market research agencies in mumbai

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Related Case Studies

Concept validation of medical supplies procurement software

Concept validation of medical supplies procurement software

Objective

  • A software development firm wanted to conduct a deep need-gap analysis to understand the pain points and purchase preferences of a specialized group of buyers 

Methodology

  • Conducted in-depth consumer interviews (N = 50) across prospective buyer groups of different sizes to establish different customer segments and identify their pain points and purchase preferences 
  • Conducted quantitative survey (N = 200) across 5 cities to understand hospitals / medical centres pain points and product features that customers deemed necessary in procurement software 
  • Conducted A/B tests for the beta version of the product (N = 25) across 5 cities for the established customer segments on a one-on-one basis or in a focus group setting to receive feedback on the product 

Impact / outcome

  • Client could identify the key purchase criteria of hospitals for the procurement software 
  • Client was able to understand user preferences on various product attributes thus feeding into quality product features 
DeepTech sector scan

DeepTech sector scan

Objective

  • A large PE fund wanted to understand the whole DeepTech landscape to find a potential target that is a perfect fit for their investment thesis, meeting both commercial and social impact benchmarks

Methodology 

  • Dissected the whole DeepTech landscape into 24 sub-sectors, eliminated 8 sub-sectors which didn’t align with the investment thesis 
  • Prioritized the remaining 16 sectors based on a ~40 criteria scorecard 
  • Prepared a detailed landscape for all the sub-sectors by clustering the players logically 
  • Studied the deal flow, unit economics to highlight the potential targets who were at the right stage in their journey to fit into the fund’s investment and exit objectives

Impact / Outcome

  • Helped client understand the DeepTech landscape along with potential opportunities in line with their investment thesis
Estimating loyalty and causes for churn

Estimating loyalty and causes for churn

Objective

  • Investor in Player X (portfolio company) wanted to estimate loyalty and causes for churn among the paid users of the EdTech app

Methodology

  • Survey & in-depth interviews were undertaken for users of different exams (UPSC, IITJEE, Banking / Railways) to find the reasons for churn?
  • Helped the client with a detailed understanding of the ‘reasons for the subscription of the paid version of the app’?
  • Built recommendations for customer retention while acquiring new customers

Impact / outcome

  • Identified detailed reasons for app subscription and reasons for customer churn / non-renewal 
  • Quantitative insights across exams / city types were reinforced through in-depth interviews of respondents
Market assessment of AI based construction start-up

Market assessment of AI based construction start-up

Objective

  • A leading conversational messaging platform wanted to understand the sentiments of the customers and the suppliers through their respective journeys 

Methodology

  • In-depth interviews (N = 30) with 2 Target companies’ suppliers to understand the value proposition, pain points, brand awareness, customer stickiness, tech adoption, customer support, etc  
  • Conducted customer surveys (N = 50) to understand the quality, availability, pricing, and payments, consistency, category depth, customer support, etc

Impact / Outcome

  • Successfully provided client with a deep understanding of customer and supplier behavior, major drivers, pain points with the help of mapping their journeys
Understanding purchase behavior and price sensitivity

Understanding purchase behavior and price sensitivity

Objective 

  • The client wanted to understand the customer perception, user behavior & trends, and their price sensitivity

Methodology

  • Conducted a customer survey (N = 1,500) and IDIs (N = 10) with users of the target platform along with (N = 1,000) and IDIs (N = 30) with users of competition platforms to understand awareness, usage, and key selection criteria
  • Understood customer buying frequency, average spend, and NPS 
  • Evaluated price sensitivity of the buyers and end-use trends of heavy spenders 

Impact / outcome

  • Successfully provided the client with a deep insight into the different behaviors exhibited by customers across different spend ranges
User survey for Conversational Messaging Platform

User survey for Conversational Messaging Platform

Objective

  • A large conversational messaging platform in India wanted to undertake a customer survey to conduct pre & post-campaign evaluation that helps them understand the impact of the campaign and recognize brand perception among customers 

 Methodology

  • Conducted a survey with N = 900 users of Conversational Messaging Platform (across 7 metro cities and 4 tier 1 & smaller cities) to get insights on their brand awareness, usage, experience, and content consumption 
  • Discovered insights on various online platforms’ content consumption by their customers to improve the efficiency of marketing campaigns over different platforms 
  • Studied ways to improve brand awareness among the users

Impact / Outcome

  • Successfully provided customer awareness across platforms, and Target company’s campaign awareness 
  • Assessed customer’s usage & transaction preferences and experience with the target platform
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