, a move aimed at embedding campaign creation, management and analysis directly into the AI tools advertisers already use. The push reflects a broader shift in digital advertising: from platform-led workflows to AI-assisted, cross-tool execution.
At the heart of the rollout are Meta’s ads model context protocol (MCP) server and a command line interface (CLI), which together allow advertisers to securely link their ad accounts to AI agents. The promise is straightforward real campaign data, not generic prompts, powering decisions across workflows.
The connectors are designed to streamline multiple layers of campaign management. Advertisers can generate detailed performance reports, create and edit campaigns using natural language, manage product catalogues, and diagnose signal quality, all without leaving their preferred AI environment.
Meta is also leaning into ease of adoption. For MCP, the company says setup requires no coding, developer credentials or API integrations, positioning the tools as accessible for businesses of varying sizes and technical maturity.
The launch complements Meta’s existing AI business assistant within Ads Manager, which focuses on recommendations and troubleshooting inside the platform. The connectors, by contrast, extend that intelligence outward into third-party AI tools that marketers increasingly rely on for cross-channel planning and automation.
The underlying strategy is clear: instead of forcing advertisers deeper into its ecosystem, Meta is meeting them where they already work while still keeping its data and ad infrastructure at the core of decision-making.
As AI continues to reshape how campaigns are conceived and executed, Meta’s latest move signals a future where managing ads may feel less like operating software and more like having a conversation.
