SEO 101 for Cannabis Dispensaries

Key Insights

• Last-touch attribution, which gives 100 percent of conversion credit to the final channel a customer engaged with before converting, systematically undervalues upper-funnel awareness channels like programmatic display that introduce customers to your brand.
• Multi-touch attribution models distribute conversion credit across all channels a customer engaged with in their path to purchase, giving a more complete picture of how your marketing ecosystem works together.
• Incrementality testing - running controlled experiments that measure what would have happened without a specific channel - is the most accurate way to measure the true causal impact of any marketing channel.
• For cannabis dispensaries with limited data volumes, simplified attribution frameworks that track online order paths and use foot traffic attribution data from programmatic campaigns provide practical accuracy without requiring enterprise analytics infrastructure.
• Attribution data is most valuable when it is used to inform budget allocation decisions - shifting spend toward channels that demonstrate incremental impact and away from channels that only capture credit for conversions that would have happened anyway.

Expert Answers

[{What is attribution modeling for cannabis marketing?}

Attribution modeling is the practice of assigning credit for customer conversions - online orders, store visits, or new customer acquisition - to the marketing channels that contributed to them. For cannabis dispensaries, which typically run multiple channels simultaneously including programmatic display, paid search, social, email, and SMS, attribution modeling helps answer which channels are actually driving results and deserve more investment versus which ones are only capturing credit for conversions that would have happened anyway.

{What is last-touch attribution and why is it problematic?}

Last-touch attribution assigns 100 percent of conversion credit to the last marketing channel a customer engaged with before converting. It is the default setting in most analytics platforms because it is simple to implement. It is problematic for cannabis dispensaries because it systematically overvalues channels that appear near the end of the customer journey - like branded search and SMS - and undervalues channels that build awareness earlier in the journey, like programmatic display. Dispensaries using last-touch attribution often underinvest in the channels that are actually generating their customer base.

{What attribution model should cannabis dispensaries use?}

Most cannabis dispensaries benefit from a position-based or time-decay attribution model that distributes credit across multiple touchpoints rather than awarding all credit to the last click. Position-based models, which give more weight to the first and last touchpoints while distributing remaining credit across middle-funnel interactions, are particularly useful for understanding the full customer journey. Pairing multi-touch attribution with channel-specific metrics like programmatic foot traffic lift data and SMS-attributed online orders gives the most complete picture.]

Webinar Highlights

00:00 - The Attribution Problem: Why Last-Touch Is Misleading Cannabis Advertisers

The session opens by explaining why last-touch attribution is the default but also the most misleading model for cannabis dispensaries running multi-channel campaigns.

15:00 - How Multi-Touch Attribution Works

This section covers the mechanics of position-based and time-decay attribution models, how they distribute credit across the customer journey, and what they reveal that last-touch attribution hides.

28:00 - Incrementality Testing and Causal Attribution

The webinar covers what incrementality testing is, how it measures the true causal impact of marketing channels, and how cannabis dispensaries can design practical experiments even without enterprise analytics budgets.

40:00 - Building a Practical Attribution Framework for Your Dispensary

The session closes with a practical framework for cannabis dispensaries to build attribution practices that are accurate enough to improve budget decisions without requiring complex technical infrastructure.

Frequently Asked Questions

[ {What is marketing attribution for cannabis dispensaries?}

Marketing attribution for cannabis dispensaries is the practice of measuring which marketing channels and campaigns are responsible for driving online orders, store visits, and new customer acquisition. Because cannabis dispensaries typically run multiple channels simultaneously, attribution helps operators understand which investments are generating results and how to allocate budgets more effectively. Getting attribution right is important because the same conversion - a customer visit or online order - can appear in the reporting of multiple channels, making it easy to double-count or misallocate credit.

{What is the difference between first-touch and last-touch attribution?}

First-touch attribution gives 100 percent of conversion credit to the first marketing channel a customer encountered, while last-touch attribution gives all credit to the last channel they engaged with before converting. First-touch overvalues awareness channels and undervalues conversion channels; last-touch does the reverse. Both are single-touch models that miss the full story of how a customer's path to purchase actually unfolded. Multi-touch models address this by distributing credit across all channels a customer engaged with.

{What is incrementality testing in cannabis marketing?}

Incrementality testing is an experimental approach to attribution that measures the true causal impact of a marketing channel by comparing conversions among customers who were exposed to that channel against conversions among a matched group who were not. This approach answers the question that standard attribution cannot: would these customers have converted anyway without this channel? Incrementality tests require sufficient data volume to produce statistically valid results, but even simplified tests provide more accurate signals than any attribution model based on correlational data alone.

{How does foot traffic attribution work for cannabis dispensaries?}

Foot traffic attribution measures the impact of digital advertising on in-store visits by matching the devices of people who were exposed to your ads against the devices observed at your dispensary location. Programmatic advertising platforms like MediaJel use device-level location data to attribute store visits to specific campaign exposures, giving cannabis dispensaries a way to measure the offline impact of digital campaigns. This data should be treated as directional rather than perfectly precise, but it provides meaningful signal for evaluating which campaigns are driving physical store visits.

{Why do different marketing channels show different conversion numbers for the same customers?}

Different marketing channels show different conversion numbers because most analytics and advertising platforms use last-touch attribution by default, and each platform attributes conversion credit only to its own touchpoints. A customer who saw a programmatic ad on Monday, received an SMS on Wednesday, and clicked a Google search ad on Friday before placing an order will show up as a conversion in all three channel reports. This is called attribution overlap, and it means that summing conversions across channel reports will significantly overstate total conversions. A unified attribution model that tracks the full customer journey is the only way to avoid this double-counting. ]