The Home section gives your team powerful widgets that are crucial to your business' health and growth. The image below depicts a placeholder account and will be used to help your team learn Alpine and utilize the technology based on your business' unique needs.
The Leaky Bucket gives your team the power to analyze the correlation between new customers gained and customers lost. Two views are available: daily and ratio. Leaky bucket is more likely to be accurate with longer time ranges. This is because new customers are commonly being won at the same time that Alpine IQ is winning back absent or gone customers. Please see "Lifecycle Distribution" below to understand how a customer ends up being marked "GONE". Leaky bucket simply shows the number of customers marked "GONE" by the day they were discovered to be gone. If they are won back at a later date, they will be marked as a new active customer, and earn the opportunity to work through a new customer lifecycle. However, because you can lose and win back customers multiple times, a longer time range is preferable to see if you are losing more customers than you are winning daily. If you have larger red bars than green bars for a consecutive period of time, you will know that your business is likely going down hill and you need to resolve an issue that appeared around the time the red bars started to overpower new customers.
The Customers Won Back widget provides an analysis on your team's re-engagement effort. One of the most common Alpine IQ strategies is to try to engage and incentivise customers to return once they fall into lifecycle stages such as "Absent", "Highly absent" or "Gone". If a customer returns and purchases from you while being inside one of those lifecycle stages, they will be marked as a won back customer for that day.
Tip: Utilize this widget to measure customer winback messaging campaigns.
The Earned With Conversions widget gives your team the power to track total revenue derived from AIQ tracked conversions across all available connected tools. This means that if you send emails over Mailchimp, we can track down to the SKU level what converted after that Mailchimp email was sent, clicked on, etc. The revenue derived (All time) from those conversions is shown in this box. This metric would also include revenue derived from Alpine IQ messaging assuming we were responsible for that conversion.
The Lifecycle Distribution widget gives your team the power to estimate your customer base's probability of making another purchase. Each persona has a unique lifecycle distribution created after they've made two purchases. If they fall out of that purchasing pattern, the customer would move into the next lifecycle stage and as their purchasing habits continue to slow down you'd be able to see them "fall" into less active purchasing stages.
You will notice that customer counts are shown below the horizontal stacked bar chart. These customer counts reflect how many contacts are in each stage at any given time. It also shows the revenue opportunity of those contacts based on their previous purchases. One of the most common questions is "Why are my customer counts lower than my personas count when totaled?", this is because you can't understand where a customer should be in stages without first knowing their avg time between visits/ purchases. It's not in anyone's best interest to muddy the use cases of lifecycle analytics with anonymous (often cash-paying) customers.
How does a customer get from the active stage to the gone stage? Example: Nick visits once every 7 days to buy without breaking a sweat for 6 months straight. He then is not seen for 14 days. Nick is likely now in the late chilling or early absent stage. If he is now not seen for a total of a month, he is gone and likely lost to a competitor.
Example 2: Summer visits your store every 2 months. It's been 1.5 months since her last visit. She is still an "Active" stage customer.
Example 3: Allen is lost from a previous lifecycle journey. He comes back to visit randomly. He is now a won-back active customer. His avg days between visits have changed and a new journey starts based on his time cadence.
Alpine IQ used billions of dollars of cannabis orders across hundreds and hundreds of stores to identify stage placement confidence.
The Data Network - series of widgets - gives your team the power to visualize how customers flow in and out of your data network. Your team may add new data sources, build new audiences, and can transform clean, usable data into key insights that can be utilized throughout your organization. This is meant to be a quick overview of your network with 24/hr and lifetime import/ export number badges on each integration. This page also contains a red sync timer that counts down to the next full resync for integrations. Please note that some integrations sync live but every 4 hours a complete "re-cleanse" is performed and slower API's are pinged to import.
The Sources/ Destination tiles in the Data Network give anyone on your team the power to input data from real-time or static sources. Visit our integrations page to learn more about which technology partnerships Alpine IQ has in place. Please send us an email at firstname.lastname@example.org if you have any recommendations of who Alpine IQ should integrate with.
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