As certified Salesforce admins, we offer complete Salesforce implementation services tailored to modern companies looking to get the most from their CRM investment. Optimize Your Business Through Salesforce CRM Intelligence As certified Salesforce admins, we offer complete Salesforce implementation services tailored to modern companies looking to get the most from their CRM investment. Our decade of Salesforce migrations equips us to handle every challenge. Salesforce Integration We reduce Salesforce CRM integration problems by seamlessly connecting data flows across your martech stack. Solutions also overcome costly data migration issues via our organizing methodologies accurately transferring information into the new architecture. Bespoke Salesforce CRM Roadmaps Our certified admins develop plans for first-time CRM implementation and existing Salesforce optimization. We clarify desired outcomes, pain points and potential for the project. These insights help us to align with your team, your desired business outcomes and shape robust solutions. Execute Flawless Salesforce Deployments Regardless of where you are on the journey, our admins handle everything from intricate configuration, fine tuning workflow automation to thorough long-term adjustments ensuring maximum value. When transitioning from legacy CRM or databases, our team smoothly migrates your historical data into Salesforce confirming information accuracy. We identify and integrate data trapped in siloed systems to ensure continuity of institutional knowledge. Achieve Operational Excellence Powered by Salesforce CRM Insights

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Table of Contents Alternative Strategies: Embracing Predictive and Expansion Audiences Using Predictive Audiences for LinkedIn Campaigns Using Audience Expansion for LinkedIn Campaigns Navigating the Shift in LinkedIn targeting: Practical Insights for Marketers Looking Ahead with LinkedIn's Advertising Innovations Best practices for LinkedIn's Predictive Audiences Best practices using LinkedIn Audience Expansion LinkedIn phased out its lookalike audience feature by February 29, 2024. As a result, marketers will no longer have the ability to forge new lookalike audiences or modify existing ones, which will transition into a non-updatable, static format. Despite this, campaigns actively utilizing lookalike audiences will persist in targeting the unchanging audience pool. Alternative Strategies: Embracing Predictive and Expansion Audiences In lieu of lookalike audiences, LinkedIn champions two innovative targeting solutions: Predictive Audiences and Audience Expansion . These methods are designed to scale your reach and pinpoint potential customers with a higher propensity for conversion. Navigating the Transition from Lookalike Audiences on LinkedIn The phase-out of lookalike audiences on LinkedIn marks a pivotal moment for advertisers. To ensure your campaigns remain effective, it's essential to proactively adapt your strategy. Here’s a comprehensive guide to smoothly transition to new targeting methods. Key Transition Points Understand the Timeline:  You have a 30-day period where your existing lookalike audiences remain active before they are archived. Use this time wisely to prepare alternate strategies. Adapting to API Modifications:  Changes to LinkedIn's API impact the creation of lookalike audiences, especially through third-party tools. Marketers need to realign their approach, especially if they previously relied heavily on these integrations. Revamp Your Campaign Strategies:  As you transition, consider adopting predictive audiences or enabling audience expansion. Both options provide dynamic alternatives to engage your target market effectively. Steps for a Smooth Transition Clarify Your Objectives:  Begin by revisiting your advertising goals. This clarity will guide your choice of new targeting options that align with your desired outcomes. Implement Gradually:  Avoid overhauling all at once. Instead, initiate with small-scale tests of new targeting features. As you gather insights and achieve desired results, gradually increase their utilization. Monitor Performance Closely:  Regular tracking is critical. Analyzing which strategies yield the best results will enable you to channel your budget into the most effective solutions. Diversify Your Targeting Pool:  Don’t limit yourself to a single targeting option. Diversify to reach a broader audience and enhance your reach. Keep Data Current:  Regularly update your audience information. This practice ensures that your targeting remains accurate and effective. Exercise Patience and Persistence:  Evaluating and optimizing new targeting methods takes time. Maintain patience and stay committed to refining your strategy for the best outcomes. By incorporating these strategies, you can successfully transition from lookalike audiences to innovative targeting methods on LinkedIn. Your advertising efforts will remain robust, and your audience engagement will continue on a strong trajectory. Understanding the Distinction: Predictive vs. Lookalike Audiences on LinkedIn When it comes to expanding your reach on LinkedIn, there are two key strategies: predictive and lookalike audiences. Though they both aim to broaden your audience, they utilize different methods and data. Lookalike Audiences (Discontinued) Lookalike audiences were based on historical data. This approach focused on identifying new users who shared characteristics with your existing customer base. The algorithm considered factors like demographics, interests, and professional backgrounds to find individuals similar to your current audience. However, this method was limited by its reliance on past data, which risked overlooking emerging potential customers with evolving behaviors. Lookalike audiences have since been replaced by newer solutions. Predictive Audiences In contrast, predictive audiences leverage sophisticated machine learning algorithms to analyze your campaign data—such as conversions and leads. This strategy doesn't just replicate your existing audience but predicts which users are likely to engage or convert in the future. By considering potential future behaviors, predictive audiences aim to reach high-intent users who might otherwise be missed by traditional lookalike methods. However, the accuracy of these predictions hinges on having ample data to inform the machine learning models. While lookalike audiences sought users resembling your current customers, predictive audiences seek users with the potential to engage in future actions, guided by analytics and machine learning. Using Predictive Audiences for LinkedIn Campaigns This approach leverages LinkedIn's sophisticated algorithms and your specific data (such as Lead Gen Forms, conversion activities, or contact lists) to curate custom audiences that mirror the traits of likely converters, optimizing your campaign's impact. To further elaborate on the concept of Predictive Audiences, it's essential to delve into the mechanics and benefits of this advanced targeting solution offered by LinkedIn. Predictive Audiences harness the power of artificial intelligence and machine learning algorithms, alongside LinkedIn's vast repository of user data, to facilitate advertisers in crafting custom audience segments . This method is particularly adept at identifying LinkedIn members who exhibit behaviors and characteristics closely mirroring those of your existing customers or leads, thereby significantly enhancing the likelihood of conversion. The creation of a Predictive Audience is contingent upon the advertiser providing a robust data source — be it from Lead Gen Forms, website conversions tracked via the LinkedIn Insight Tag or Conversions API, or meticulously curated contact lists. A crucial requirement for these data sources is a minimum of 300 members, ensuring a sufficient sample size for the AI to analyze and predict effectively. One of the standout features of Predictive Audiences is its ability to dynamically adapt and refine its targeting based on ongoing campaign performance and interactions, ensuring that your advertising efforts are continually optimized for the highest possible engagement and conversion rates. This dynamic adaptation is underpinned by LinkedIn's AI, which meticulously analyzes user behaviors, engagement patterns, and conversion metrics to fine-tune the audience segment. Moreover, advertisers are granted the flexibility to select and combine multiple data sources within a single category, such as combining several Lead Gen Forms, to meet the 300-member threshold. This versatility allows for a more granular and tailored audience segmentation , enhancing the relevance and effectiveness of your campaigns. It 's also worth noting the limitations imposed on Predictive Audiences to maintain campaign quality and effectiveness: a cap of 30 predictive audiences per ad account and the prohibition of sharing these audiences across different ad accounts. Additionally, campaigns utilizing Predictive Audiences cannot employ Audience Expansion, ensuring that the focus remains on reaching highly targeted and likely-to-convert individuals. In essence, Predictive Audiences represent a strategic leap forward in digital advertising , offering unparalleled precision in targeting and the potential for significantly improved campaign performance. By leveraging LinkedIn's advanced AI capabilities and rich data ecosystem, advertisers can unlock new levels of efficiency and effectiveness in their B2B marketing strategies . How to create a predictive audience on LinkedIn Using Audience Expansion for LinkedIn Campaigns This feature broadens your marketing horizon by tapping into LinkedIn's extensive professional demographic data, allowing for the inclusion of individuals resembling your defined target audience, thus amplifying your reach. Audience Expansion on LinkedIn stands as a strategic tool designed to amplify the reach of your B2B advertising campaigns beyond the confines of your initial target audience parameters. By employing this feature, LinkedIn enables advertisers to seamlessly connect with a broader set of professionals who share similar attributes, interests, or behaviors to those in your predefined target segments. This is particularly advantageous for B2B campaigns aiming to increase brand awareness, enter new markets, or simply expand their reach within LinkedIn's vast network of professionals. The underlying technology of Audience Expansion leverages LinkedIn's comprehensive professional demographic data. This includes insights into users' job titles, industries, professional skills, and interests, among others. By analyzing these data points, LinkedIn's algorithms can intelligently identify and include additional LinkedIn members who, while not directly specified in your original targeting criteria, exhibit a high degree of alignment with your target audience's professional characteristics and behaviors. Importantly, Audience Expansion does not operate in a vacuum; it is meticulously designed to integrate with Matched Audience segments. This means advertisers can extend the reach of their campaigns even further by combining their custom audience lists, such as those created from website visitors or contact lists, with LinkedIn's expansive demographic data. This synergy between custom and demographic data ensures that the expanded audience is not only larger in number but also maintains a high relevance to the campaign's objectives. However, it's crucial for advertisers to understand the nuances of Audience Expansion, such as the exclusion rules. If specific attributes are deliberately excluded from your target audience, LinkedIn's Audience Expansion will honor these exclusions to ensure the expanded audience remains as relevant and targeted as possible. This attention to detail ensures that the quality of the audience is not diluted, preserving the integrity and focus of the campaign. Another pivotal aspect of Audience Expansion is its impact on campaign analytics. LinkedIn provides detailed performance and demographic metrics that include data from both the original target audience and the expanded audience. This comprehensive view allows advertisers to assess the effectiveness of their expansion strategy and make informed decisions about future B2B campaigns using LinkedIn. It's worth noting, however, that Audience Expansion is not available for certain types of campaigns, such as those using dynamic ad formats or predictive audiences, to ensure the most effective use of LinkedIn's targeting capabilities. In sum, Audience Expansion on LinkedIn is a powerful feature for advertisers looking to cast a wider net while maintaining the relevance and precision of their targeting. It opens up new opportunities to connect with potential customers or clients who are likely to be interested in what you have to offer, thereby maximizing the reach and impact of your advertising efforts on the platform. How to set-up audience expansion LinkedIn campaigns How to Target Matched Audiences on LinkedIn Matched Audiences on LinkedIn provides a powerful way to precisely target individuals likely to be interested in your offerings. Here's a step-by-step guide to effectively use this feature: Step 1: Select Your Data Source To begin targeting, you must decide which data source best suits your needs: Email List : Upload a CSV file with email addresses of your target audience members. Website Visitors : Implement the LinkedIn Insight Tag on your website. This allows you to build audience segments based on specific page visits or actions such as form submissions. Company Data : If you want to target specific companies, you can upload a list of company or domain names. CRM Integration : By connecting your CRM system to LinkedIn, you can directly target your existing customers or potential leads. Step 2: Develop Your Matched Audience Once you've chosen your data source, follow these steps in LinkedIn Campaign Manager: Navigate to the “Audiences” section. Select “Create audience” and go for “Matched Audience.” Upload your chosen file or connect your CRM. For more precise targeting, consider filtering by job title, industry, or other relevant criteria. Save this audience configuration for use in future campaigns. Step 3: Deploy Your Audience in Campaigns With your audience ready, you can now integrate them into your marketing efforts: Set up a new campaign and proceed to the “Targeting” section. Incorporate your matched audience along with any other targeting options, such as demographic data, interests, or skills. Launch your campaign and closely monitor its performance metrics to optimize as needed. By following these steps, you can leverage LinkedIn’s Matched Audiences feature to connect with the right people and enhance your campaign impact. What Factors Affect the Match Rate for LinkedIn's Matched Audiences? When it comes to optimizing your LinkedIn campaigns, understanding the match rate of your targeted audience is crucial. Let’s delve into key factors that influence these rates: Data Quality : High-quality data is paramount. Inaccurate or outdated information can result in poor match rates. Ensure your list contains precise contact details and relevant audience characteristics for optimal results. Audience Specificity : If your target audience is extremely niche, it may lead to lower match rates. Broaden your parameters slightly to capture a more extensive segment, balancing specificity with reach. Data Source and Diversity : The platform's ability to match your audience depends on where and how data is sourced. Diverse and reputable data sources can enhance matches, while reliance on less reliable data might hinder success. Compliance and Privacy Settings : Ensure your data complies with privacy regulations and that users' settings allow for mobility between databases. Sometimes users’ privacy choices can prevent effective matching, lowering rates. Platform Algorithms : The algorithms used by LinkedIn play a role in the match rate, as they process and align your data with existing user information. Continuously evolving, these algorithms will impact how effectively your list translates into matched audiences. You can enhance your campaign’s effectiveness, aiming for higher match rates to drive better engagement and conversions. Navigating the Shift in LinkedIn targeting: Practical Insights for Marketers To adapt, marketers should initiate the use of Predictive Audiences for targeted engagement or opt for Audience Expansion to cast a wider net. Note that after a 30-day dormancy period, unused lookalike audiences will be archived, emphasizing the urgency to transition. Moreover, the discontinuation of the Lookalike API underscores the need for businesses utilizing third-party platforms for audience creation to explore these new avenues. Looking Ahead with LinkedIn's Advertising Innovations As we approach the discontinuation of lookalike audiences, LinkedIn's introduction of Predictive Audiences and Audience Expansion emerges as a forward-thinking solution, offering advertisers powerful tools to refine and expand their audience targeting strategies effectively. For more detailed guidance, LinkedIn's resource center provides comprehensive insights into leveraging these new features to their fullest potential. Best practices for LinkedIn's Predictive Audiences For leveraging LinkedIn's Predictive Audiences to their fullest potential, consider the following best practices: Identify Clear Objectives: Start with a well-defined goal for your campaign. Knowing whether you're aiming for brand awareness, lead generation, or conversions will guide your use of Predictive Audiences . Select the Right Data Source: Choose a data source that aligns with your campaign objectives. Whether it's Lead Gen Forms, contact lists, or conversion data, ensure it's relevant and substantial (with at least 300 members) to create an effective predictive audience. Combine Multiple Data Sources: If necessary, combine several data sources within the same category to meet the minimum member requirement. This can help create a more robust and representative audience. Maintain Data Quality: Ensure your data sources are up-to-date and accurately reflect your target audience. High-quality data is crucial for the AI to generate relevant predictive audiences. Monitor and Adjust: Regularly review your campaign performance. Be prepared to adjust your data sources or targeting criteria based on the insights gathered to continuously optimize campaign results. Understand Limitations: Be aware of the limitations, such as the cap of 30 predictive audiences per ad account and the inability to share audiences across accounts. Plan your audience strategy within these constraints. Exclude Irrelevant Data: If certain segments of your data do not align with your campaign goals, consider excluding them to refine your audience further. Leverage LinkedIn Insights: Utilize LinkedIn’s insights and analytics to understand the characteristics and behaviors of your predictive audience. Tailor your messaging and content strategy to resonate with this group. Stay Informed: Keep up-to-date with LinkedIn's evolving tools and features for audience targeting. Continuous learning can uncover new opportunities to enhance your Predictive Audiences strategy. Following these best practices will help maximize the effectiveness of your Predictive Audiences, leading to more targeted, efficient, and successful LinkedIn advertising campaigns. Best practices using LinkedIn Audience Expansion To optimize the use of LinkedIn's Audience Expansion feature for broader yet targeted reach, adhere to these best practices: Clearly Define Your Core Audience: Before activating Audience Expansion, ensure your initial target audience is well-defined. A precise core audience allows LinkedIn to more accurately identify similar profiles for expansion. Understand the Expansion Criteria: Familiarize yourself with how LinkedIn determines similarity for Audience Expansion, including professional demographics and interests, to better anticipate the expanded audience’s composition. Use in Conjunction with Matched Audiences: Combine Audience Expansion with Matched Audience segments, such as those from website visitors or contact lists, to leverage both your specific targets and LinkedIn's broader network. Monitor Expansion Performance: Keep a close eye on the performance metrics of campaigns using Audience Expansion. Analyze both the core and expanded audience’s engagement to adjust your strategy as needed. Be Cautious with Exclusions: When setting up your campaign, carefully consider any exclusions. Excluding certain demographics or characteristics can significantly impact the effectiveness of the expanded audience. Adjust Based on Campaign Goals: Tailor the use of Audience Expansion based on your campaign objectives, whether for lead generation, brand awareness, or event promotion, to ensure it aligns with your goals. Review Demographic Reporting: Utilize LinkedIn’s demographic reporting to gain insights into the performance and characteristics of both your target and expanded audiences, allowing for further refinement. Optimize Ad Content for a Broader Audience: Since Audience Expansion widens your reach, ensure your ad content appeals to a broader segment while still resonating with your core audience’s interests and needs. Evaluate Campaign Type Compatibility: Remember that Audience Expansion is not available for all campaign types, such as dynamic ads. Choose your campaign format accordingly. Stay Updated on LinkedIn Features: As LinkedIn continuously updates its advertising tools and features, staying informed can help you leverage Audience Expansion and other features more effectively. Best practices for LinkedIn audience expansion Implementing these best practices will enable you to maximize the potential of Audience Expansion on LinkedIn, ensuring you reach a wider yet relevant audience to drive your campaign objectives.

Table of Contents Integrate Loyalty with Your Dispensary POS System Leverage AI for Personalized Recommendations Implement a Tiered Rewards Structure Automate Dispensary Marketing Communications Utilize Mobile Apps for Enhanced Engagement Implement Cross-Channel Purchase Tracking for your Dispensary Focus on Compliance and Reporting Key Takeaway Implementing cannabis loyalty automation strategies is essential for boosting customer retention in the competitive dispensary market. By integrating loyalty with POS systems, leveraging AI, using tiered rewards, automating communications, utilizing mobile apps, tracking cross-channel purchases, and ensuring compliance, dispensaries can create engaging and personalized loyalty programs that stand out in the cannabis industry. Implementing cannabis loyalty automation is crucial for combating churn burn in the competitive dispensary market. This article explores seven proven strategies to leverage technology and boost customer retention through automated loyalty programs. 1. Integrate Loyalty with Your Dispensary POS System One of the most effective ways to streamline your cannabis loyalty automation is by integrating it with your Point of Sale (POS) system like Treez or Dutchie . This integration allows for: Real-time tracking of member purchases and points Instant reward redemption at checkout Automated point calculation based on spending Platforms like AlpineIQ offer built-in loyalty features that seamlessly connect with most POS system. This integration ensures that your staff can easily manage rewards and that customers have a smooth experience both online and in-store. 2. Leverage AI for Personalized Recommendations Artificial Intelligence (AI) is revolutionizing how dispensaries engage with their customers. By analyzing purchase history and preferences, AI-powered systems can: Offer personalized product recommendations Send targeted promotions based on individual tastes Predict future buying behavior AlpineIQ Loyalty program and recommendation engine A robust dispensary CRM integrated with loyalty automation can significantly improve customer retention and engagement. For example, if a customer frequently purchases indica strains, the system can automatically send them notifications about new indica products or related discounts. 3. Implement a Tiered Rewards Structure Creating a tiered rewards system can encourage customers to increase their spending and visit frequency. Here’s how to structure it: Entry-level: Basic points for purchases Mid-tier: Exclusive discounts and early access to new products Top-tier: VIP experiences, such as private consultations or event invitations Platforms like Springbig loyalty offer comprehensive solutions for cannabis businesses looking to automate their rewards programs with tiered structures. This approach not only rewards your most loyal customers but also motivates others to reach higher tiers. 4. Automate Dispensary Marketing Communications Keeping in touch with your customers is essential, but it can be time-consuming. Automating your marketing communications can help you stay connected without overwhelming your staff. Set up: An effective cannabis loyalty program should seamlessly blend automation with personalized customer experiences. For instance, you could set up an automated email series that educates new members about your rewards program and encourages them to make their first purchase. 5. Utilize Mobile Apps for Enhanced Engagement In today’s mobile-first world, having a dedicated app for your loyalty program can significantly boost engagement. A mobile app can: Allow customers to check their points balance anytime Send (free) push notifications about deals and new products Offer mobile-exclusive rewards Choosing the right weed software with built-in loyalty features can streamline operations and boost customer retention. Look for platforms that offer white-label mobile app solutions to keep your branding consistent and provide a seamless customer experience. 6. Implement Cross-Channel Purchase Tracking for your Dispensary Customers often switch between online and in-store shopping. Implementing cross-channel purchase tracking ensures a consistent experience across all touchpoints. This strategy: Allows customers to earn and redeem points regardless of purchase method Provides a unified view of customer behavior for better targeting Enhances the overall customer experience By documenting purchases across all channels, you can create a more comprehensive customer profile and tailor your loyalty program accordingly. 7. Focus on Compliance and Reporting In the highly regulated cannabis industry, ensuring your loyalty program complies with local laws is crucial. Implement automated compliance tools that: Track purchase limits to prevent overbuying Generate required reports for regulatory bodies Ensure age verification at every transaction Platforms like BioTrack offer comprehensive tracking and compliance reporting features that can be integrated with your loyalty program. This not only keeps you on the right side of the law but also builds trust with your customers. Elevate Your Dispensary with Smart Loyalty Automation Implementing these cannabis loyalty automation strategies can significantly improve customer retention and boost your dispensary’s success. By leveraging technology to create personalized, engaging, and compliant loyalty programs, you’ll stand out in the competitive cannabis market. Ready to take your dispensary’s loyalty program to the next level? Explore the top cannabis loyalty automation platforms and start implementing these strategies today. Your customers—and your bottom line—will thank you.

Programmatic advertising provides new capabilities for cannabis brands seeking to engage their core endemic audiences digitally. While search and social options remain limited, programmatic allows precise targeting beyond basic demographics. Automated buying and optimization also enable efficient spending and optimization at scale. For cannabis, programmatic offers advanced targeting to reach valuable but elusive consumer segments. The Value of Cannabis' Endemic Audience Segments Cannabis has a passionate, loyal endemic audience. These consumers actively participate in cannabis culture, keep up on trends, and purchase new products. Their behaviors and psychographics differentiate them from casual cannabis users. Endemic users drive significant value: 25% of cannabis consumers use it daily, generating predictable repeat purchases Weekly users spend on average 2.5x more than infrequent users Early adopters willing to pay premium prices for new innovative products Vocal on social media and active in online cannabis communities Lifetime value is up to 4X higher than non-endemic consumers Adult Use Cannabis Sales Estimates However, endemic users are difficult to target through conventional digital methods: Platform restrictions prevent targeting interests like “cannabis enthusiast” Limited demographic and basic interest data to identify high-value users Anonymous profiles on platforms hide cannabis purchase intent signals As the legal market expands, identifying and engaging endemic cannabis audience segments will only become more crucial for brands. Programmatic advertising provides powerful tools to reach this valuable yet elusive audience. Why Programmatic Advertising is the Next Frontier for Cannabis Programmatic display and video campaigns access key tools not available through search and social platforms alone: Precise Targeting Programmatic exchanges integrate data from first and third-party sources. This enables creating highly-specific audience segments beyond basic demographics. Targeting can include interests like different cannabis product types, preferred consumption methods, events, and hobbies. Contextual placements also reach consumers interested in cannabis-related topics. Cross-Device Reach & Optimization While cookies are being phased out, alternative identifiers like IDFA, GAID, and hashed emails allow programmatic campaigns to continue determining common users across devices. This allows tailoring messaging when consumers are likely to convert. As programmatic learns more about a user over time, it optimizes the products and messages that perform best. Real-Time Automation & Optimization Programmatic bidding happens in an instant, automatically adjusting bids and placements based on campaign goals. Machine learning combined with efficient buying mechanics constantly refine targeting and creative combinations that resonate best. Transparent Reporting Robust analytics provide transparency into metrics that matter most for cannabis brands. Custom attribution models accurately track the influence each touchpoint has in driving a conversion. Brand safety settings also ensure ads run in safe environments. Together, these programmatic capabilities provide cannabis brands the tools needed to engage their core consumers more precisely and effectively. As the legal market matures, programmatic adoption will rapidly accelerate to meet endemic audience demand. Contextual Targeting Strategies for Cannabis Marketing Campaigns Contextual targeting places ads on publisher sites and sections relevant to cannabis: Cannabis & Alternative Health Content Target sections on sites focused on medicinal use, clinical research, policy news, and benefits of compounds like CBD. Displays ads alongside contextually relevant content. Cannabis Culture & Lifestyle Content Reaches consumers reading cannabis news, entertainment stories, events listings, product reviews and cannabis-friendly recipes. Endemic & Closely Related Interest Content Sites focused on holistic living, herbalism, mind-body practices, and psychedelic therapy align well with psychographics. Geo-targeting Around Events & Dispensaries Geo-conquesting targets users near festivals, dispensaries or other relevant local destinations. Contextual targeting enhances relevance, especially for endemic consumers immersed in cannabis content. Retargeting display ads after site visits or video views also reminds users of products. Start Running Cannabis Programmatic Campaigns For cannabis brands struggling to connect with core endemic consumers , programmatic advertising overcomes the limitations of other digital channels. Unprecedented targeting, efficient automation, and optimization capabilities provide the tools to reach high-value audiences. As the legal cannabis market grows, programmatic adoption will escalate across the vertical. Brands should move quickly to become first-movers. Partnering with experienced agencies ensures you capitalize on programmatic’s benefits to achieve tangible business results. Now is the time to harness this new frontier, reach untapped endemic audiences, and fuel your growth.