Dispensary Google Ads Machine Learning
MediaJel’s new AI software connects real-time trends to dispensary Google Ads campaigns, supercharging performance and increasing ecommerce sales and revenue by up to 25%.
Using a combination of historical data, real-time weather data, and social media signals, our new Google Ads machine learning technology creates models around a variety of rich data sets. This extensive modeling produces dynamic bid strategies that respond to trends and shifts in demand, thus yielding greater returns.
So what does this mean for cannabis dispensaries and delivery services?
Better Ads, Faster
We can now create more high-converting Google Ads even faster to help our clients increase their reach and find new customers. Plus, these campaigns will be more effective than they were before—which is really saying something.
Our dispensary customers were already seeing great return on ad spends (ROAS) on their Google Ads investments. Now, we’ll be able to improve upon our own performance and take our clients’ campaigns up a notch.
With machine learning, we’ll be able to create ads that lead to even more clicks, increasing our customer’s return on ad spend and creating a renewable pipeline of online revenue. When created as part of a larger dispensary marketing strategy, our new Google Ads machine learning campaigns will help our clients capture a larger part of their markets.
How to Get Started with Dispensary Advertising & Google Ads Machine Learning
We’re excited to offer this incredible service to our clients. We’ve already begun instituting Google Ads AI for our multi-store operators (MSO) clients so they can begin reaping the rewards.
Because the ability to use and analyze historical transaction data and combine it with current trends and information is part of what makes this software so effective, you’ll want to start your Google Ads as soon as possible to take advantage of this amazing technology. Once we have a baseline for your ads, we can begin to optimize them with Google Ads AI and make them perform even better.
To be eligible for Google Ads AI, you’ll also have to maintain a minimum ad spend of $1,000.
Well, in order for the Google Ads machine learning to be effective, it needs to be able to create testable bid strategies to learn. If your budget is too small, there’s no wiggle room to test campaigns and bid amounts.
Ultimately, our goal is to create ads that lead to ecommerce sales. This means that we need to research keywords to help your ads show up in search and create copy that makes people want to click on the ads. With a larger budget, we can pinpoint a more expansive variety of keywords and create different copy for various customer segments so that each ad is more likely to convert into a sale.
Want to learn more? We’d love to talk to you about this amazing service. Contact us today!