[Mentor Amrita Kedia] Adobe Real-Time CDP Community Mentorship Program 2024

[NimashaJain]

Hello Team,

Welcome to the Adobe Real-Time CDP Community Mentorship Program 2024! This is the featured Community Discussion/Contextual thread for your Adobe Real-Time CDP Community Mentor, Amrita Kedia (aka @amritakedia1 )!

Amrita will be your dedicated mentor, providing valuable support and guidance on your Adobe Real-Time CDP queries as you upskill yourself and prepare for Real-Time CDP certification throughout the program.

Aspirants mapped to Mentor Amrita Kedia (aka @amritakedia1 )

1) Brian Cabreros ( @BCabby )
2) Luke Stansmore ( @Luke )
3) Suchith kondadasula ( @iamsuchith )
4) Bhavani Dasari ( @BhavaniDa )
5) Vinod Kannan ( @vinodk21837476 )
6) Bhanu Chander Pasala ( @Bhanu8562 )
7) Suchi Agarwal ( @Suchi-Agarwal )
Wandile Hadebe ( @WandileHa1 )
9) Maushami Desai ( @inspiringstarz )
10) Apurvi Gulati ( @aguseranalytics )
11) Susan Mathew K ( @suematk )
12) Alexis Shiro ( @AlexisSh1 )
13) Shailesh Bassi ( @ShaileshBassi )

How to participate in the program

• Post your Questions in this thread to connect with your Mentor, Amrita, and fellow Aspirant peers.
• Stand a chance to win the ‘Most Engaging Aspirant’ recognition from your mentor by participating in a weekly quiz.
• Test your knowledge by replying to the unresolved questions in the Real-Time CDP and AEP community and tag your Mentor to get recognized as an ‘Exceptional Contributor’ by your mentor.
• Stick to the schedule to cover one module/week and clear Adobe Real-Time CDP Certification during the program: July 15 – Aug 30

Suggested Next Steps for Aspirants:

• Update your Community Profile photo with your latest headshot to stand out to your Mentor and Peer Aspirants.
• "Like" this thread to confirm your participation in the program.
• Introduce yourself to Amrita and your Aspirant peers by Replying to this Thread! Break the ice by introducing yourself (location, org/ company, etc.) and your experience with/ interest in Adobe DX stack. 
• Post your Questions to this thread as you begin learning more about the  Adobe Real-Time CDP Business Practitioner Professional Certification (Exam ID: AD0-E602)
• Stick to schedule and ensure you track your progress in the exam prep guide.
• Test your learning by replying to weekly quiz by your mentor
• Practice the modules by replying to unresolved queries in the AEP community & RTCDP Community and tag your mentor. 

Remember that every post / like / comment you make in your contextual thread and the Real-time CDP Community throughout the program helps increase your chance to be recognized by your Mentor and win exclusive Adobe swag, so bring your best efforts!

We wish you all the best as you embark on this learning journey!

[BCabby]

Hi @amritakedia1 and my fellow Aspirants!

This is Brian. I'm a Director of Marketing Operations at Zendesk based in San Francisco CA. We are in the implementation phase of replacing our current martech stack with Adobe solutions: Marketo Engage, Assets, AEM Sites, Target and RT-CDP.

My team will be responsible for general admin of CDP/AEP and to support Marketing with Segmentation and Activation. I'm looking forward to earning my Business Practitioner certification and connecting with the community.

[amritakedia1]

Welcome to the Journey . Happy to help and guide

[VKannan17]

Hi @amritakedia1 and my fellow Aspirants!

This is Vinod Kannan. I'm a Manager of Data Analytics at Conde Nast Tech Lab based in Bangalore, India. Currently, I’m focused on implementing Snowplow Analytics and onboarding data governance tools like AVO and Alation to enhance data quality, security, and compliance.

My team and I handle data privacy and compliance, ensuring adherence to regulations such as GDPR and CCPA. We collaborate closely with marketing, product, data engineering, and executive teams to refine digital strategies and optimize conversion funnels.

With extensive experience in Google Analytics, Adobe Analytics, various tag management systems like Adobe Launch, Tealium and Google Tag Manager, and Segment CDP, I ensure accurate data collection and in-depth analysis.

I’m passionate about data governance, customer journey analytics, and leveraging cloud technology, and I look forward to connecting with the community to share insights on advanced analytics and data-driven strategies.

[AlexisSh1]

Hi everyone! I'm currently working at Vanguard as the product owner for Adobe RTCDP. I have some experience with the tool, but am looking forward to learning more about it and how it fits into the broader Adobe and MarTech ecosystems.

[ShaileshBassi]

Hi everyone! I'm currently working at Nagarro as a Solution Architect. I have an experience working with Adobe Experience Manager, but over here I am looking forward to learn more about Adobe RT-CDP to gain in-depth knowledge about the product to contribute more towards complete experience journey.

[amritakediaAdobe]

Team Lets get the Questions coming and where can I help!

[WandileHa1]

Hi everyone !!

I am Wandile and I am Currently for Nedbank in South Africa . I am a Data Scientist.

I have experience working with AJO and I look forward to learning more CDP.

[amritakediaAdobe]

Team please let me know where we are in the Journey and how can i help!

[AlexisSh1]

Can you please point me to where the weekly quizzes/practice questions are located?

[amritakediaAdobe]

Just posted. Sorry for delay !

[amritakediaAdobe]

Hi All,

RTCDP MP 24 | Weekly Quiz | Quiz 1

Here’s a quiz to get started ! This is more of a mixed one just to check all the topics at a macro level. Feel free to answer with a comment.

1. What kind of audiences would help me achieve same page and next page personalisation?
2. What Kind of Audiences will you use for Realtime personalization for email channel.
3. I am saving an Audience that look at offline batch purchase dataset, why can i not save it as streaming ?

Let me know your responses in the comments below.

Cheers,

Amrita

[VKannan17]

1. What kind of audiences would help me achieve same page and next page personalization?

For same-page personalization, 

1. Consider new versus returning visitors, such as showing a welcome message or discount to new visitors and displaying recently viewed products for returning users. 
2. Behavior-based audiences can include those who click on specific elements, scroll to certain depths, or spend a certain amount of time on a page, enabling tailored content like special offers or related product recommendations. 
3. Geo-location audiences allow for location-specific promotions, while device type audiences ensure mobile users see optimized content. 

For next-page personalization, 

1. Journey-based audiences focus on users' previous page visits or their stage in the conversion funnel, like showing related products after a user reads a blog post or reminding them of cart items with a discount if they didn't check out. 
2. Audiences based on purchase history can highlight related products to past purchasers or remind cart abandoners of their items. 
3. Content consumption audiences, such as those who read certain articles or watch videos, can receive recommendations for advanced guides or in-depth videos. 
4. Lastly, engagement level audiences, whether highly engaged or not, can be targeted with exclusive content or special discounts to drive further interaction.

2. What kind of audiences will you use for real-time personalization for the email channel?

For real-time email personalization, various audience types can be highly effective. 

1. Behavioural data audiences, like recent purchasers, can receive follow-up emails with product recommendations based on their recent purchases.while cart abandoners can be sent reminders with items left in their cart along with a discount to encourage completion. 
2. Engagement data audiences include high engagement users, who should receive exclusive offers due to their frequent interactions with emails, and low engagement users, who could benefit from re-engagement campaigns with special incentives.
3. Demographic data audiences allow for tailoring email content based on geographical locations, such as local store events or region-specific promotions. 
4. Audiences based on recent website behavior, like those who browsed specific categories, can receive emails featuring products from those categories. 
5. Finally, purchase history audiences, including repeat customers, can be offered loyalty rewards, while first-time buyers might get thank you emails with a discount on their next purchase

3. I am saving an audience that looks at an offline batch purchase dataset, why can I not save it as streaming?

An audience based on an offline batch purchase dataset cannot be saved as streaming because of differences in data processing and real-time capabilities. Offline batch data is collected and processed at specific intervals, such as daily or weekly, representing historical data rather than real-time information. This batch data has a natural delay due to the time required for collection and processing, making it suitable for historical analysis and trend identification but not for immediate actions. 

@vinodk21837476 

[VKannan17]

@amritakediaAdobe Any weekly quizzes for this week? And could you please provide feedback for my above response?

[amritakediaAdobe]

Thanks for you reply, Very detailed answer. I will post Quiz for this week shortly

1. What kind of audiences would help me achieve same page and next page personalization? Answer: Edge Audience

2.What kind of audiences will you use for real-time personalization for the email channel? Answer: Streaming Audience

3.I am saving an audience that looks at an offline batch purchase dataset, why can I not save it as streaming? Answer: Because the Dataset is not not getting data in streaming fashion.

 

[AlexisSh1]

Has the week 2 quiz been posted?

[amritakediaAdobe]

Answers.

1. What kind of audiences would help me achieve same page and next page personalization? Answer: Edge Audience

2.What kind of audiences will you use for real-time personalization for the email channel? Answer: Streaming Audience

3.I am saving an audience that looks at an offline batch purchase dataset, why can I not save it as streaming? Answer: Because the Dataset is not not getting data in streaming fashion.

[NimashaJain]

50% waive off Voucher Form!!

You have to submit your request here and you will have the chance of winning! Please fill out this form by August 19th, 2024

Best of luck!