DATE:
AUTHOR:
The AIQ team
Analytics Loyalty Marketing Mobile Apps

AIQ updates for September 29th, 2022

DATE:
AUTHOR: The AIQ team

New features, optimizations and bug fixes from September 29th, 2022.

9.29.22

  • New - Paid card x times audience trait

    • Audiences

    • Use this audience trait to create a segment around the number of times a customer has used a "card" payment method. This would include "gift", "debit", "credit", and any other payment method that includes the word "card", or a card network name. This trait will act similarly to the "paid cash X times" where the trait parameters will be "more than", "exactly", "less than", & "in range".

9.27.22

  • New - Toggle to disable all 2fa pin code SMS messages

    • Settings > Points & Permissions

    • You now have the ability to disable 2fa pin code verification messages for Tier 3 integrations.

  • New - Ability to set an order or priority for discounts in the web and native digital wallets

    • Discounts

    • You now have the ability to customize the order of the discounts as they appear in the digital wallet. Similar to setting a campaign channel priority as part of our Waterfall feature, simply click the arrows under the Priority column to rearrange discounts. If you do not set a priority, the default priority will be enabled and custom discounts will appear first followed by tiered discounts which be arranged in ascending order from top to bottom based on the point values associated to the tiered discounts.

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9.22.22

  • Update - "Total spent as member" column added to the Audience Points Report

    • Audiences

    • AIQ gives you the ability to download different types of reports for any audience you create. Head to your Audiences page and if you click on the three little dots to the right of any audience you'll find different reports you can download. We added a column for Total spent as member to the Points Report (️) which will show you the total $ amount a customer has spent as a loyalty member

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  • New - Add Tattle as review template option

    • Settings > Reviews

    • If you have a Tattle integration, add your unique Tattle URL next to the Tattle field. This will add a "review" button to your web app and native app (if applicable) and give you the ability to use the {{favoriteStoreTattle}} macro in the campaign builder.

  • Update - Three new columns added to Redemption Table in Member Club stats

    • Data Analytics > Member Club > Redemption Occurrences table

    • We added three new columns to the Redemption occurrences within report timeframe table:

      • POS - what point of sale was used when the redemption occurred.

      • Receipt ID - the receipt ID from the point of sale.

      • Customer ID - the customer's ID in the point of sale (not their AIQ UID).

9.15.22

  • Update - Moved SMS landing page expiry from the channel selector to the SMS builder

    • Campaigns

    • We moved the toggle/setting to expire a message (landing page link) to the SMS builder.

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9.13.22

  • Update - Expire SMS landing page based on campaign builder setting

    • Campaigns

    • Previously, the landing page a user needs to click on to see their message wouldn't expire and could cause confusion if someone clicked on an old link and saw outdated messaging. You now have the ability to set an expiration date in hours or days for when you want the landing page link to expire.

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  • Update - Added a "Native Push" audience column on the Audiences page

    • Audiences

    • You'll now be able to see how many contacts in any given audience have opted into native push notifications via a dedicated Push Opt-Ins column on your Audiences page.

  • Update - Analytics user interface changes

    • Data Analytics

    • We simplified and cleaned up the Order Insights and Member Club pages to improve navigation and visualization of various metrics.

9.7.22

  • Update - Added order frequency by report date range on the Member Club tab in Data Analytics.

    • Data Analytics > Member Club

    • You can now look at the Member vs non-member order frequency breakdown data by a specific date range or the all-time data.

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