Independent DSP · Media Buying Intelligence
Maagnetix is an independent Demand-Side Platform (DSP) powered by a closed-loop intelligence layer. We connect audience signals, customer journeys, programmatic buying and autonomous optimization into one operating system — so every media decision learns from the last.
The Platform
An independent DSP execution engine uniting audience intelligence, customer journey state, and autonomous optimization into one operating loop.
Deep-dive into our execution pipelines, audience clustering, state models, and autonomous agent loops.
Product Experience
Every panel answers a decision — who to reach, where they are, where to spend, and what to change next. No vanity metrics.
High-intent researchers
212K · +4.2%
Cart abandoners · 14d
48K · +1.1%
CTV-first intendersDiscovered
129K · new
Signals: behavioral · contextual · first-party
CTV
$12,400
Video
$9,200
Display
$8,150
Native
$5,300
Inventory, bid, pacing and budget controls — in one view.
Awareness
48,200
26%
Interest
12,400
31%
Desire
3,900
22%
Action
860
Interest → Desire transitions up 12% this week — Desire-stage creative queued
Optimization Agent · Shift 8% budget to CTV
Awaiting approval
Pacing risk detected · Display, 2 campaigns
Auto-guarded
Journey shift · Interest → Desire up 12%
Creative swap queued
Bid floor change verified · CPA held at $841
Measured
Marketplace
Bring in industry-specific AI agents and expert Account Managers to operate accounts, build media plans, and automate repeatable workflows — inside the same system that holds your media context.
Vertical Intelligence
Optimizes automotive campaigns from high-funnel brand awareness down to dealership foot traffic and test-drive conversions.
Example task
“Shift budget toward in-market SUV buyers within a 20-mile radius of our top 50 dealerships.”
Vertical Intelligence
Connects product-level ROAS, inventory data, and retailer-specific bidding strategies to maximize digital shelf space and conversions.
Example task
“Reallocate bids to prioritize high-margin SKUs currently running low on organic visibility.”
Vertical Intelligence
Understands visual trends, seasonal buying cycles, and influencer-driven purchasing paths for cosmetics and personal care.
Example task
“Launch a retargeting sequence for audiences who engaged with the new summer skincare video tutorial.”
Outsourced Operations
Bring in senior human operators from the marketplace for complex setups, bespoke strategy, escalations, and white-glove delivery when you need additional capacity.
Example task
“Take over daily optimization, pacing, and client reporting for the Q4 multi-market product launch.”
Solutions
Brands and agencies each enter the loop differently. Explore your dedicated workflow.
Human + Machine
Not beside it.
Automation gives people leverage. Humans define boundaries and remain accountable for high-impact decisions. Maagnetix makes media operators more capable — it doesn't replace them.
Human Judgment
Goals, context and accountability
Guardrails
Budget, CPA, brand-safety boundaries
AI Recommendations
Recommendation inside the boundaries
Executions
Bids, budgets, audiences, creative
Outcome
Outcomes return as evidence and shared context
Manifesto
Media is not a line item. It is a living system of decisions, signals, people and outcomes.
Buying is not the end of strategy. It is where strategy becomes observable.
Audiences are not static lists. They evolve with behavior, context and intent.
A journey is not a slide. It should shape the next media decision.
Optimization is not a weekly meeting. It should be a continuous operating loop.
Automation is not about removing people. It is about giving people leverage — and giving machines boundaries.
AI should not live beside the workflow. It should live inside the work.
Every media action should create learning. Every learning should make the next action better informed.
Maagnetix exists to make media buying intelligent by design.
Media Buying Intelligence
Connect your audience, journey, buying and optimization into one operating loop.
Six properties compound with every campaign you run — the longer the loop runs, the wider the gap.
Planning, activation, outcomes and optimization feed one another — nothing decays between tools.
The system learns how your advertiser, audiences and strategy behave — not averages from other accounts.
Insight and action sit next to each other, shrinking the distance between knowing and doing.
People and AI agents work inside the same account context, controls and accountability.
Campaign decisions, changes, signals and outcomes persist as reusable context — cycle after cycle.
Value comes from decision quality, not lock-in to one inventory source.
