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Revenue VelocityFounded 2014 · 12 yrs

StackAdapt

The AI platform for every stage of advertising

By StackAdapt Inc. · HQ Toronto, Canada · 4.3/5 Value-Position score (estimate)

Positioning guardrails

Best for

  • Brands and agencies running multi-channel programmatic campaigns (CTV, video, display, native, audio, DOOH, email, direct mail)
  • Marketing teams consolidating planning, activation and measurement into one workspace
  • B2B marketers needing ABM and audience-targeting capabilities
  • Agencies managing programmatic buying for multiple clients
  • Teams that want AI-assisted forecasting and optimization grounded in their own campaign data

Ideal size: 10–500 people · Scale-up or enterprise marketing team with in-house programmatic or agency support

Not for

  • Teams that only need a single channel such as paid search or social
  • Buyers who require published self-serve list pricing before a demo
  • Organisations with no in-house or agency media-buying capability
  • Very small advertisers with minimal monthly media budgets

Value metrics scorecard

Time-to-Value

1–2 weeks

~14 days to first production value

Total Cost of Ownership

On request

Quote-based pricing tied to media spend; no public rate card. Buyers start with a demo or self-serve sign-up.

Implementation Friction

2/5

Engineering + admin effort required

Value-Position score

4.3

out of 5 · model estimate

Full cost breakdown

Mandatory implementation fee

None

Seat tiers

Not listed

Add-on costs

  • None

Company & support

Who is behind StackAdapt, and how your team gets help once it is live.

Company

Founded
2014 · 12 yrs in business
Headquarters
Toronto, Canada

How you get support

  • PhoneNot listed
  • EmailNot listed
  • Live chatNot listed
  • Support portal / ticketsNot listed
  • Community forumNot listed
  • Help centre / docsAll plans
  • Dedicated account managerNot listed
  • In person / on-siteNot listed
Hours
Not recorded
Response time
Not stated

“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.

Market position

Where StackAdapt sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.

Quadrant view

Typical annual cost × Time-to-value

$0/yr$120/yr$14k/yr6d10d14d23d33dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & PriceyStackAdaptPlaidBrazeBlueCartSemrushConductor

The lines cross at the median of the solutions shown, so about half sit on each side of each line.

StackAdapt is outlined. Click any dot to open its dossier.

Companies on the chart 6 / 10

  • StackAdapt
  • Plaid
  • Braze
  • BlueCart
  • Semrush
  • Conductor
Add or change companies

Up to 10 companies including StackAdapt. Listed closest first.

Stack fit signal

Compatibility with standard B2B ecosystems.

MCPNative

Ships an official MCP server. Connects to Claude Code, Claude Desktop, ChatGPT connectors and Cursor out of the box.

SalesforceNot supported
AWSNot supported
SnowflakeNot supported
HubSpotNot supported
Google WorkspaceNot supported
Microsoft 365Not supported
SAPNot supported
SlackNot supported

AI & MCP readiness

What StackAdapt ships in AI, and what it asks of your ecosystem.

AI features shipped

Copilot / assistantPredictive analytics

Ivy Studio is described as an AI-first advertising hub bringing planning, analysis, forecasting, optimization and execution into one workspace, with recommendations grounded in the customer's own campaigns, audiences, creative and performance data rather than generic outputs.

In your ecosystem

AI connection
Official MCP server
Model key
Not recorded
AI usage audit
Not recorded

Compliance attestations

SOC 2 — not heldISO 27001 — not heldGDPR — not heldHIPAA — not heldFedRAMP — not heldISO 42001 — not heldIAPP AIGP* — not held

* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.

Bottom line

StackAdapt is an AI-first programmatic advertising platform that unites planning, audiences, creative, channels and measurement. Marketers launch campaigns across CTV, video, display, native, audio, DOOH, email and direct mail from one workspace, with Ivy Studio providing AI-assisted analysis, forecasting and optimization. Data Hub, REST/GraphQL APIs and a native MCP server connect CRMs, customer data and AI agents. Pricing is quote-based, so expect a demo-led evaluation; 40,000+ brands and agencies use the platform.

Frequently asked questions

What does StackAdapt do?

StackAdapt is a programmatic advertising platform that connects campaign planning, audience data, creative, channel activation and measurement in one workspace. It runs campaigns across connected TV, video, display, native, audio, digital out-of-home, email and direct mail, and adds an AI workspace called Ivy Studio for analysis, forecasting and optimization.

How is StackAdapt priced?

The vendor does not publish a rate card. Pricing is quote-based and tied to media spend, and the site directs buyers to request a demo or create an account to start. Budget for a discovery call before you can compare it line-by-line with self-serve ad platforms.

How quickly can we get campaigns live?

Sign-up is self-serve and the vendor reports that 93% of clients say it is easy to get their campaigns up and running. Plan roughly one to two weeks for first production campaigns, longer if you need API, data-warehouse or CRM integrations wired in first.

Does StackAdapt offer an MCP server for AI agents?

Yes. StackAdapt's API documentation lists an MCP Server described as a secure portal for AI agents to interact with the platform, powered by its GraphQL API, and says it can be connected with Claude or ChatGPT in minutes. The same docs cover REST reporting, GraphQL management and Pixel APIs.

Can StackAdapt connect to our existing data stack?

The vendor cites Data Hub, APIs and partner integrations for connecting CRMs, customer data and AI tools, plus GraphQL for campaign creation and management and REST for reporting. Note that REST write operations are documented as deprecated, so new write integrations should target the GraphQL API.