Marketing Campaign Manager

What It Does

A/B Testing with AI Agents

Multiple AI agents run the same campaign under identical budget constraints — but each takes a different strategy, emphasis, and approach. At the end of the campaign cycle, the system ranks every agent by ROI, conversion, and engagement.

You see which strategy wins before committing real spend. The system produces a leaderboard, per-round breakdowns, and a final recommendation on which approach to scale, hold, or cut.

Quick Facts

Agents 5 per simulation

Model A/B testing

LLM Your choice

Hosting Your infrastructure

Pricing from RM7,500

Who It's For

Built for Marketing Agencies. Works for Any Strategy Comparison.

📱

Social Media Agencies

Pit channel strategies against each other — email, social, paid search, display, affiliate — same budget, different results

✍️

Copywriting Agencies

Test ad copy angles — emotional, logical, urgency, storytelling, humor — on the same brief and word count budget

📞

Lead Gen Agencies

Compare cold email, LinkedIn outreach, Google Ads, Facebook Ads, and referral programs under the same monthly spend

🔍

SEO Agencies

Run parallel strategies — on-page, link building, content, technical, local SEO — on the same keyword targets

🎨

Creative Design Agencies

Compare asset formats — carousel, video, banner, email, landing page — under the same production budget

🛒

E-commerce Campaign Teams

Test campaign approaches for 11.11, Christmas, CNY, or Hari Raya — same budget, different tactics, measurable winner

This demo runs as a social media marketing agency simulation with 5 channel-specialist agents. The same A/B testing system works for any scenario where you want to compare multiple strategies under equal conditions — copywriting angles, lead gen channels, SEO approaches, creative formats, or seasonal campaigns.

How It Works

Three Steps to Data-Driven Strategy

1

You Define the Campaign

Set the campaign objective, budget, number of agents, and evaluation criteria (ROI, conversion, engagement).

2

AI Agents Compete

Each agent runs the same campaign with a different strategy. They make decisions round by round — allocating budget, choosing tactics, and optimizing for results.

3

You Pick the Winner

The system produces a leaderboard, per-round breakdowns, and a final recommendation — scale up, hold, or cut each approach.

See It Working

Try the Reference App

This is the actual deployed app. Your version is configured for your campaign type and evaluation criteria.

Launch Live Demo →

Pricing

Get This System Built

Standard

RM7,500

Custom configuration for your campaign type, agent personas, and evaluation criteria.

Custom

from RM15,000

Multi-campaign systems with advanced scoring, historical tracking, and integrations.

API fees, hosting, and domain not included. See full pricing →