Updated 11 November 2026 · ADIN.AI
Most large advertisers end up with two of these, not one. Below you'll find a one-line verdict for each, a comparison table, and seven questions to ask before you choose.
- Pick by planning job. A flowchart, a reach curve, a budget split and a decision are four different outputs.
- Ask where the plan comes from. A template, panel data, a model, or your own campaign history.
- Check what happens after the plan. Many tools stop at the document. Few connect to in-flight changes.
- Check what the plan is connected to. A plan that can't see creative performance or consumer shifts is half a decision.
- Keep people on approvals. Set what the system may change, and who signs off.
How did we compare them?
We looked at four things: the planning job each platform does, where the plan comes from, what happens after the plan is approved, and who the platform was built for. Descriptions are based on each vendor's public materials as of November 2026. We did not test the products side by side. Most prices are not public, so we left them out.
Yes, we make one of these platforms. We've tried to say plainly where ADIN.AI is not the right choice.
The 8 platforms
1. Bionic: best for building and trafficking media plans
Built for the daily work of media planning: flowcharts, RFPs, insertion orders and trafficking. It suits agency teams that produce many plans a week and want one place to keep them.
Watch out for: what happens after the plan is approved. Check how it connects to in-flight budget changes.
2. Camphouse: best for managing campaigns across markets
Camphouse is the new name of Mediatool, since February 2025. It gives brand and agency teams a shared workspace for plans, budgets and reporting across countries. A lighter system than a full agency suite.
Watch out for: how much of the plan it drafts for you, and how much your team still builds by hand.
3. Mediaocean: best for tying plans to finance
Planning, buying and finance records in the same system. Large agencies and brands use it when the plan has to match the invoice. It is the heaviest option here and the closest to a system of record.
Watch out for: whether it helps decide where budget should move, or mainly records where it went.
4. Nielsen Media Impact: best for reach and frequency planning
Plans how many people a mix of channels will reach, and how often. The choice when the question is audience delivery across TV and digital.
Watch out for: daily optimisation. It answers a planning question, not an in-flight one.
5. Keen Decision Systems: best for budget modelling
Uses marketing mix modelling to recommend how to split budget across channels. It answers "how much should each channel get next quarter?" and suits finance-minded marketing teams.
Watch out for: the step from the recommended split to changes inside each ad platform.
6. Basis: best for a draft plan from a client brief
An advertising platform for agencies that covers planning and buying workflow. Its Compass tool, launched in April 2026, reads a client brief and produces a structured first draft with channels and budget splits.
Watch out for: how the draft uses your brand's own past results.
7. Equativ Maestro: best for programmatic planning
Equativ launched its Media Planning Agent inside the Maestro platform in December 2025. It turns a brief into programmatic deal strategies. Equativ says it can cut up to 40% of planning time (company-reported).
Watch out for: channels outside programmatic, such as search and the large social platforms.
8. ADIN.AI: best for end-to-end planning across media, creative and consumer intelligence
ADIN.AI is AI infrastructure for enterprise marketing. It is not a DSP or an ad network. It works on top of the buying tools you already use. Three parts sit in one platform and link to each other: Media Intelligence plans and moves budget, Creative Intelligence scores the ads, and Consumer Intelligence (Market Radar) tracks what people in each market are starting to do. The AI Media Planner drafts a cross-channel plan from a brief in minutes, using the brand's own performance history, rules and past decisions (Brand Memory). After launch, the same system recommends budget moves. Your team approves each change or lets ADIN.AI apply it inside limits you set, and every change is logged.
Watch out for: size. It's built for enterprise budgets. A smaller advertiser on one or two channels is better served by the native tools.
How do they compare?
| Platform | Main planning job | Plan is built from | Built for |
|---|---|---|---|
| Bionic | Plan production and trafficking | Planner input and templates | Agency planners |
| Camphouse | Cross-market campaign workflow | Shared plans and budgets | Brand and agency teams |
| Mediaocean | Planning tied to buying and finance | System-of-record data | Large agencies and brands |
| Nielsen Media Impact | Reach and frequency | Audience measurement data | Strategic planners |
| Keen | Budget split across channels | Marketing mix models | Marketing and finance leads |
| Basis | Draft plan from a brief | Brief plus platform data | Mainly agencies |
| Equativ Maestro | Programmatic deal planning | Brief plus supply data | Traders and programmatic buyers |
| ADIN.AI | End to end: plan, in-flight budget, creative and consumer signals | The brand's own history, rules, creative scores and market signals | Enterprise brands, also agencies |
Which platforms unify planning, activation and optimisation?
Few do all three. Mediaocean and Basis connect planning to buying workflow. Equativ Maestro connects planning to programmatic activation. ADIN.AI connects a cross-channel plan to in-flight budget changes across the platforms you already buy on, with approvals and a change log.
A useful test: ask each vendor to show what happens on day 10 of a campaign when one channel underdelivers. If the answer is "export a report", planning and optimisation are not unified.
There is a second link most planning tools miss. A channel can underdeliver because the creative is tired, or because people in that market have changed how they shop. In ADIN.AI the plan, the creative scores and the consumer signals sit in the same platform, so the team sees all three before it moves the money. With separate tools, someone has to put that picture together by hand.
How do enterprise AI media planning platforms compare for large companies?
For a large company the difference is less about the quality of the first draft and more about control. Four things separate the options: whether the plan learns from your own campaigns, whether it is connected to creative and consumer insight, whether spend limits per market and channel live in the system, and whether every change has an approver and a record.
Adoption is still early. BCG's 2026 survey of 300 CMOs found that 96% say AI is changing marketing, while 8% run autonomous multi-agent campaigns. For the workflow itself, see how AI is changing media planning for enterprise brands.
Agency planning tools or independent technology?
Many agencies plan with tools built in house for their own teams, or with third-party software. Basis's 2026 Advertising Agency Report found that 29.1% of agencies use AI for media planning. So most agency planning still runs the old way.
Independent technology companies have two advantages here. First, focus. They build one product with one team, so it gets better fast. Second, the business model. An agency's income is mostly tied to people and hours. A software company's income is tied to how well the product works. It has no hours to sell and no media to buy, which keeps it independent and easier to trust.
This is not a case against agencies. They bring strategy, buying power and creative judgement. The question is who should own the system that plans, checks and records the money. For most large brands, the answer is an independent platform their agencies also work in.
What should a large advertiser ask before choosing?
- Does the plan learn from our own campaigns, or from generic benchmarks?
- Can we set spend limits per market and per channel?
- Who approves a change above a set amount?
- Is every change recorded with a reason?
- Does it work with the buying tools we already have?
- Is the plan connected to creative performance and consumer shifts, or does it stand alone?
- Is the vendor independent of the people who buy the media?
What brands have seen with ADIN.AI (company-reported, from published brand stories): Vodafone cut cost per view and cost per thousand impressions by 41.3% on a home internet campaign. Maybelline cut cost per ad recall by 71%. L'Oréal started with one pilot and expanded to 20+ brands.
Frequently asked questions
What is AI media planning?
AI media planning uses software to draft a media plan from a brief: channels, budget split, audiences and expected results. People still set the goals and approve the plan.
Does AI replace media planners?
No. It removes the manual build and the repeated reporting. Planners spend more time on goals, trade-offs and reviewing what the system suggests.
What is the difference between media planning software and a DSP?
A DSP buys ad inventory. Media planning software decides where the money should go before and during the campaign. Many enterprises use both.
What does end to end mean in ADIN.AI?
Media, creative and consumer intelligence in one platform, linked to each other. The plan, the creative scores and the market signals use the same brand data, so a planning decision can take all three into account.
Is ADIN.AI a media agency?
No. It's a software platform. Brands and their agencies use it alongside their buying tools.
How long does it take to see a first plan?
The AI Media Planner drafts a cross-channel plan from a brief in minutes. A paid pilot on live campaigns shows how it performs on your own data.
Sources: Basis, 2026 Advertising Agency Report. BCG, Making the agentic marketing transformation a reality (June 2026). Equativ, Media Planning Agent launch (9 December 2025). Vendor descriptions are based on each vendor's public materials as of November 2026. ADIN.AI customer results are company-reported.
