A marketer wants te capture open-ended feedback fram custamers via SMS and
write it to a data extension.
How could MebileComnect be used to accomplish this?
To capture open-ended feedback via SMS and write it to a data extension, using a text-response message template with embedded AMPscript is the most suitable approach. This method allows for the dynamic handling and processing of the incoming SMS responses. The AMPscript can be programmed to parse the response and write the collected data to a specified data extension, making it an effective way to capture and store open-ended feedback. Reference: Salesforce MobileConnect documentation, AMPscript in MobileConnect
A customer wants to improve the previous 10 years purchase data n their Marketing Cloud account. Through discovery, it is determined there are over 200 million records they plan to upload via the REST API, and this volume will continue to grow as the current purchase data is added.
Which two questions should be asked for further discovery?
Choose 2 answers
How many API calls are expected to be made at peak hourly rate? This question will help determine if they have enough API limits and bandwidth for importing large volumes of data via REST API into Marketing Cloud. The REST API has limits on how many requests can be made per hour per account based on license type and edition.
Why do they require 10 years' historical data in Marketing Cloud? This question will help determine if they have a valid business case and use case for importing large volumes of historical data into Marketing Cloud. Depending on their marketing objectives and strategies, they may not need 10 years' historical data in Marketing Cloud, which could reduce their storage needs and costs.
What time of day are the API calls made is not relevant to determining a solution for importing large volumes of data via REST API into Marketing Cloud, as it does not affect how data is imported or processed. Whether someone needs to be notified if an error happens on import is not relevant to determining a solution for importing large volumes of data via REST API into Marketing Cloud, as it does not affect how data is imported or processed. Reference: https://help.salesforce.com/s/articleView?id=sf.mc_overview_large_data_extensions.htm&type=5 https://developer.salesforce.com/docs/atlas.en-us.noversion.mc-apis.meta/mc-apis/using_the_rest_api.htm
Northern Trail Outfitters (NTO) wants to personalize emails and display different content based on customer points. NTO has limited development expertise and chooses to use dynamic content.
What should the consultant consider when building dynamic content rules?
Northern Trail Outfitters and its subsidiaries use Sales Cloud and marketing Cloud to send customers frequent email communications of new products and updates on their portfolios. They have noticed the messages and branding being sent varies greatly and would like to create a better customer experience.
What extension product should be considered to unify the messaging and branding of these communications while still allowing personalization and timing of campaigns?
Northern Trail Outfitters (NTO) is launching a new campaign that will collect subscriber information to better target and segment its marketing communciations. NTO wants to target users of its app and social platforms who have not engaged with previous emails in the campaign. If the subscriber opens or clicks after three messages, they will be removed from the campaign.
Which solution should the consultant implement?
The best solution for NTO's campaign is to use a Multi-Step journey with a Data Extension/Automation entry source. This setup allows for the segmentation and targeting of the specific subscribers as per the campaign requirements. Subscribers who have not engaged with previous emails can be identified and targeted. The journey can be configured to monitor open or click activities, and if a subscriber interacts after three messages, they can be automatically removed from the campaign. This approach provides a dynamic and automated way to manage the campaign's lifecycle based on subscriber behavior. Reference: Salesforce Journey Builder documentation, Data Extension and Automation Studio in Marketing Cloud
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