Cannabis operators are sitting on first-party customer data that most don't realize they can put to work immediately β without buying expensive third-party lists or relying on platforms with cannabis restrictions. MediaJel CEO Jake Litkey explains how to leverage the data you already own to lower customer acquisition costs and improve retention at the same time.The session covers how first-party data can be activated across new customer acquisition campaigns, retention strategies, and broader marketing tactics, with a practical orientation built for dispensary operators and delivery services. Marketing teams and operators who want to make their existing customer relationships work harder for their business will find this a directly applicable and high-value guide.
The lessons, mistakes, and growth strategies behind the industryβs most recognizable brands.

You Already Own The Data! Learn How First-Party Data Lowers Customer Acquisition Costs and Increases Retention
Watch Our FREE OnDemand Webinars
Key Insights
- Cannabis dispensaries already own first-party data through their POS systems, loyalty programs, and website interactions - the gap is not in data collection but in data activation: most operators are using this data to track inventory and sales but are leaving its marketing potential entirely untouched.
- First-party data is especially valuable in cannabis's walled garden advertising environment because Google and Meta restrict the behavioral and intent signals that other industries use for targeting - owned customer data substitutes for those external signals and gives cannabis advertisers the precision targeting capability that broad demographic targeting cannot provide.
- New cannabis advertisers nearly always focus on new customer acquisition to the exclusion of retention, but reaching existing customers who have already purchased and opted into communication is significantly more cost-efficient - first-party data from POS systems and loyalty programs is the mechanism that makes retention targeting at scale possible.
- The three metrics that determine whether a cannabis marketing program is working - customer acquisition cost (CAC), lifetime value (LTV), and retention rate - are all improved when campaigns target audiences built from first-party data rather than broad interest-based segments, because first-party audiences carry genuine purchase intent signals that third-party segments cannot replicate.
- First-party data enables lookalike modeling that systematically lowers acquisition cost: by using the profile of best existing customers drawn from POS and loyalty records, cannabis advertisers can find new prospects who share the behavioral and demographic characteristics of proven buyers rather than targeting broad audiences with low conversion probability.
Webinar Highlights
00:00 β Why First-Party Data Is the Foundation of Cannabis Marketing
Jake Litkey opens with returning guest Matt Toera, co-founder and principal of Terra Solutions, a data analytics and media firm focused on targeting precision in the cannabis space. The episode frames first-party data as the single most underutilized asset cannabis operators have - not because they lack it, but because most dispensaries think about data as an operational tool for inventory and sales tracking rather than as a marketing activation asset that can drive acquisition and retention campaigns.
06:00 β Where Cannabis Dispensaries Already Have First-Party Data
Matt explains that cannabis operators are sitting on rich first-party data through sources they already use: cannabis-specific POS software captures a record of every transaction and the customer behind it, loyalty programs capture opt-in consumer information with explicit communication consent, and website interactions generate behavioral signals around product interest and browsing patterns. The point is that the data exists - the gap is in connecting it to marketing activation and using it to target real audiences rather than demographic proxies.
12:00 β The Walled Garden Problem and Why Owned Data Fills the Gap
The conversation addresses cannabis's unique advertising constraint: the industry operates in a walled garden where Google and Meta restrict the behavioral and intent signals that form the backbone of targeting in other consumer categories. Matt explains that this makes first-party data proportionally more valuable in cannabis than in most other industries - because when external platform data is not available, owned customer data is the only source of real purchase intent signals that can inform programmatic targeting decisions.
18:00 β Flying Blind: What Cannabis Advertising Looks Like Without First-Party Data
Jake describes what cannabis advertising looks like without first-party data activation - "flying blind" - where campaigns run against broad demographic or interest-based segments with no real signal of purchase intent. The core metrics suffer: customer acquisition cost is high because the targeting is imprecise, LTV is difficult to measure because there is no link between the advertising activity and actual purchase records, and retention is impossible to target deliberately because there is no data infrastructure connecting advertising to existing customer profiles.
24:00 β Why Retention Is More Cost-Efficient Than Acquisition
One of the central arguments in the episode is that cannabis advertisers significantly underinvest in retention relative to acquisition. Jake explains that the typical pattern when a cannabis brand starts running advertising is to focus almost entirely on new customer acquisition - running campaigns to reach new audiences and drive first visits. But existing customers who have already purchased and opted into brand communication are a much easier and cheaper audience to reach and convert than cold prospects. First-party data is what makes it possible to target these existing customers systematically at scale.
30:00 β Using First-Party Data to Lower Customer Acquisition Cost
The episode closes on the forward-looking application of first-party data: lookalike modeling. By building audience profiles from the best existing customers in POS and loyalty data - highest purchase frequency, highest LTV, most consistent engagement - cannabis advertisers can find new prospects who share those characteristics through programmatic targeting. This systematically lowers CAC over time because campaigns are reaching audiences with genuine purchase likelihood rather than broad segments built on demographic or interest approximations.
Frequently Asked Questions
[ {What is first-party data for cannabis dispensaries?}
First-party data for cannabis dispensaries is customer information collected directly through the dispensary's own systems and consumer interactions. This includes purchase history captured through POS software, consumer profiles and contact information collected through loyalty programs, and behavioral data from website visits and engagement. First-party data is distinct from third-party data because it comes from actual customers who have had a direct relationship with the business - which makes it more accurate, more compliant with data privacy expectations, and more directly relevant to marketing targeting decisions than externally purchased audience segments.
{Why is first-party data especially important for cannabis marketing?}
First-party data is especially important for cannabis marketing because the industry operates in a walled garden advertising environment where Google and Meta restrict the behavioral and intent signals that other consumer categories rely on for digital targeting. Cannabis advertisers cannot access the same platform-level audience data that non-cannabis brands use to build targeting segments, which makes owned customer data the primary source of genuine purchase intent signals available for campaign targeting. Dispensaries that activate their first-party data gain a targeting precision advantage that competitors relying on broad demographic targeting cannot match.
{How can cannabis dispensaries use POS data for marketing?}
Cannabis dispensaries can use POS data for marketing by extracting customer purchase records and building audience segments based on actual buying behavior - product preferences, purchase frequency, average transaction size, and recency of last visit. These segments can be used to build retargeting audiences for existing customers, identify lapsed customers for win-back campaigns, find highest-LTV customers to model lookalike audiences for acquisition, and personalize promotions based on individual product history. The key step is connecting POS records to a marketing activation platform so the data moves from operational reporting into targeted campaign execution.
{What is the difference between customer acquisition and retention in cannabis advertising?}
Customer acquisition in cannabis advertising means reaching new consumers who have not previously purchased from the dispensary and converting them to first-time buyers. Retention means reaching existing customers who have already purchased and encouraging repeat visits and continued loyalty. Retention is typically more cost-efficient than acquisition because existing customers have already demonstrated purchase intent, have a relationship with the brand, and in many cases have opted into direct communication through loyalty programs. Cannabis advertisers who balance acquisition and retention spending - using first-party data to target both audiences precisely - achieve better overall marketing efficiency than those focused exclusively on new customer growth.
{What is lookalike modeling and how does it work for cannabis brands?}
Lookalike modeling is a targeting technique that uses the profile of existing best customers to find new prospects with similar characteristics. For cannabis brands, it works by building an audience profile from high-value customers identified in POS and loyalty data - customers with the highest purchase frequency, largest average transaction, or longest tenure with the brand - and then using programmatic advertising platforms to identify and target new consumers who share those behavioral and demographic signals. The result is an acquisition campaign that reaches audiences with higher baseline purchase probability than broad demographic targeting, which systematically lowers customer acquisition cost over time. ]
Cannabis Podcast Full Transcript
Featured Speakers

Cannabis operators are sitting on first-party customer data that most don't realize they can put to work immediately β without buying expensive third-party lists or relying on platforms with cannabis restrictions. MediaJel CEO Jake Litkey explains how to leverage the data you already own to lower customer acquisition costs and improve retention at the same time. The session covers how first-party data can be activated across new customer acquisition campaigns, retention strategies, and broader marketing tactics, with a practical orientation built for dispensary operators and delivery services.
Related Cannabis Podcast
Webinar Highlights
The Importance of First-Party Data in Cannabis Marketing
3:25 - 7:28 - Matt highlights the importance of first-party data in the cannabis industry, sourced from point-of-sale systems, loyalty programs, and website sign-ups. Customer data reveals patterns like purchasing habits, product preferences, and timing trends. Cannabis-specific software and enriched third-party data provide deeper insights, helping businesses understand inventory movement and refine strategies.
β
Leveraging Customer Demographics for Targeted Advertising
8:13 - 10:58 - Jake discusses analyzing customer demographics is crucial for successful advertising campaigns. By categorizing customers, businesses can tailor their marketing strategies and significantly improve engagement and sales performance.
β
Enhancing Customer Engagement Through Technology and Loyalty Programs
36:12 - 39:49 Utilizing technology, such as coupon apps, can streamline discount processes and enhance customer engagement. This method allows for better data collection and analysis of consumer behavior. Creating a loyalty program linked to customer data can improve sales strategies. It empowers budtenders to guide customers toward products that match their preferences and current promotions.
β




.jpg)



