Geomarketeer is a granular market segmentation analysis tool. It
supports companies in India with geo-location-based intelligence,
using micro-market-focused data and tools to sustainably grow
their business. By delivering this information on the Software as a
Service (Saas) platform, Geomarketeer allows organizations of
any size to quickly get started with market research and
data-backed insights.
By subscribing to the platform, marketers can sit in the office and understand every nook
and corner of the country:
Visualise, analyse and understand relationships on micro-segmented geographies by market potential and profile of your customers in them
Experience patterns and trends in India consumers and their geographical relation.
Easy-to-use Online System
Subscription to geographies you need
'Private Room’ - Users create their own private access login: No third party involved for analytics, or having access to user‘s data space
Data queries in real time
Uploading Data: Analytics networking company own and external market data.
Generate location reports
1. Superimpose on mapped own sales by locations / customer spread, depicted potential customer density- in total or in different target groups by consumer behaviour.
2. Define and analyse shopper profile of individual store catchment areas, not limited to administrative territory segregation (PIN Codes, Localities, etc.)
3. Describe customer density according to di erentiated consumer pro le criteria and locate target groups; identify high potential local markets to target
4. Show market potential by actual sales potential, not limited to compare only own sales by locations with or without competitor sales
5. Run correlation analyses to determine which market characteristics relate to customer density, i.e. what are my best customers / markets genetics, hence identify across the total country high priority local markets to target.
6. Customer-Product A nities: Understand WHERE – to a residential building precision is the right target for a speci c product
7. Product Demand: know the demand of your product to keep the right stock.
8. Interface to media: addresses / book digitally
Customer Enrichment by Consumer Profiles
Karma is a product that enhances individual customers by
consumer profile of income, lifestyle affinity, and expenditure
behavior for deeper client profile understanding. It supports sharp,
targeted up-sell and cross-sell campaigns.
Define your target customer archet ype to better target your products.
Understand the spending capacity and affluence of an individual customer or prospect.
Understand 1:1 who your customer is and take it forward accordingly
Consumer lifestyle affinity or psychographic segmentation decodes the psychological aspects influencing consumer purchase behavior.
It explains attitudes towards what products and services a person will value and spend money
for.
Kentrix uses data experiences of more than 80 different collection touch-points –
transaction-based data, household survey, and qualitative market research data in AI-driven
calculations to cluster people by similar product/brand purchase behavior into 12 major lifestyle
classes.
More than 40+ consumer profile variables get appended in real-time :Income // Lifestyle Affinity
// Automobile // Insurance / Investment // Consumer Goods // Health Insurance // Home Interior
// Personal accessories // White Goods / Brown Goods // Electronic Consumer Goods:
Smartphone / Computer, Laptop / Tablet // Real Estate // Apparel // Food // Travel // etc.
Early Risk Identification for default behaviour in financial products, such as loans – cards/credits, can help lenders. With Segura, they will be able to utilize customer consumer profile identification based on income, psychographics, and product purchase
behaviour patterns in all relevant categories.
How to judge in the absence of income documentation, credit score, etc. a financial product
applicant in real-time? The Situation Banks / Lenders often have negative PIN codes based upon
historical delinquency experience, where they may not lend. If the applicant bears the same address
as someone who has been a defaulter for either loan repayment or credit card dues, the chances of
loan rejection increase.
PIN Code territories are too divisive in profile of residing population to be judged as ‘one’ type of loan behaviour.Today one can observe even different loan behaviour among ‘traditional’ negative PIN Codes.Typical PIN Code ‘negative (sub-)areas’, such as high crime, difficult collection pockets will be used by all players in the industry – and alone will not yield a cutting competitive edge.
Enhancement of applications by monthly household-level income based on residential building precise consumer data.Add geospatial creditworthiness scores from traditional negative rated areas.Breaking PIN Code territories into homogeneous residential population profile pockets.
A valuable mechanism for ‘New to Credit’ customer selection
Unit no. 03, 10th Floor, Awfis R City Offices, Amrut Nagar Road, LBS Marg, Behind R City Mall, Ghatkopar(West), Mumbai – 400086, Maharashtra
