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Data & Content Strategy:
A Perfect Marriage to Drive
Engagement
2022
Data Analysis
Personali
-zation
Channel
Segment
4. Analyzing Data
Accuracy of performance
data, cohort behavior,
insights from data viz.
5. Content Personalization
Content personalization
based on app behavior or
personal data
1. Customer Data
Data granularity of the
customer choices made
on the purchase journey
3. Communication channel
Reachability & suitability
of channel
2. Customer cohort &
segmentation
Ṟelevancy & accuracy
of the customer
segment
Promotional Communication Framework
The following choices are made during the purchase journey:
✓ Size/colour/material of the product
✓ Style definition of item bought (Tshirt : printed, chequered,
plain, collared/round neck, etc)
✓ What new trend is s/he looking for?
Customer Behaviour & Data Granularity
Capturing customer purchase decision data
● Granularity of the data
● Accuracy of the data
Better personalized
communication
Better customer preferences
captured
Better customer
segmentation
Choosing the Right Customer Segment
A segmented communication gives 3x higher CTR compared to non
segmented one.
Onboarding
Product consideration
Purchase finalization
Post Purchase
Order Placed
Segmentation types
Personal info
Browse affinity
Cart upgrade/add-ons
Cross/Upsell opportunity
Customer lifecycle upgrade
Low visibility/ low
reachability
Right Channel Selection
Push Notifications
Email
SMS/RCS
WhatsApp
Web Push Notification
Reachability Response rate
Very high visibility
Low response/Low ROI
Engagement/better
content
high visibility/better
formats
Remarks
Channel
Notification Formats
● Dynamic images: User specific offer presented
on the notification image
➢ Dynamic % value offers
➢ Dynamic product image
Personalization & Tech Features
● Recommendation engine stitched to
communication
➢ Curated list of products
➢ More product information
Image Stitching on notification
Data accuracy
Attribution window
for conversion
End stage funnel
analysis
Deeper data cuts &
visualization
Campaign
improvement
feedback
Data clean-up
& processing
Campaign Analysis
1
2
3 4
5
6
Any Questions?
Thank You!

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Session 11_ Anil from Myntra _ Data and Content Strategy.pptx

  • 1. Data & Content Strategy: A Perfect Marriage to Drive Engagement 2022
  • 2. Data Analysis Personali -zation Channel Segment 4. Analyzing Data Accuracy of performance data, cohort behavior, insights from data viz. 5. Content Personalization Content personalization based on app behavior or personal data 1. Customer Data Data granularity of the customer choices made on the purchase journey 3. Communication channel Reachability & suitability of channel 2. Customer cohort & segmentation Ṟelevancy & accuracy of the customer segment Promotional Communication Framework
  • 3. The following choices are made during the purchase journey: ✓ Size/colour/material of the product ✓ Style definition of item bought (Tshirt : printed, chequered, plain, collared/round neck, etc) ✓ What new trend is s/he looking for? Customer Behaviour & Data Granularity Capturing customer purchase decision data ● Granularity of the data ● Accuracy of the data Better personalized communication Better customer preferences captured Better customer segmentation
  • 4. Choosing the Right Customer Segment A segmented communication gives 3x higher CTR compared to non segmented one. Onboarding Product consideration Purchase finalization Post Purchase Order Placed Segmentation types Personal info Browse affinity Cart upgrade/add-ons Cross/Upsell opportunity Customer lifecycle upgrade
  • 5. Low visibility/ low reachability Right Channel Selection Push Notifications Email SMS/RCS WhatsApp Web Push Notification Reachability Response rate Very high visibility Low response/Low ROI Engagement/better content high visibility/better formats Remarks Channel
  • 7. ● Dynamic images: User specific offer presented on the notification image ➢ Dynamic % value offers ➢ Dynamic product image Personalization & Tech Features ● Recommendation engine stitched to communication ➢ Curated list of products ➢ More product information Image Stitching on notification
  • 8. Data accuracy Attribution window for conversion End stage funnel analysis Deeper data cuts & visualization Campaign improvement feedback Data clean-up & processing Campaign Analysis 1 2 3 4 5 6

Editor's Notes

  1. Suggested content direction: How is D2C different from E-Commerce and how that difference plays well on the part of a D2C brand? (Aspects that brands can leverage while engaging their audience. For Ex: Complete control over end-to-end supply chain leads to much more data-points being captured and subsequently helping you create a more personalized shopping experience)
  2. Suggested content direction: How is D2C different from E-Commerce and how that difference plays well on the part of a D2C brand? (Aspects that brands can leverage while engaging their audience. For Ex: Complete control over end-to-end supply chain leads to much more data-points being captured and subsequently helping you create a more personalized shopping experience)
  3. Suggested content direction: “The anatomy of a fail-proof customer engagement campaign” Along the lines of Data & Segmentation, Messaging, Channel Selection, Analytics (You can create specific slides for each of these points, add numbers, throw in some quick hacks) Can we create a framework of sorts that our audience can tweak and use for their own benefit?