Name: Wine Industry Sales Symposium
Start: 2022-08-24T12:00:00-04:00
End: 2022-08-24T13:00:00-04:00

Wine Industry Sales Symposium

August 24, 2022 @ 12:00 pm - 1:00 pm

Join Mather Economics for our upcoming webinar by registering at this link.

Using Data Analytics to Optimize DTC Pricing and Inventory Depletion

Far too often, important pricing decisions are based primarily on how much competitors and/or neighbors are selling their products for, instead of leveraging data at their disposal to make better-informed, fact-based decisions. The session will feature a panel of winery executives to tell their story as to how they have started using predictive analytics to augment their pricing and inventory optimization strategies in 2022 and the results they experienced.

This webinar is for industry principals of any size winery looking to strike the perfect balance between maximizing profitability via the proper pricing strategy while at the same time managing depletion rates at a pre-planned pace.

We invite you to join us on August 24 at 9:00 am PT

{ Register here }

Details

Date:: August 24, 2022
Time:: 12:00 pm - 1:00 pm
Event Category:: Webinar
Event Tags:: Data Analytics, inventory management, wine pricing
Website:: https://winesalessymposium.com/symposium.php#session1

Glossary terms for Listener

Ad Revenue at Risk: The advertising revenue that is impacted under varying scenarios. Not all ad revenue may be lost even though it is at risk.
Article PVs at Risk: The article page views that are impacted under varying scenarios. Not all page views may be lost even though they are at risk.
Conversions: The volume of users who become paid subscribers after encountering the paywall at a given meter setting.
Conversion Rate: The ratio of users who become paid subscribers vs. users who encounter the paywall at a given meter setting.
Engagement Group: A categorization for users based on how engaged the are on the site over a 30 day period. Engagement includes page views, article page views, number of unique days a user visited the site, the number of sections a user visited, the total time a user spent on the site, and how far down the page the user scrolled (scroll depth).

Fanatics: the most engaged group of the engagement group.
Enthusiasts: the second most engaged group.
Stable Users: the third most engaged group.
Dabblers: the fourth most engaged group.
Flybys: the fifth most engaged group.
Non-Engaged: the least engaged group.

Impression: An advertisement view or delivery.
Paywall: The software that restricts access to online content for unpaid users.
Meter Setting: The free amount of either pages or days that a user can view before hitting the paywall.
Known User: An anonymous user who engaged with the newsletter or logged in using Gigya over the 30-day period
Paid Subscribers: Subscribers who are paying some price for a subscription.
Paywall Hits: The volume of users who encounter a paywall and are restricted from reading metered content at a given meter setting.
MIP: Mather intelligent paywall. A dynamically adjusting paywall based on user propensity and other behavioral, environmental, and predictive characteristics
ATB: Across-the-board. A static paywall that is not data-driven