Customer Success Story

RevSure Marketing Mix Modeling (MMX) Reveals the Hidden Power of LinkedIn Ads in Agent.ai’s Q1 & Q2 Success

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Headquarters

Mountain View, California

Industry

AI & Automation

Company Size

11-50 Employees

Website

Overview

Agent.ai, an AI-powered platform that helps businesses automate customer interactions, entered 2025 with ambitious goals focused on deep user engagement. In Q1 2025, Agent.ai grew its base to over 1 million new sign-ups, primarily via Google Ads, but faced a lingering question:

“Are our marketing dollars—especially LinkedIn’s—actually moving users forward into high-value, long-term adoption? Should we be spending even more on LinkedIn?”

Fast-forward to Q2 2025: within the first 24 days of the quarter, Agent.ai observed a significant acceleration—not in raw sign-ups, but in the activation of long-term, multi-agent users from the existing pool of members.

“Are our marketing dollars—especially LinkedIn’s—actually moving users forward into high-value, long-term adoption? Should we be spending even more on LinkedIn?”

Sam Mallikarjunan,
General Manager

Agent.ai Wins with RevSure

Scaled High-value User (HVU) acquisition with smarter channel mix

86%

HVUs from LinkedIn at just 13% of Google’s spend.

34%

Lower cost-per-HVU on LinkedIn vs. Google.

10X

Reduction in Google spend without a drop in the number of HVUs.

2.5%

ROAS lift revealed by RevSure’s MMX.

63%

HVUs retained on LinkedIn post-budget shift.

Google ad spend had been significantly optimized and reduced by a factor of 10:1 in Q2 compared to Q1, while LinkedIn ad spend remained steady. The outcome was clear: LinkedIn, despite a much smaller budget historically, was now contributing nearly at the same level as Google to the core objective—creating high-value, engaged users.

Let’s explore that. Thanks to RevSure’s Marketing Mix Modeling (MMX), LinkedIn’s assistive power in user maturation—previously hidden under simple last-click reporting—became undeniable.

Q1 2025

Q2 QTD

Goals

Agent.ai defined clear Q2 objectives:

Advance more members into long-term high-value user stages

(users operating multiple AI agents, consistently engaging with the platform).

Maintain and allocate spend

toward the channels actually driving meaningful user maturation, not vanity metrics like sign-up volume.

Performance Snapshot: Q1 vs Q2

Q2 2025 to Date (April 1 – April 24)

Google Ad spend has been reduced 10:1 and optimized.

How RevSure MMX Illuminated the Full Picture

About RevSure’s MMX Methodology:

RevSure’s Marketing Mix Modeling (MMX) measures the group-level incremental contribution of each marketing channel to long-term outcomes like multi-agent adoption. Instead of relying on single or multi-click attribution, MMX evaluates how much lift each channel provides relative to a natural baseline—and normalizes contributions to ensure they sum to 100% of observed results.

LinkedIn contributed nearly as many High-Value Users (HVUs) as Google in Q1, despite receiving only about 13% of the budget.

In Q2 to date, with Google’s spend cut by approximately 75%, HVU volume increased—strongly supported by LinkedIn’s steady contribution.

LinkedIn’s efficiency in generating HVUs remained strong across both quarters, with LinkedIn achieving a lower cost per HVU than Google in both Q1 and Q2.

85%

lower Q1

34%

lower Q2

MMX modeling confirmed that LinkedIn’s impact on long-term user activation was significant, even though traditional single or multi-click attribution underreported it.