MMS.IND
LSI Micro-Marketing Service India Private Limited
India Consumer Data Solutions
Customer Enrichment
Income, Expenditures
Product Purchase Affinities
Consumer Lifestyle Affinity
Consumer Data
3rd Party Consumer Data
for
Programmatic Digital Advertisement
Micro Marketing
Real micro-marketing
supported by
Individual Residential Building precise Consumer Data
&
Tools for location analytics
Decision Making Support for total the country
Information available across all 35 States and UT's
Urban and Rural Geographies
Customer enrichment
We provide profiling of Individuals on income, customer lifestyle affinity, expenditure in various spend categories and product purchase affinities.
Reach with highest precision target audiences with digital campaigns based on off and online information collected about consumers.
Maximise your efforts in up-sell / cross-sell campaigns, executed offline and online, knowing customer net worth and product purchase behaviour.
local intelligence - Micro Market Segmentation Down to Building precision
MMS.IND provides precision information about number of population and households, their consumer profile by income, expenditures, product purchases and lifestyle affinity down to individual residential buildings (bypassing PIN Code- / Locality-level sample surveyed market potential estimates).
Do location analysis for optimising and scaling your distribution network (Urban and Rural), Product Mix by understanding precisely store catchment consumer profiles, Store / Outlet performance Benchmarking - evaluating sales against store catchment area potential including competitor pressure, Precision BTL Marketing and Sales Support for maximum campaign ROI.
Geospatial Analytics supporting Loan Applications
Loan providers including traditional banks and new-age Non-Banking Financial Companies are today very cognisant about the connection between location and creditworthiness and try to maximumly exploit to great lengths to minimise the risk on their end.
Especially in digital loan approval, in the absence of income documentation and even credit score of the loan applicant. But,
- PIN Code territories are too diverse in profile of residing population to be judged as ‘one’ type of loan behaviour.
- Typical negative loan behaviour (historical defaulting, high crime, difficulties in collections etc.) clusters in pockets, much smaller than PIN Codes: Only possible to identify by geospatial analysis.
- Even outside of historical negative loan behaviour PIN Code pockets, the profile of loan applicants is different hence different behaviour to be expected.
MMS.IND helps you to enhance your (digital) loan approval processes by:
- Breaking up PIN Code territories into micro-markets of historical negative loan behaviour
- Enhancing applications by geospatial micro-market population affluence score (income classes)
- Breaking down PIN Code territories into pockets of homogeneous residential population by profile
- Receive negative area flag and income profile on loan applications from micro-market precision
Supply Chain Optimisation
MMS.IND micro-market data yields precise information about Urban and Rural markets segmented by number of population and households, demographics, lifestyle and income, professional groups, slums, etc.
This enables you to respond rapidly with supply chain optimisations to the changing product purchase behaviour of consumers.
consumer behaviour trends - changes in the market (cv-19 crisis management)
Companies see their products sell differently pre- and post CV-19 impact. We at MMS.IND build CV-19 impact scenario maps, which together with our micro-market datasets provide the possibility to do robust analytical modelling and visualise demand forecast results in a dashboard.
Winning Customers back to your stores
Offline targeting: You can conduct sharp targeted their local marketing activities to their target audience without 'overspill' knowing down to residential building precise the customer income, lifestyle and product purchase behaviour.
Online Targeting: MMS.IND offers with partner agencies the possibility to reach in digital advertisement consumers from highly selected target micro-markets within a store catchment area.
More about our consumer data solutions ...
Location
Analysis
Selecting across 4,000 data supported Urban cities and towns the right ones to target, and then within the city choosing store locations at a micro-level.
Analyse existing store / branch locations on market potential, which optimal products to offer, and support of marketing and sales activities and more.
Find the right
Target Audience
12 Lifestyle Affinity Segments, 10 Income Groups, 09 Expenditure Classes and 40+ Product Purchase affinity Segments.
Analyse your best target groups, identifying through data analytics which customer lifestyle - income - expenditure combinations are your highest potential sales segments. Identify them in your own customers, prospects and down to building precision in markets.
Increase customer value - identify the right product proposition
Profile your own customers and prospects to identify their individual income levels, lifestyle, expenditure behaviour and product purchase affinities.
Run hyper-targeted product campaigns for maximum ROI, infuse segmentation into digital advertisement to reach profile and geolocation precise target groups.
discussing solutions ...
