Multiply is an AI-native media agency that manages and optimizes B2B paid campaigns on Google and LinkedIn. Using a self‑learning framework, the platform ingests sales and CRM data, generates hundreds of ad variations, runs continuous A/B tests, and scales winning assets based on pipeline revenue rather than clicks. The service is delivered by in‑house media experts who oversee AI agents, and clients are billed for the managed advertising performance and ongoing optimization.
Funding
Funding not disclosed
Founders
Product
Problem
B2B companies often struggle to keep paid‑media campaigns on Google and LinkedIn aligned with real sales outcomes. Manual A/B testing, creative refresh, and audience tuning are time‑intensive and quickly become outdated, leading to wasted spend and stagnant pipeline growth.
Solution
Multiply delivers an AI‑native managed service that transforms sales‑force and CRM signals into continuously optimized ad campaigns. Proprietary AI agents ingest call transcripts, pipeline data, and historic ad performance, then generate and launch hundreds of structured experiments across copy, creative, audience segments, and bid strategies. Winners are auto‑scaled while under‑performing variants are paused, with optimization driven by revenue‑level metrics rather than clicks alone. The platform refreshes creative assets and targeting weekly, ensuring ads remain fresh and competitive. Human experts set strategic direction and supervise the AI loop, providing a hybrid model that blends domain expertise with machine‑learning speed.
Target Audience
The service targets B2B demand‑generation and growth‑marketing teams at mid‑size to enterprise firms that run paid‑media programs on Google and LinkedIn and need data‑driven, continuously optimized campaigns.
Features
- Data pipeline that normalizes sales‑call recordings, CRM fields, and pipeline stages into training inputs for the ad‑generation engine.
- Multi‑agent architecture: Customer‑Insights Agent, Keyword Agent, Creative‑Design Agent, A/B‑Testing Agent, Bidding Agent, and Attribution Agent operate in parallel to cover the full campaign lifecycle.
- Automated experiment orchestration that creates and runs up to hundreds of ad variants simultaneously on Google Ads and LinkedIn Campaign Manager.
- Revenue‑signal feedback loop: conversion and pipeline outcomes feed a reinforcement‑learning model that automatically scales high‑ROI ads and terminates losers.
- Weekly generative refresh of ad copy, visuals, and audience definitions using large‑language‑model and generative‑design techniques.
- Integrated reporting dashboard with real‑time attribution, cost‑per‑pipeline‑stage, and ROI visualizations.
- Expert‑in‑the‑loop oversight that aligns AI decisions with overall demand‑generation strategy and compliance requirements.