iCustomer Launches Audience Loop, an Agentic AI Audience Workspace for Marketers

iCustomer has launched Audience Loop, an AI-powered workspace. It helps growth and performance marketers to create, clean, grade, sync, and use quality audience lists across channels. The platform will debut on Product Hunt on November 21. Early adopters can access it first and share feedback with the product team.

For many marketing teams, managing audiences is often fragmented and time-consuming. Campaigns often use various spreadsheets, CRM exports, event lists, and messy CSV files. Agencies and tools often prioritize creative development and campaign execution. So, audience lists sometimes receive less focus. They are usually uploaded just once. They stay unenriched, ungraded, and disconnected from real business goals.

Audience Loop reimagines this workflow by making audience preparation the foundation of every campaign rather than an afterthought.

“Every campaign lives or dies on the audience, not the ad,” said Abhi Yadav, Co-Founder & CEO of iCustomer. “Today, marketers are forced to be part-time data or GTM engineers just to get a decent list or wire up integrations. Audience Loop is your AI audience team in a spreadsheet, so you can stop wrangling data and start testing offers and creative on audiences that are actually ready to buy.”

Also Read: StackAdapt and iHeartMedia Bring Radio to Programmatic Ads

Transforming Static Lists Into Live, Graded Audiences

Audience Loop integrates directly into the tools marketers already use—namely spreadsheets and CRMs—to convert static, fragmented lists into dynamic, decision-grade audiences ready for activation.

Sheet-Native Workspace

Marketers can build, manage, and modify audiences inside a familiar spreadsheet interface. With one-click actions like enrich, dedupe, expand, or suppress, AI agents handle the heavy lifting behind the scenes.

Unified Audience Hub

Users can bring together CSV uploads, CRM segments, newsletter subscribers, webinar attendees, event lists, and more to create a single centralized workspace for all contacts.

AI-Driven Enrichment and Validation

Audience Loop’s agents automatically clean and enrich records—standardizing job titles, verifying company data, matching domains, identifying ICP attributes, and capturing intent signals to maintain freshness and accuracy.

Improved Match Quality for Paid Media

By standardizing and validating records before activation, Audience Loop boosts match rates across platforms such as LinkedIn, Meta, Google, and The Trade Desk-ensuring more audience members appear in the channels where marketers are investing budget.

Closed-Loop Analytics With Audience Grading

Before syncing, the platform runs a pre-flight fit check that scores audiences (0–100) and assigns grades (A–F) based on persona match, ICP fit, timing/intent, reachability, and compliance. Each audience is linked to downstream campaign performance, so match rates, delivery, engagement, and outcomes flow back to the source list. Over time, every audience becomes progressively smarter rather than starting from scratch.

Always-On, Continuously Updated Audiences

AI agents keep audiences refreshed and connected to performance data in real time, eliminating repeated list-cleaning efforts and reducing manual analytics work.

Purpose-Built for Marketers, Not Data Teams

Audience Loop is built specifically for self-serve growth, lifecycle, and performance marketers—offering templates and workflows tailored to acquisition, retargeting, win-back, and expansion programs. The platform focuses on solving the foundational challenge: getting the audience right before spending on media or creative.

“Most tools assume you already have a pristine audience, then show you fancy campaign builders,” Yadav added. “We started where the real work happens: getting the audience right. Audience Loop makes your lists honest, if it says an audience is an A, you know why.”