Cannabis advertisers increasingly depend on data to target the right audiences β but not all data is created equal, and the difference between first-, second-, and third-party data has real implications for both quality and compliance. This webinar features returning expert Matt to dig deeper into the data landscape and help cannabis marketing teams navigate it with more confidence.The session defines first-, second-, and third-party cannabis data, explains the quality and compliance considerations specific to each, and provides guidance on building a data strategy that holds up to scrutiny. Programmatic media buyers, marketing directors, and cannabis operators who want to use data more effectively and compliantly will find this a direct and informative guide.
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Navigating 3rd Party Data Challenges: Ensuring Quality and Compliance
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Key Insights
- - Third-party data quality in the programmatic ecosystem varies enormously between data providers, and cannabis advertisers who do not actively evaluate data provider quality, recency of collection, and methodology are likely using audience segments that include significant percentages of incorrectly classified users or outdated behavioral signals that no longer reflect current consumer intent.
- - The most important compliance question for cannabis advertisers using third-party data is whether the data was collected with consumer consent that adequately covers the use of that data for cannabis advertising targeting, because privacy regulations in key cannabis states including California impose consent and opt-out requirements that create compliance exposure for advertisers using data that was not collected or licensed with appropriate cannabis use disclosures.
- - Age verification is a non-negotiable compliance requirement in cannabis advertising, and third-party data providers used for cannabis targeting should be able to demonstrate that their audience segments are constructed to exclude users below the legal cannabis age in the target market, with the specific age threshold varying by state.
- - First-party data collected directly from website visitors, CRM contacts, and dispensary loyalty program members is increasingly more valuable than third-party data for cannabis targeting because it is based on genuine interest signals from real cannabis consumers who have already engaged with the brand, it is not subject to the same consent complexity as third-party data, and it is not degrading as browser privacy changes reduce the availability and accuracy of third-party behavioral data.
- - The transition from third-party data dependence to first-party data primacy in cannabis advertising requires intentional investment in data collection infrastructure including consent-compliant website tracking, CRM data capture, and loyalty program enrollment, but the resulting targeting precision and compliance posture are significantly superior to third-party data alternatives.
Expert Answers
[{What is third-party data and how is it used in cannabis advertising?}
Third-party data in digital advertising is audience data collected by companies other than the advertiser or the publisher, typically aggregated from browsing behavior, app usage, purchase history, location signals, and other digital activity across large networks of websites and applications. Cannabis advertisers use third-party data to build audience segments of users who exhibit behavioral signals associated with cannabis interest or cannabis consumer demographics, including users who have visited cannabis-related websites, searched for cannabis products, engaged with cannabis content, or fall within demographic profiles associated with cannabis consumption. These audience segments are activated through programmatic advertising platforms to target cannabis ad delivery toward users most likely to be cannabis consumers, improving targeting precision beyond simple geographic or demographic parameters.
{What are the biggest data quality problems in cannabis advertising?}
The biggest data quality problems in cannabis advertising include audience segment staleness, where behavioral signals used to build cannabis consumer segments are outdated and no longer reflect current consumer behavior; segment composition accuracy, where the methodology used to assign users to cannabis consumer segments produces false positives by including users who exhibit superficially similar but actually irrelevant behaviors; data duplication, where the same user appears in multiple purchased segments creating the impression of broad reach that is actually much narrower; and identity resolution accuracy, where the mapping between cookies, device IDs, and actual users is imprecise enough to significantly degrade targeting quality. Cannabis advertisers can address data quality concerns by working with data providers who offer transparency into their collection methodology, segment construction logic, and recency standards, and by using performance data to evaluate whether targeting is producing genuine cannabis consumer reach.
{What compliance risks do cannabis advertisers face when using third-party data?}
Cannabis advertisers face compliance risks from third-party data use in several dimensions. The most significant is age compliance, where using audience data that has not been validated to exclude minors creates exposure for cannabis advertising served to users below the legal age threshold. Privacy regulation compliance under CCPA and similar state laws creates risk where data was not collected with consumer consent adequate to cover cannabis advertising use. Advertising platform policy compliance creates risk where audience segments that include protected characteristic data violate the non-discrimination requirements of advertising platform terms. Cannabis advertisers can reduce compliance risk by working exclusively with data providers who explicitly represent their data as compliant with cannabis advertising requirements and who provide documentation of their age exclusion methodology, consent collection practices, and privacy regulation compliance posture.
{How can cannabis advertisers verify the quality of third-party data they are purchasing?}
Cannabis advertisers can verify third-party data quality through several approaches. Requesting data provider documentation of segment construction methodology, data recency standards, and refresh frequency provides baseline quality information. Running parallel campaigns against multiple third-party data sources and comparing engagement quality, conversion rates, and downstream purchase behavior provides empirical quality comparison. Using independent third-party audience verification services that audit data provider quality can provide objective assessment. Comparing third-party audience performance against first-party audience performance in equivalent campaign settings reveals whether the third-party data is actually identifying genuine cannabis consumers or simply reaching a broadly similar demographic that converts at lower rates.]
Webinar Highlights
00:00 - The Third-Party Data Problem in Cannabis Advertising
The session opens by framing the third-party data challenge specific to cannabis advertisers, explaining how the combination of endemic programmatic data quality issues and cannabis-specific compliance requirements creates targeting risks that cannabis advertisers need to understand and actively manage.
08:00 - How Third-Party Cannabis Audience Data Is Built and Sold
This section covers the mechanics of how third-party cannabis audience segments are constructed, including the data signals used to identify cannabis consumer audiences, how data providers aggregate and package audience segments, the licensing chain from data collection to advertiser activation, and the quality implications of different data construction methodologies.
18:00 - Compliance Requirements for Third-Party Data in Cannabis Advertising
The webinar covers the compliance obligations that govern third-party data use in cannabis advertising, including age verification requirements, state privacy law consent obligations under CCPA and related regulations, advertising platform policy requirements, and how cannabis advertisers can assess the compliance posture of data providers before activation.
26:00 - Evaluating and Selecting Quality Third-Party Data Providers
This section covers the evaluation framework for third-party data provider selection, including what questions to ask about data methodology, recency, and age compliance, how to test data quality empirically through campaign performance comparison, and what red flags indicate data providers that are unlikely to meet cannabis advertising quality and compliance standards.
34:00 - Building First-Party Data Infrastructure as a Third-Party Alternative
The session closes with the strategic case for first-party data investment in cannabis advertising, covering the first-party data sources available to cannabis operators including website data, CRM, and loyalty programs, how to build the consent-compliant collection infrastructure that captures high-quality first-party signals, and the competitive advantage that strong first-party data provides versus third-party data dependence.
Frequently Asked Questions
[ {What is the difference between first-party and third-party data for cannabis advertising?}
First-party data is information collected directly by the cannabis brand or dispensary from its own customers and website visitors through interactions the brand controls, including website analytics, CRM contact data, loyalty program enrollment, email list subscriptions, and in-store purchase history. Third-party data is information collected by other companies from consumers across the broader digital ecosystem and licensed to cannabis advertisers for targeting purposes. First-party data is generally higher quality for cannabis targeting because it represents genuine interest signals from consumers who have already engaged with the specific brand, is not subject to third-party data quality and accuracy problems, and is collected under the brand's own consent and privacy framework. Third-party data provides broader reach beyond the existing customer base but requires careful quality evaluation and compliance assessment.
{How is CCPA relevant to cannabis advertising data practices?}
The California Consumer Privacy Act is relevant to cannabis advertising because it establishes consumer rights over personal data collected from California residents, including the right to know what data is collected and how it is used, the right to opt out of data selling, and the right to delete personal data upon request. Cannabis advertisers using third-party data to target California consumers should verify that the data providers they work with have CCPA-compliant data collection and consent practices, because using data that was collected without adequate consumer disclosure creates regulatory exposure for the cannabis brand activating that data in advertising. Cannabis operators with California customers also have direct CCPA obligations for the first-party data they collect from website visitors, email subscribers, and loyalty program members that require privacy policy compliance, data subject request handling, and opt-out infrastructure.
{What should cannabis advertisers ask data providers before purchasing audience segments?}
Before purchasing third-party audience segments for cannabis advertising, cannabis advertisers should ask: How was this audience data collected and what consumer consent was obtained? What is the recency of the behavioral signals used to build this segment and how frequently is it refreshed? How do you verify that minors are excluded from segments used for cannabis advertising? What is the accuracy rate of this segment and how do you validate it? Is this data CCPA-compliant and does your compliance posture cover use for cannabis advertising specifically? Can you provide documentation of your data collection methodology and privacy compliance posture? Have these segments been used successfully by cannabis advertisers and can you share performance benchmarks? Data providers who cannot answer these questions clearly and specifically should be approached with significant caution. ]
Webinar Full Transcript
Featured Speakers

Cannabis advertisers increasingly depend on data to target the right audiences β but not all data is created equal, and the difference between first-, second-, and third-party data has real implications for both quality and compliance. This webinar features returning expert Matt to dig deeper into the data landscape and help cannabis marketing teams navigate it with more confidence. The session defines first-, second-, and third-party cannabis data, explains the quality and compliance considerations specific to each, and provides guidance on building a data strategy that holds up to scrutiny.
Related Webinars
Webinar Highlights
Defining Cannabis Third-Party Data
05:21 - 09:25: Matt Taverna, CEO of Statara Solutions, and Jake Litke, CEO of MediaJel, talk about third-party data, its creation, relevant compliance regulations, and privacy implications.
They define third-party data as information acquired from external sources. This data takes various forms, including digital audiences, mailing lists, and phone lists.
Jake provides an example of third-party data: a digital audience targeted for display advertising campaigns and accessed through a programmatic platform. He clarifies that the advertiser never takes possession of the digital audience. Instead, the advertiser pays for access to a platform that serves ads to an audience based on targeting parameters, which has fewer compliance restrictions than owning a list with personal information.
How Cannabis Marketers Can Apply Third-Party Data
16:15 - 18:28: Jake and Matt explain the most effective and legal ways to use third-party data to reach audiences for cannabis promotions.
First, they caution against buying emails and phone numbers through a third party, which is not necessarily a good practice.
Their conversation features two alternative approaches:
- Traditional Direct Mail: Utilizing third-party data for direct mail is legal in all states but subject to specific regulations prohibiting misleading or fraudulent information. Direct mail is a tried-and-true retail tactic backed by a long history of government investment in postal services and residential addresses. This approach is touted for its accuracy in reaching the intended audience, assuming the recipients will read the mail.
- Creation of Digital Audiences: Matt also introduces the concept of crafting digital audiences using third-party data, a technique employed by digital advertising agencies like MediaJel. This approach allows advertisers to access relevant data and target specific audience segments within a digital marketplace.
Geofencing: Cannabis Ad Campaigns that Leverage Third-Party Data
18:16 - 22:03: Jake and Matt outline the best targeting tactics from their experience serving millions of impressions daily. Geospatial retargeting is a practical approach where advertisers use a mobile device's historical location data to segment audiences. From this information, advertisers serve ads based on a person's visit to specific locations, such as dispensaries or retail outlets.
Jake distinguishes between geospatial targeting and geofencing. While geofencing serves ads in real-time to people within a particular location radius. On the other hand, geospatial targeting serves ads to audiences who have been to a certain location before. Then, he discusses another strategy that uses anonymized data from companies like New Frontier to target audiences who have purchased specific product categories before, such as vapes or CBD items.
Lastly, Jake shares information about demographic targeting, where MediaJel and Statara collaborate extensively. He emphasizes the challenge of understanding data sources in anonymous third-party audiences. An advertiser must understand how their data partner acquires and categorizes information. Because the advertiser never accesses the data, they can't be sure if a provider distinguishes between vague audience labels like "dog lovers'' and more specific, traceable demographic information. MediaJel collaborates with Statara because of their ability to source high-quality demographic and behavioral data.




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