MedMen.com

Destigmatizing cannabis with elevated customer experience. How MedMen became the first cannabis company to launch an omni-channel ecommerce platform.

Company
MedMen
Platform
React
Contributions
Product Design
Design Strategy
Design Direction

Overview

In 2018, MedMen was quickly rising to fame as the premiere cannabis retailer in California, with an ambitious expansion plan to establish market dominance in five additional states. Having recently gone public on the Canadian Stock Exchange, the company was investing aggressively in building out the teams and technology needed to support its growing, intra-state retail portfolio.

At that time MedMen’s online presence was limited to a marketing splash page outlining the company’s mission to de-stigmatize cannabis by offering an accessible and welcoming shopping environment. The company has already been extremely successful in creating an elevated retail experience dubbed the Apple Store of weed. One of the primary objectives of the newly established product and engineering team was to establish a comparable ecommerce experience in order to increase awareness and reach, deepen the customer relationship, and generate new revenue streams.

Problem Statement

Destigmatize cannabis by making high-quality products accessible to all through an elevated online experience, so that customers can become more educated, and discover products they love.

Outcome

By the time I departed from MedMen in January 2022, we had grown Medmen.com into a mature ecommerce platform with pickup and delivery channels, a loyalty and rewards program, and fully integrated inventory and product data. At that time, MedMen.com served recreational and medical customers across 7 states and 29 retail locations.

While those who are familiar with the MedMen story are well aware of the ultimate failures of the business model, the time I spent there was among the most fulfilling years in my career. I was privileged to work alongside an incredibly talented team who worked diligently to deliver incremental value to customers and to the business. I experienced significant professional growth during my time there, beginning as an individual contributor, and ultimately being promoted to Director of UX. In this role, I interfaced with stakeholders regularly, contributed to the overarching product strategy and roadmap, and managed a team of designers.

While it would be challenging (and likely a tedious read) to document my entire 4 1/2 year tenure at MedMen, this case study highlights key product features and their impact at various points throughout the evolution of MedMen.com.

Impact

3.5%
Conversion rate for online orders
20%
Total revenue from online orders
160
days
Conception to launch of delivery
60%
Opt-in rate for loyalty program

Product Discovery

Challenge

In order to help customers discover the cannabis products best suited to their needs, we needed to gain insight into how MedMen customers make purchase decisions, and how those decision points relate back to product attributes.

A MedMen retail employee assists customers at the Abbot Kinney store location.
A MedMen retail employee assists customers at the Abbot Kinney store location.

Methodology

In addition to conducting in-store visits, in which members of the product team interfaced directly with customers, we conducted extensive subject matter expert interviews with MedMen retail employees to gain a deeper understanding of our customers and products. Our research activities surfaced several key insights:

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The majority of customers have a preferred method of consumption, and tend to shop within the same product category.
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The product attributes customers value are unique by product category.
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Brand loyalty is huge.

When we compared our customers’ categorization of products and the factors that influence purchase decisions against our product data in Microsoft NAV, we began to see some discrepancies:

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Counter intuitive categorizations
Example: tincture categorized as an edible as opposed to a concentrate
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Confusing lab test results
Example: The information that a tin of gummies is 0.012% THC is not valuable to the customer - the fact that each gummy contains 5mg of THC is.
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Lack of product variants
Example: products that come in multiple sizes were not linked to one another, preventing customers from comparing value by size

We surfaced our findings with the ERP team and worked together to recategorize products, introduce variants, and add missing product attributes. Additionally, we coordinated with the frontend development team to apply conversions and rounding in order to display test results intuitively.

Product Details

The product detail page guides the purchase decision by surfacing the product attributes customers value. It also presents the opportunity to cross-sell based on our knowledge of the customer. For example, because MedMen customers are loyal to both product category and brand, it makes sense to merchandise the PDP page with other products within the same category and brand.

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The mobile PDP utilizes progressive disclosure to display key product attributes including stain information and cannabinoid and terpene test results. As the page is scrolled, the product name, price, and CTA dock to the bottom of the screen to maintain context and allow the user to add the item to their bag at any time.
The desktop PDP displays product information in a common two-column scrolling design pattern, with full-width product recommendation carousels at the bottom of the page.
Product detail page for statemade pre-rolls on a laptop and mobile device.
Products with size variants are displayed on a single PDP, where the user can navigate between size options to compare price and cannabinoid content.

Visualizing Product Test Results

Our user research revealed that while test results are an important factor in decision-making, the relevant unit of measurement varies by product category. For example, customer shopping for flower or vaporizers are interested in learning about cannabinoid content as a percentage of the product's total mass, while those shopping for edibles, concentrates, and topicals only care to know the total milligrams of cannabinoids a product contains.

The raw product data did not always match the expected unit of measurement, so we worked with the front-end development team to perform automatic unit calculations and serving size calculations where relevant.

Cannabinoid table showing cannabinoid content per serving of a gummy.
Example of cannabinoid test results for gummies, which have been converted to milligrams, and provides users with the option to view cannabinoid content per package or per serving.

At the time of our user research, there had been a number of studies evaluating the physiological and psychological effects of the different botanical terpenes present in cannabis. Our most advanced customers were already using terpene profile as a way to predict a products' effects, and inform purchase decisions. For the majority of customers however, the concept was fairly new. In addition to displaying a products' 3 dominant terpenes, we included context and education about the different effects of each. Building on the heuristic match between the system and the real world, we commissioned an artist to create illustrations representing each terpene.

Illustration of cinnamon sticks.
Caryophyllene
Anti-Anxiety
Anti-Inflammatory
Withdrawal Relief
Illustration of a eucalyptus branch.
Eucalyptol
Anti-Inflammatory
Antioxidant
Antibiotic
Illustration of hopps.
Humulene
Antioxidant
Anti-Inflammatory
Antiproliferative
Illustration of three lemons.
Limonene
Anti-Anxiety
Anti-Depressant
Anti-Depressant
Illustration of two sprigs of lavender.
Linalool
Sedative
Anti-Inflammatory
Anesthetic
Illustration of three mangos.
Myrcene
Anti-inflammatory
Euphoric
Analgesic
Illustration of pink orchids.
Ocimene
Anti-Viral
Anti-Inflammatory
Anti-Fungal
Illustration of a sprig of pine with pine cone.
Pinene
Anti-Anxiety
Memory Retention
Asthma Relief
Illustration of lilac flowers.
Terpineol
Sedative
Pain Relief
Antibiotic
Illustration of three apples.
Terpinolene
Antibiotic
Anti- Fungal
Antioxidant

Online Order Platform

Geolocation & Order Initiation

Challenge

MedMen’s product offering varies by both state and store location. Due to this sometimes significant variance in inventory, it is critical that users enter a shopping experience appropriate to their location and preferred order method. Our implementation of online ordering pre-dated the development of a global inventory strategy and shopping cart transfer feature. At that time, the cost of funneling users to the wrong store location was severe. At best, the user experienced a high degree of friction re-creating their order at the correct store location. At worst, they abandoned the order completely, never to return.

To complicate matters, cannabis retailers are legally required to collect age verification upfront. Our data showed that we were facing about 10% drop-off on the age gate alone (we were able to reduce this to 8% after a number of optimizations). We were extremely wary of further increasing the barrier to entry with additional user tasks such as location verification or store selection.

Solution

We developed a geolocation and order initiation feature with several goals in mind:

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Lower the barrier to entry by exposing users to relevant products directly from the homepage
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Provide increasing levels of education about store location and ordering options along the user journey
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Spare users from the potential friction of building orders with the incorrect order intent or store location.

How it Works

1
IP Detection

Use IP to determine the user’s zip code, and default to the regional home store.

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IP address determines which state-specific version of the homepage the user lands on, as well which store inventory is displayed. In this case, the California homepage is displayed, with store location set to DTLA.
2
Progressive Investment

Initiate the homepage experience in browse mode, and encourage users to specify order intent (pickup or delivery) when they navigate deeper into the shopping experience.

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Users are exposed to store-specific inventory directly from the homepage, and prompted to start a pickup or delivery order once they navigate to a product listing page. This puts users in touch with relevant products right away, while discouraging them from over-investing in a shopping experience without confirming order intent.
3
Explicit Intent

Require users to confirm order intent if they attempt to add an item to their shopping bag in browse mode.

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Users must explicitly initiate a pickup or delivery order before items can be added to the shopping bag. This prevents users from building orders in the wrong store location and abandoning.
4
Global Entry Point

Provide users with a global entry point to update order intent and pickup store location

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Users can update their location, order intent, and access a list/map store finder during any point in the experience.
5
Meaningful Alternatives

When a user’s preferred order intent is unavailable, offer alternatives.

If delivery is unavailable to a particular address, users are encouraged to start a pickup order.White generic mobile phone frame.
When a store is temporarily closed, users are suggested other nearby stores.White generic mobile phone frame.
When delivery is unavailable, users are encouraged to start a pickup order. When a pickup store is closed, users are encouraged to find a store nearby.

Checkout

Challenge

The initial implementation of online order checkout averaged a 2.5% conversion rate, which was promising in light of the legal and compliance constraints. Guest checkout, which is well documented to increase ecommerce conversion rate, is prohibited in regulated industries such as cannabis and alcohol. Furthermore, cannabis retailers are legally required to collect legal name, birth date, and ID number at registration, requiring more time and focus from users compared to other account creation experiences. Analysis of funnel and behavioral analytics, as well as security reports revealed a few key opportunities for improvement:

Users who interacted with the delivery address field at checkout were nearly 2X as likely to abandon checkout
Users who attempted to update order type from in-store pickup to delivery at the time of checkout almost always abandoned.
Incorrectly entered PII (either by user error, intentionally, or due to customers using nicknames) was one of the leading causes of order cancellation.
Delivery orders with a value over $100 were significantly more likely to pose fraud/security risks.
Screenshot of original checkout page design with annotations.
Checkout audit

Solution

After a series of iterations and A/B testing, we optimized the checkout experience to minimize high-risk exit points and streamline the user flow through registration and checkout.

Checkout screen shown on laptop and mobile device.
Checkout redesign on desktop and mobile

Additionally, we introduced name and birthdate verification as a modal task, creating a small degree of intentional friction in order to reduce order cancellations. Lastly, we introduced “delivery threshold” as a configurable order value, which if exceeded would trigger an inline component prompting the user to upload a photo of their ID.

Delivery order user flow.
Revised delivery flow with order value threshold (1) and first-time user name and birthdate confirmation modal (2).
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First-time customer delivery checkout with identity verification modal.

Impact

The geolocation & order initiation feature and checkout optimizations were complimentary initiatives which can be attributed to an increase in average conversion rate from 2.5% to 3.5%. Guiding users through order type and pickup store decisions earlier in the shopping experience reduced the need for modifications at checkout, enabling us to create a more focused flow and prioritize user tasks that reduce risk and ensure orders can be completed successfully at the point of pickup or delivery.

1%
Increase in online conversion rate
3.5%
Total conversion rate for online orders
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Reduction in delivery-related security incidents
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Reduction in failed delivery orders attributed to ID mismatch

Loyalty & Retention

MedMen Buds Rewards

Challenge

On average, cannabis dispensary customers are made up of 60% first-time visitors and 40% returning customers1. Compared to first-timers, regular customers represent significantly higher value2:

Return on average every
3
Weeks
Spend on average of
$130
/order
Are loyal for an average of
3
Years
Averaging a lifetime spend of
$7,000
  1. Zenreach Walk-thru Data, 2019
  2. What is the Lifetime Value of a Retail Customer of Cannabis? Happy Cabbage

MedMen sales and customer data revealed that MedMen stores saw a similar 60/40 split of new versus returning customers, with an even higher return visit frequency of once every 7.8 days. Furthermore, the data revealed that after the third store visit, customers are very likely to become regulars, with dropoff rates much lower compared to the first and second visit. In response, the MedMen Marketing team evaluated a number of customer retention tactics, and identified substantial opportunity in rolling out a branded customer loyalty program.

Problem Statement

Build trust and loyalty in the MedMen brand by creating an exclusive experience customers value above competitors in order to increase customer retention and drive sales revenue.

Solution

The product team partnered with marketing to gather requirements and evaluate potential solutions and platforms, ultimately aligning on Clutch as our CRM and loyalty platform of choice. Existing customer data was migrated to Clutch, which we then integrated with MedMen.com and the Point of Sale System via API.

In order to drive opt-ins, we designed a number of entry points:

1
Homepage enrollment landing page

We merchandised the secondary homepage tile to promote the launch of the rewards program and drive traffic to the enrollment landing page.

2
Marketing email enrollment landing page

Existing customers who were already subscribed to marketing emails were targeted with an email blast inviting them to enroll in MedMen Buds and start earning points on every order.

Three screens showing the entry points to enroll in rewards:

1) homepage secondary carousel links to rewards landing page
2)Marketing email links to rewards landing page
2)Rewards landing page with "Join Now" button
3
Enrollment

New customers are given the option to sign up for rewards as part of account creation.

4
Account

Existing customers can sign up for MedMen Buds from the rewards section inside account.

two screens showing
1) Sign up to earn rewards checkbox on the create account screen
2)Join Today component in the rewards tab of account
5
Shopping Bag

Users who are signed in, but not already enrolled in rewards are given the opportunity to enroll from the shopping bag, with the context that they can begin earning points for their current purchase.

6
Online Checkout

The shopping bag enrollment component persists to the checkout page, either retaining the user’s opt-in, or providing a final opportunity to enroll before checkout.

Two screens showing:
1) Sign up to earn rewards checkbox in the shopping bag
2) Sign up to earn rewards checkbox on the checkout screen.
Incentive Structure

The finance and marketing teams aligned on a point-based model in which customers earn 1 point for every $1 spend, and receive a $5 discount every 200 points. We optimized  the user experience to create clarity and transparency around the rewards model, and incentivize users to spend more.

Icon of a dollar bill with cannabis leaf.
Earn

Get rewarded with points each time you shop.

Icon of a MedMen shopping bag.
Burn

Cash in your points on your favorite products.

Icon of a present with bow.
Extras

Get special offers and early access to exclusive sales.

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At the account level, users have visibility into their rewards point balance, available rewards, and rewards transaction history.

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At checkout, users get feedback about how many rewards points they will earn for the order, and have the opportunity to apply rewards dollars and other promotions to their order.

Pain Points

One of the main pain points we faced early on was a proliferation in duplicate profiles due to customers opting in with two or more different email addresses, or opting in in-store prior to creating an online profile. The end result for the customers was missing points or rewards points fragmented across accounts. Shortly after the initial rollout of rewards, we released a self-service tool for customers to merge profiles, as well as automated matching based on ID at checkout.

Image of the rewards tab in account with "where are my points?" self-service profile consolidation tool.White generic mobile phone frame.

Self-service rewards account consolidation.

User flow of the rewards enrollment process.

Automated rewards profile matching flow based on ID verification.

Enhancements

After the initial feature set, we released two enhancements to create more value for the customer, leverage the psychological appeal of exclusivity, and extend our reach through social validation.

1
Buds exclusive promotions
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Promotions, including those exclusive to Buds only are promoted from the menu landing state.

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Users who are not enrolled in rewards have the opportunity to sign up from the shopping bag, or at checkout in order to see the exclusive discount applied.

2
Refer a friend
Refer a friend to rewards and earn points screen.White generic mobile phone frame.
Enroll in rewards referral email notification.White generic mobile phone frame.

Rewards customers are incentivized with a 10% off coupon for every referral sent, and 100 points for every successful signup. Sign up attribution is tracked in Clutch via unique referral urls.

SMS Marketing

MedMen relied primarily on OOH and email marketing prior to 2020, when the state of California lifted restrictions previously prohibiting cannabis companies from SMS marketing. Marketing stakeholders did not hesitate to capitalize on the opportunity, citing the many benefits of SMS marketing compared to email:

Email
SMS
Open Rate
20%
80%
Click-through
2.5%
2.5%
Response Time
90
s
90
min
Source: Layerise
Incentive Structure

In order to continue the momentum of the rewards program while also driving SMS opt-ins, the marketing team aligned on a $5 rewards bonus for customers who opt in to SMS and MedMen Buds. Existing loyalty customers simply needed to opt-in to SMS in order to receive the $5 bonus, whereas customers who were not already MedMen Buds would need to opt in to SMS and sign up for rewards.

Challenges

Due to the double requirement, we needed to collect different data from users depending on their rewards status. We set the logic so that known rewards members need only provide the bare minimum required to opt-in (phone number and legal consent), while non-rewards or anonymous users must provide phone number and legal consent and are routed to the sign in/sign up page to enroll in rewards if they have not yet done so.

Three screens visualizing the SMS enrollment process
1. Existing rewards customer - this user is either logged in, or navigated to the landing page from a marketing email via a unique url attributed to their customer ID.
2. Logged out customer - this user is presented additional optional fields (which will be passed though to their profile) and directed sign in/ sign up and join MedMen Buds if they have not yet done so.
User flow visualizing the SMS enrollment process.
Enrollment and data collection user flow
Driving Opt-Ins

We created 5 different opt-in opportunities in order to reach users at various points in the customer journey.

Three screens showing the SMS enrollment touchpoints:
1. Homepage to landing page
2. Marketing email to landing page
3. Enrollment landing page
1. Homepage to landing page
2. Marketing email to landing page
SMS enrollment menu widget.
3. Menu widget - default state at left, open state at right.
Screens showing more SMS enrollment touch points:
4. Global footer
5. Exit pop
4. Global footer
5. Exit pop

Impact

The combined impact of rewards and SMS marketing resulted in:

60%
Opt-in rate to rewards
82%
Of MedMen Buds opted in to SMS
90%
Open rate for SMS communications
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Overall increase in returning customers