Datafy Pricing: What DMOs Actually Need to Know
Datafy does not publish pricing publicly. Its pricing page says exactly what you might expect: custom solutions built around your goals, budget, and the level of analytics or advertising support you need, with no surprise fees.
That framing reflects how Datafy actually works. It is not a pure data platform with tiered subscription options. It is an integrated analytics, advertising, and attribution company, and the pricing reflects what you are engaging with: something closer to a managed service partnership than a self-serve SaaS subscription.
This article covers what is publicly known about how Datafy prices its services, what distinguishes it from competitors, what is included in a typical engagement, and how to think about whether it fits your organization.
What Makes Datafy Different from Pure Data Platforms
Before getting into pricing, it is worth understanding what Datafy is, because it is different from Zartico, Arrivalist, or Placer.ai.
Zartico, Arrivalist, and Placer are primarily data and analytics platforms. They help you understand who is visiting your destination, where they come from, and how your marketing is performing. You bring your own media and advertising strategy separately.
Datafy combines all three in one place: analytics, advertising, and attribution. It operates its own demand-side platform (DSP), meaning it can tell you who your visitors are and where they come from, build audiences from that behavioral data, run targeted ad campaigns to those audiences across digital channels, and then measure whether the people who saw the ads actually showed up at your destination. That full-circle capability is Datafy's core positioning and what separates it most clearly from its peers.
Datafy owns its technology stack rather than aggregating data from third parties. The team includes in-house data scientists and analysts who work directly with clients, with no intermediaries between the data and the people using it.
Founded in 2021 as a standalone company after being spun out of an economic development consultancy, Datafy was built to be more accessible than the existing solutions DMOs had at the time, which its founders described as "slow, cumbersome and often prohibitively expensive."
How Datafy Prices Its Services
Because Datafy combines analytics, media buying, and attribution, its pricing structure is more variable than a straight data subscription. There are essentially two ways organizations engage with it:
Analytics only. Some clients use Datafy primarily for its data analytics capabilities: visitor intelligence, geolocation insights, behavioral audience profiles, and spending data, without running advertising through the platform. This looks closer to a traditional data platform subscription.
Full-circle: analytics plus advertising plus attribution. Other clients use the complete package. Datafy builds and targets behavioral audiences, runs campaigns through its owned DSP, and then measures attribution by matching ad-exposed audiences against actual in-market visits. In this model, the pricing reflects both the platform access and the media spend managed through the DSP.
Because advertising budgets vary enormously by destination size, the cost of a full-circle engagement scales accordingly. A large state-level DMO running significant digital advertising through Datafy's DSP will pay more than a smaller regional destination using it primarily for analytics.
No public pricing benchmarks exist for Datafy the way they do for Zartico's state programs or the Mississippi co-op figures for Arrivalist. The company is smaller and earlier-stage than those platforms, and no third-party reviews contain verified rate information. The engagement model is genuinely custom.
What Is Included in a Datafy Engagement
Datafy organizes its offering around three core capabilities:
Analytics. Datafy's data platform pulls from geolocation, spending, and behavioral data to give destinations insights into visitor profiles, origin markets, in-market behavior, and trends over time. The platform is designed for DMO workflows, with dashboards built around the questions destinations actually ask: who is visiting, where are they coming from, what are they doing in-market, and how is that changing over time.
One thing Datafy is specific about: geolocation data is useful for understanding visitor behavior and demographics, uncovering trends, and tracking growth rates, but it is not a reliable footfall counter, particularly for smaller points of interest. The platform is transparent about this distinction, which is a more honest position than some competitors take.
Advertising. Datafy's owned DSP allows clients to activate behavioral audiences and serve ad campaigns across digital channels directly through the platform. The audience source is real-world behavioral data: people who have been to National Parks, attended sporting events, or traveled to similar destinations. These audiences are targeted directly, without an intermediary buying the media on your behalf.
Attribution. Datafy's attribution solution matches people who were exposed to advertising with people who subsequently showed up in a destination. This is the platform's most important measurement capability and the one Datafy consistently leads with in stakeholder conversations. It distinguishes between indirect indicators (impressions, clicks) and direct indicators (verified in-market visits, ROAS), positioning the latter as the metrics that hold up when defending a marketing budget to a board or city council.
All three capabilities are available through a single platform rather than requiring clients to stitch together multiple vendors.
Who Datafy Is Built For
Datafy describes its pricing as built for a wide range of organization types: bustling cities, state-wide DMOs, historic downtowns, and retail partners. Unlike Zartico, which primarily serves larger DMO budgets and has grown to 400+ destinations, Datafy was founded with accessibility as a stated goal and designed to serve smaller and mid-size organizations that found existing solutions out of reach.
The full-circle model is most compelling for DMOs that want to run digital advertising through a single integrated system rather than managing analytics with one vendor and media buying with another. The value is strongest when all three components are used together, because the attribution only closes the loop if Datafy is also running or tracking the advertising.
DMOs that already have strong agency relationships managing their media buying, or that use a separate DSP they are committed to, may find that Datafy's analytics-only offering overlaps with what Zartico or Arrivalist already provides, without the integration advantage.
No Free Trial, No Freemium Access
Datafy does not offer a free trial or self-service access. Evaluation happens through a demo and consultation with their team. Given the custom nature of the engagements, this is not surprising — the platform is not designed to be self-serve in the way Placer.ai's freemium tier is.
The consultation-first model does mean that evaluation requires a sales conversation before you have a clear sense of what you would pay. Coming into that conversation with clarity on your destination's size, your current analytics and advertising setup, and what specific questions you are trying to answer will help Datafy propose the right scope.
How to Approach the Conversation
Clarify what you actually need before the demo. If your primary need is visitor intelligence data — origin markets, behavioral profiles, trend analysis — be specific about that. If you want to run advertising through the platform as well, be clear about your typical digital advertising budget. Datafy's pricing will reflect the scope of engagement, so the more specific you are, the more accurate the proposal.
Ask about the analytics-only option explicitly. If you already have media buying relationships you want to keep, ask Datafy directly whether the analytics platform is available without running advertising through their DSP, and what that looks like in terms of pricing and scope.
Ask how attribution is measured. Datafy's attribution methodology, matching ad-exposed audiences to in-market visits, is the core value proposition. Understanding how they define an in-market visit, what the confidence interval looks like, and how they handle locals versus visitors is important for evaluating whether the attribution data will hold up to stakeholder scrutiny.
Ask about team involvement. Datafy positions itself as working directly with clients as an extension of their team, with no outsourcing. Understanding how much of the work is done for you versus requiring your team's involvement helps set realistic expectations for the engagement.
Is Datafy Worth It?
The value case is strongest for DMOs that want analytics and advertising managed through one integrated system, want to close the attribution loop between ad exposure and actual in-market visits, and do not have the internal infrastructure to manage those pieces separately.
It is harder to justify if you are primarily looking for a visitor intelligence platform without advertising integration, if your media buying is already well managed through an agency relationship, or if your budget is tight and a full-service engagement is out of reach.
Compared to Zartico and Arrivalist, Datafy's differentiator is not the depth of its data model but the combination of analytics with an owned DSP and attribution in a single platform. That integration is either compelling or redundant depending on how your organization's marketing stack is currently set up.
The Question Datafy Does Not Answer
Datafy closes the loop between digital advertising and in-market visits. What it does not measure is what happens before a traveler encounters your advertising, when they ask ChatGPT or Perplexity where to go for a long weekend and your destination either shows up in that answer or does not.
AI search is becoming a primary channel for travel discovery, and the destinations appearing in those answers are capturing visitors at the consideration stage that precedes any advertising exposure. No current visitor intelligence platform measures this, including Datafy.
NextTown AI is built to fill that gap, monitoring how AI platforms represent your destination, tracking sentiment alongside visibility, and building the content strategy needed to appear in AI-generated travel recommendations.
For DMOs thinking about the full funnel from first consideration to verified visit, Datafy and NextTown AI answer different questions at different stages of that journey.
NextTown AI helps destination marketers monitor and improve their visibility across AI search platforms including ChatGPT, Perplexity, and Google AI Overviews. Get a free AI visibility snapshot for your destination.
