What is Madison Logic?
Madison Logic is an account-based marketing platform that combines AI-driven buyer intent data with multi-channel ad and content activation, then measures the effect on pipeline. B2B marketers use it to find accounts that are in market, reach their buying groups across several channels and report on revenue impact. The company says more than 500 brands use it to reach over 415 million decision-makers. It also covers 129 industries, according to the company.
Madison Logic is known for pairing intent with ABM content syndication, where your gated assets are distributed to people at target accounts. On top of that, it runs ABM display, connected TV, audio and LinkedIn social campaigns from the same account plan. ML Insights prioritizes in-market accounts, and ML Measurement reports on pipeline and revenue. Pricing is not published and is handled through demos.
Madison Logic at a glance
How does Madison Logic work?
- Build your target account list
Define the accounts and buying groups you want to reach, often from your CRM or ABM plan.
- Prioritize with ML Insights
AI-powered intent data highlights which accounts are actively researching your topics.
- Activate across channels
Run content syndication, display, CTV, audio and LinkedIn ads aimed at in-market accounts. Each channel can be switched on based on budget and the buying stage of each account.
- Sync engagement
Send leads and engagement data to your marketing automation platform and CRM.
- Measure pipeline impact
Use ML Measurement to see how campaigns affect pipeline velocity and revenue.
Madison Logic key features
ML Insights
Prioritizes in-market accounts using AI-powered intent data.
ABM content syndication
Distributes your content to decision-makers at target accounts to generate engaged leads.
ABM display advertising
Serves display ads to accounts showing in-market activity.
ABM connected TV
Runs video ads on connected TV devices aimed at target accounts.
ABM audio advertising
Reaches buyers through streaming music, news and podcasts.
LinkedIn social advertising
Targets buying groups on LinkedIn as part of the same ABM program.
ML Measurement
Reports on pipeline and revenue influence of your campaigns.
AI capabilities
Applies buying signals to planning, targeting and execution.
Why use Madison Logic?
- It joins intent data and several activation channels under one account plan.
- Content syndication can turn intent signals into engaged leads with contact details.
- Reaching buyers on display, CTV, audio and LinkedIn builds awareness across the whole buying group.
- Measurement focused on pipeline helps justify ABM budgets to leadership.
- Integrations with marketing automation and CRM keep sales in the loop.
- Connected TV and audio give B2B brands reach in places where competitors rarely advertise.
Who is Madison Logic best for?
A good fit for
- B2B demand generation and ABM teams
- Enterprise tech and services companies with large target account lists
- Marketers who rely on content syndication for lead generation
- Teams wanting managed multi-channel ABM campaigns
Less suited to
- Small businesses with modest marketing budgets
- B2C advertisers
- Teams that want a self-serve tool with published pricing
Madison Logic pricing
| Pricing model | Contact sales |
|---|---|
| Free plan | Not confirmed |
| Free trial | Not confirmed |
| Starting price | See the official pricing page |
Madison Logic does not publish pricing. Campaigns and platform access are scoped after a demo, with cost typically tied to the channels, programs and volume you run.
Prices checked October 2026. Vendors change plans often, so confirm on the official website before you buy.
Madison Logic pros and cons
Pros
- Broad channel mix including CTV and audio
- Strong content syndication offering
- Intent data and measurement in the same platform
- Works across many industries and regions
Cons
- No public pricing
- Less suited to small teams or tight budgets
- Results depend on the quality of your content and target account list
Madison Logic integrations and platforms
Works with
Available on
Madison Logic alternatives
See the full shortlist in Best ABM Platforms.
Madison Logic FAQ
What is Madison Logic used for?
Madison Logic is used by B2B marketers to run account-based marketing programs. It identifies in-market accounts with intent data, then reaches them through content syndication, display ads, connected TV, audio and LinkedIn. It also measures how those programs contribute to pipeline and revenue. It suits teams that want one partner to plan, run and measure account campaigns across channels.
What is ABM content syndication?
ABM content syndication means distributing your content, such as reports or guides, to people who work at your target accounts. When they engage, you receive leads tied to those accounts. Madison Logic combines this with intent data so content reaches accounts that are actively researching relevant topics.
How much does Madison Logic cost?
Madison Logic does not list prices on its website. Cost depends on the programs and channels you run, such as content syndication, display, CTV or LinkedIn, and the volume of accounts or leads involved. You request a demo and receive a custom proposal. Ask about minimum commitments and lead volume guarantees during the sales process.
Madison Logic vs Demandbase: what's the difference?
Both support account-based marketing with intent data and advertising. Madison Logic is strong in content syndication and offers a wide channel mix including CTV and audio. Demandbase is a broader GTM platform that adds sales intelligence and data products for both marketing and sales teams. Teams that depend on content syndication for lead flow often lean toward Madison Logic.
Does Madison Logic integrate with a CRM?
Yes. Madison Logic lists integrations with marketing automation platforms, CRM systems and LinkedIn. Leads and engagement can flow into those systems so sales teams can follow up on active accounts. Confirm support for your specific tools with the Madison Logic team.
Sources
This overview is based on Madison Logic's official website and documentation, checked October 2026.