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Build the right customer segments
Gain the ability to segment data and build intelligence for seamless data insights that make your job as a business owner easy.
When you choose clean and structured data powered with ML & AI, you reduce the time it takes your data experts to build intelligence on data from disparate sources.
Get a panoramic view of your customer's journey
In a world where marketers spend billions in wooing their customers, how will you stand apart?
Get to know your customers and their entire journey with an end-to-end solution. Predict your customer's next move with pre-built analytical models which are customizable and simple to use.
Get the bugs and
loopholes in real-time
A retailer's nightmare? Abandoned cartsWhy do your customers abandon carts online or offline? What is it that makes their journey difficult? Is there something your competitor has been doing that you oversaw?
What is a Knowledge Graph
Enabled Customer 360 Solution?
This is an era where companies are looking to build superlative customer experiences to facilitate long-term brand loyalty. Having a robust data management platform like DataBlaze can provide an integrated view of the customer journey and build this superior experience.
Customer 360 provides a contextual view and understanding of your customer's journey from multiple views. Our pre-built analytical models provide deeper customer insights and allow better business decisions.
for channel contribution
Use data and automation to effectively determine which ads, content, and engagements received more credit for the interaction.
The algorithmic attribution model ensures credit is not being unfairly weighted towards specific pieces of content. It helps examine their journey and attempts to assign credit, based on data, to different pieces of content in the funnel.
- This method helps you pin down every channel's proficiency over a time span and identify underperforming ones.
- It helps you evaluate the performance of each click and interaction
Top brands make crucial decisions based on the analytical recommendation model. So we have pre-built it for you!
Let DataBlaze take care of the modelling while you make the right decisions. Voila! You have loyal customers.
- A recommendation engine helps bring traffic to your site
- The volume of data required to create a personal shopping experience for each customer is too cumbersome to be managed manually. Automation eases the process of structuring the data and creating varied recommendations.
- Providing reports to clients can generate insights for slow-moving products to create a drive in marketing and sales for those products.
RFM Model for
Understand and segment shoppers down to the store level to run more effective local advertising and product features.
Change the attributes of your CLTV per selling season or sale cycle to understand the value of seasonal shoppers. The trusted Recency, Frequency and Monetary model is a marketer's potion.
- Increased customer retention.
- Improved response rate.
- Elevated conversion rate
- Inflation in revenue.
for Customer Segmentation
Retaining a customer's interest for a long while is challenging. Probabilistic customer segmentation is a favored method to predict customer behaviour and tailor your marketing campaigns based on those predictions. The only trouble? The analytical model takes months to build—DataBlaze automates that task for you.
- Marketing efficiency: Identification of your target audience quick and easily. Campaigns can be launched for the most relevant people using the most relevant channel.
- Enrich your records: Easily find and analyze the data for segmented customers using interactive charts and graphs without a need to create complex algorithms.