market research agencies in mumbai

What We Do

  • Customer segmentation
  • Customer needs assessment
  • Sector scan
  • NPS diagnostic
  • Voice of Customer
  • Customer purchase journey
  • Competitive intelligence
  • Property owner benchmarking
  • Category trends
  • Voice of channel
  • Unit economics benchmarking
  • Target screening and diligence

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Related Case Studies

Benchmarking of co-living survey basis NPS and value proposition to homeowners

Benchmarking of co-living survey basis NPS and value proposition to homeowners

Objective

  • A multinational investor was looking to identify a potential investment target in the booming student housing and co-living market in India 
  • Client wanted to understand the strength of co-living companies’ value proposition & NPS to customers and real estate homeowners who supply properties to these companies

Methodology

  • Conducted in-depth interviews (N = 40) of real estate suppliers of 5 organized players 
  • Created discussion guides to understand NPS, perception, selection, and current experience w.r.t. earnings, relationship, yield, etc.
  • Created a set of parameters to shortlist the most lucrative company among competitors for an investment opportunity

Impact / Outcome 

  • Successfully provided client with comprehensive study benchmarking student housing and co-living players with deep insights including NPS on supply aspects to enable the firm to identify an attractive investment target
Blue collar workers sub-segmentation to understand value proposition for a major real estate tech player in India

Blue collar workers sub-segmentation to understand value proposition for a major real estate tech player in India

Objective 

  • Client wanted to segment blue-collar workers into different archetypes and understand their living habits and housing spend

Methodology

  • Conducted in-depth interviews (N = 150) with blue-collar workers to assess their monthly income and expense on rent and ancillary services, their expectations, and aspirations to segment them into different personas 
  • Conducted top-down market sizing approach using migrant population of blue-collar workers and their willingness to stay in co-living set-up 
  • Conducted secondary research via leading news publications, market reports, government databases, etc 

Impact / Outcome

  • Client was able to focus on blue-collar workers below a certain age as they are more likely to opt for co-living 
  • Client could understand that hygiene, rent & sanitation facilities are the 3 most important criteria for blue-collar workers to opt for co-living
Competitive intelligence tracking of co-working players

Competitive intelligence tracking of co-working players

Objective

  • A co-working player in India wanted to understand unit economics of key competitors in the co-working space 
  • The player also wanted to know details like carpet area of centers, seat density and occupancy

Methodology 

  • Conducted in-depth interviews (N = 40) of stakeholders (managers, community managers & employees) across 5 workspace providers in 3 different cities (Delhi NCR, Mumbai & Bangalore) 
  • Created unit economics model to benchmark key competitors in the co-working space 
  • Conducted deep level secondary research via sources like player websites, leading news publications and online reports

Impact / Outcome

  • Successfully estimated unit economics of key competitors of the client 
  • Client was also able to understand other details like total workspace areas of key competitors, occupancy, and seat density 
Customer behavior research of co-living players across India

Customer behavior research of co-living players across India

Objective

  • An investor wanted to understand the co-living market in India with a deep focus on key players and the value proposition to its customers
  • Client also wanted to deep dive into behavior of students / young professionals residing with co-living players
  • Full-spectrum market survey with existing co-living and student housing customers to top 5 organized players along with other unorganized players in the market

Methodology

  • Conducted a deep survey (N = 480) with customers of top co-living players(organized and unorganized players) in India
  • Created survey questionnaire to understand the service portfolio and terms of engagement, key purchase criteria, the overall experience on key parameters like food, security, location, housekeeping, infrastructure, etc., NPS, and renewal propensity of customers 
  • Created an excel data book for seamless and efficient capture of insights derived from the survey 

Impact / Outcome

  • Successfully provided the client with comprehensive study benchmarking student housing and co-living players with deep insights on demand aspect (students / young professionals) to enable the firm to identify an attractive investment target
Customer NPS track for a major co-living player in India

Customer NPS track for a major co-living player in India

Objective

  • A major co-living player in India wanted to understand the customer NPS, key retention drivers, and renewal propensity of its target segment across several micro-markets in India

Methodology  

  • Conducted a deep survey (N = 4,000) with customers of co-living players per quarter across key micro-markets in India 
  • Finalized N per micro-market basis # beds in each micro-market for optimizing the survey N
  • Created a robust excel data book to capture data derived from the survey which primarily included - NPS, retention drivers and renewal propensity of the consumers, and trends by regions & micro-markets

Impact / Outcome

  • Client was able to understand its positioning to the consumers and how to improve customer retention on an India level, regional level as well as the micro-market level
Student housing customer experience study

Student housing customer experience study

Objective

  • An Indian PG accommodation player wanted to understand customer satisfaction level, favorable price points, required service / offering model in each, and current needs and pain points

Methodology

  • Conducted quantitative in-depth interviews (N = 250) of student residents (across metros & tier 1 cities) 
  • Conducted in-depth interviews (N = 30) of ground personnel handling ops, student complaints, etc.  
  • Created deep level discussion guides to understand customer satisfaction levels, aspirations, KPCs & pain points
  • Created transcripts to capture voice of the stakeholders and enable seamless capture of key insights 

Impact / Outcome

  • Client was able to understand the customer journey of the target segment and the set of specific services required to provide enhanced experience 
  • Client also understood current needs and pain points of the student residents, thereby realizing how its own offerings need to be customized in order to meet target requirements
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