Who We Insure

Insurance for MarTech Companies

A martech company runs on other companies' customer data and sends messages in their name, at scale. That combination — vast consumer information flowing through a multi-tenant platform, plus the power to email, text, or target millions on a client's behalf — makes martech's risk about consent, data, and deliverability as much as uptime. A misconfigured send, a consent or opt-out failure, or a breach of a customer-data platform does not harm one record; it harms a client's entire audience and their standing with regulators and their own customers.

Why martech companies carry specialized insurance

Insurance requirements arrive through data-processing agreements and enterprise procurement. Brands treat their customer lists as regulated assets and demand Tech E&O and cyber minimums, data-processing terms, sub-processor disclosures, and security attestations before connecting a martech tool to their CRM or customer-data platform. Messaging providers face particular insistence on consent and anti-spam compliance — under frameworks such as the TCPA and CAN-SPAM — because liability for an improper send can flow both to the brand and back to the platform. A OnePark Risk advisor structures a martech program around what the platform does with data and messaging — pure analytics, storing consumer information in a customer-data platform, or actually sending on a client's behalf — because consent-based messaging carries class-action exposure and privacy-liability that a reporting tool simply does not.

The risk profile of a martech company

Martech risk concentrates in consent and data: the platform holds and acts on consumer information belonging to many brands at once, so a single failure can cross an entire audience and multiple clients. Key exposures: Consent, opt-out, and anti-spam failures in email and SMS sending that expose clients and the platform to class actions under frameworks such as the TCPA and CAN-SPAM; Breach of consumer information aggregated across many client brands in a multi-tenant platform; Misdirected or erroneous campaigns — wrong list, wrong offer, or mis-targeted personalization; Deliverability and data-accuracy failures that cause a client revenue loss; Privacy-consent and tracking exposure as data-processor obligations tighten; Contract liability and indemnification under data-processing agreements; Media and intellectual-property exposure from content and creative flowing through the platform.

Technology E&O + Cyber (combined form) for martech companies

The centerpiece for martech. Tech E&O responds when the platform fails and a client claims financial harm — a botched send, a deliverability failure, a mis-targeted campaign — while the cyber and privacy side funds breach response and third-party liability across consumer records held for many brands. Buying them together on one form matters because a consent failure and a data exposure are often the same event, and one carrier removes the finger-pointing. Review how the form treats privacy-regulatory claims and media and advertising injury, since content and consumer data both move through the product. Typically responds to: client claims for financial loss from platform errors, outages, or misdirected campaigns; breach response across consumer records spanning many client brands; privacy-regulatory liability and defense within the form's terms; media and advertising-injury considerations for content flowing through the platform.

Directors & Officers (D&O) for martech companies

D&O protects founders' and directors' personal assets against claims from investors, creditors, and regulators, and most institutional term sheets require it at closing. It scales with each round and is the protection that lets experienced directors serve a venture-backed martech board.

General Liability & Property (BOP) for martech companies

The layer that landlords and enterprise procurement checklists require: premises liability and the company's own equipment, usually bundled favorably for a software office. Inexpensive relative to the contracting friction it removes.

Employment Practices Liability (EPLI) for martech companies

Discrimination, harassment, wrongful-termination, and wage-and-hour claims cost money to defend even when unfounded, and exposure grows with headcount. EPLI funds that defense and is commonly bundled with D&O in a management-liability package.

Crime / Employee Dishonesty for martech companies

Insider misuse of the platform's aggregated consumer data or company funds is a real exposure, and social-engineering schemes target software companies with finance teams. Crime coverage responds to employee theft and, with the right endorsements, funds-transfer fraud where the cyber sublimit stops.

Workers' Compensation for martech companies

Legally required in the states where the company employs anyone, including single remote hires. Multi-state teams should confirm coverage tracks every state where employees actually sit.

Contract and certificate requirements

Data-processing agreements and enterprise procurement drive the requirements: Tech E&O and cyber at stated limits, commonly $1 million to $5 million; additional-insured status; breach-notification terms; sub-processor disclosures; and security attestations such as SOC 2 before the platform is connected to a brand's CRM or customer-data platform. Messaging clients add consent and anti-spam warranties and indemnities, because an improper send can generate liability that travels in both directions. These obligations often reach beyond what a generic startup policy covers, particularly the privacy-regulatory and media triggers and the breach-notification mechanics a data-processing agreement assumes. A OnePark Risk advisor reads the data-processing agreements against the current program so the policy's privacy, regulatory, and media coverage line up with the warranties the company has given — before a client's compliance team or an incident tests them.

What coverage costs

As of 2026, martech pricing turns on the data and the messaging. Carriers underwrite the volume and sensitivity of consumer information held, whether the platform sends messages on clients' behalf (which introduces consent exposure), the concentration risk of a multi-tenant model, and security posture. A pure analytics tool prices differently from a platform that both stores audiences and sends to them. Controls move terms directly: multi-factor authentication, tenant isolation, consent and opt-out handling, and tested incident response are what underwriters ask about first. For scale on why they press, IBM's Cost of a Data Breach Report 2026 put the global average cost of a breach at $4.99 million, and a multi-tenant breach spanning many brands multiplies notification and liability consequences. Cyber has also ranked consistently among the top business risks in the Allianz Risk Barometer, a trend carriers reflect in how they underwrite data-heavy platforms. Rather than quoting a single figure, a OnePark Risk advisor benchmarks the specific martech company across the carriers comfortable with consumer-data and messaging risk and shows how limits, deductibles, and the data-versus-messaging classification move the premium so the tradeoffs are visible before renewal.

AI exposure note

If the platform uses AI for targeting, content generation, personalization, or predictive scoring, disclose it and review how the Tech E&O and media terms respond. The exposures are specific: biased or discriminatory targeting, generated content that infringes intellectual property or defames, and personalization that misfires at scale. Carriers are adding both AI-specific exclusions and AI-specific affirmative coverage, so reconciling how your form treats algorithmic error is now a standard part of a martech coverage review.

Illustrative example: The consent misfire

A configuration error causes a campaign platform to send an SMS blast to a segment that had opted out. Recipients bring a class action against the brand, which turns to the platform under its indemnity, alleging the tool failed to honor opt-outs. Technology E&O and the form's privacy-regulatory terms respond to defend the platform against the indemnity claim and the underlying allegations; how the policy treats consent-based messaging liability is exactly what is reviewed at placement, given the class-action environment around improper sends.

Illustrative example: The multi-tenant breach

An attacker compromises a customer-data platform and exfiltrates consumer records spanning dozens of client brands. Each brand must be notified, and several demand the platform bear the notification and monitoring costs. The cyber side of the combined form funds forensics, counsel, and mass notification across affected brands and responds to third-party liability within its terms — the concentration of consumer data across tenants is precisely why underwriters scrutinize isolation and why limits are structured for a multi-brand event.

Illustrative example: The wrong-list send

A merge error causes one client's promotional message to go out with another client's customer data exposed inside it, revealing recipients to one another and to the wrong brand. Technology E&O responds to the clients' financial-loss and remediation claims, and the privacy side of the form addresses the exposure of consumer information — a combined form keeps the service failure and the data exposure with one carrier rather than two pointing at each other.

How much does insurance cost for a martech company?

There is no flat rate. As of 2026, pricing turns on the volume and sensitivity of consumer data held, whether the platform sends messages on clients' behalf, the multi-tenant concentration risk, security posture, revenue, and the limits data-processing agreements require. Many martech companies structure Tech E&O and cyber at $1 million to $5 million driven by enterprise-brand contracts; the right way to size premium is to benchmark the specific company across several carriers rather than rely on a single quoted number.

Are we liable for spam or consent violations if the client controls the list?

Liability can attach to both the brand and the platform depending on the facts, which is why messaging clients demand consent and anti-spam warranties and indemnities under frameworks such as the TCPA and CAN-SPAM. Technology E&O and the form's privacy-regulatory terms are what respond to those claims, and aligning the policy with the warranties you have given is a core part of structuring a martech program.

What do enterprise brands require in a data-processing agreement?

Typically Tech E&O and cyber at stated limits, additional-insured status, breach-notification terms, sub-processor disclosures, and security attestations such as SOC 2. The data-processing agreement is the checklist — bring it to your advisor before signing so the policy's privacy, regulatory, and breach-notification coverage matches what you have promised.

Does cyber cover a breach spanning many clients' consumer data?

That is exactly what the cyber and privacy side of the combined form is built for: forensics, counsel, and notification across affected brands, plus third-party liability within its terms. Because a multi-tenant breach multiplies the consequences, underwriters scrutinize tenant isolation and limits are structured for a multi-brand event.

Do we need media or advertising-injury coverage?

Often yes. Content and creative flowing through the platform can raise intellectual-property and defamation exposure, and many technology E&O and cyber forms include media and advertising-injury coverage — but the terms vary. Reviewing how your form treats these claims is part of a martech coverage review, particularly if the product generates or distributes content.

Will AI-driven targeting or content affect underwriting?

Increasingly, yes. Carriers ask how AI is used for targeting, personalization, and content generation, what human review exists, and how models are monitored — the exposures include biased targeting and generated content that infringes or defames. Answer accurately, since misdescribing AI usage surfaces in claim disputes, and confirm with your advisor how the form responds.

Can OnePark Risk align our policy with our data-processing agreements?

Yes. We compare the data-processing agreements and messaging warranties against your current policies and flag every mismatch in privacy, regulatory, and media triggers, limits, and breach-notification mechanics before a client's compliance team or an incident tests them.

Frequently asked questions