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- D2C Brands → Data ← Online Consumers
D2C Brands → Data ← Online Consumers
The importance of DATA in 2024 for consumer-centric brands, to improve Customer Experience across Pre-purchase, Post-purchase, and Post-delivery stages
A regular dose of D2C-centric resources & tools for Growing Brands, Startups & Entrepreneurs.
D2C Brands → Data ← Consumers
Data is directly proportional to ‘Retention’
Because with the right information, optimisation can soon follow, and then comes increased consumer satisfaction..
Data collection is important for several reasons:
Better understanding of customers: This can help brands better understand their customers and create products and services that meet their needs and preferences.
Improving marketing and sales efforts: By analysing data about customer behaviours, brands can tailor their marketing and sales efforts to better reach and convert potential customers.
Improving the customer experience: Collecting data about how customers interact with a brand's products and services, brands can identify areas for improvement and make changes to enhance the customer experience. This can include things like streamlining the checkout process, improving the functionality of a website or app, or providing better customer service.
Identifying new business opportunities: Brands can identify new opportunities for products and services that meet unfulfilled needs or demand in the market.
☝🏼 That’s just the gist of why Data is quintessential.
👇🏼 Data collection comes next, which can be split into stages/criteria
Conversion Funnel
Geography, and
Individual (the consumer)
NOTE: Before we get into it, FYI, Pragma compiles the information of them all - from 500+ brands. Meaning, we optimise every individual D2C Brand by studying 500+ others!
Understanding which stage of the funnel a potential customer/lead is at, the brand can optimise strategy for campaigns, updates, advertising channels etc.
1. Education & Awareness stage
2. Interest and Consideration stage
3. Action stage - Transition or conversion
Based on which you can selectively highlight:
Product information: This includes details such as the price, features, and specifications of the product.
Customer reviews: Reading reviews from other customers can help you get a sense of the product's quality and whether it meets the needs of other people who have purchased it.
Comparison shopping: Comparing the price and features of similar products from different sellers can help you make an informed decision about which product to purchase.
Availability: It's important to know if a product is in stock or if there will be a delay in shipping.
And more.
2) Geography
Understanding sales based on the city/state/country is crucial to know…
What product sells where
Which area has most returns, cancelation and more
Where do you spend most in terms of logistics etc
With a brand’s internal data along with Pragma’s 500+ brands - one can find new opportunities i.e. new regions that can be targeted.
And these factors help brands understand
Which carrier partner is most suitable for them
Are there any cheaper/viable logistic services available
Would multiple carrier partners be a better choice
What inventories could be shutdown or optimised
Where similar audience base reside etc
Understand the individual and personalise!
a) Communication Data
Offer real time communication on orders. Connecting the consumer to the brand and the carrier partner, avoiding RTO/NDR
Run A/B testing campaigns on different audience segments, to hyper personalise further
Improve purchase forecasting with demography, geography, and other data
b) Behavioural Data
Product usage data: Keeping track of how you use the product can help you get the most out of it and identify any potential problems or issues.
Customer feedback: Providing feedback about your experience with the product and the seller can help improve the overall customer experience
Web analytics: By tracking and analysing data about how customers interact with an e-commerce website, companies can identify patterns and trends that can help them optimise the site for a better customer experience.
c) Cross platform Data
Customer service data: Data collected through customer service channels, such as social media, email, and chat, can provide valuable insights into customer needs and concerns.
Trigger cross-selling sales plays with help of intelligent product recommendations on the final most parts of the customer journey like shopping cart, order summary pages, etc.
Bonus: Checkout our Bite-post on why CDP or Customer Data Platform is essential
That’s the end of our talk on 'Maximising D2C potential with DATA'...
See you on the next coffee date!
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