Informing e-commerce product and market strategy for a legacy lock brand

Timeline

3 weeks

Role

Quantitative Market Researcher

Team

Research Operation
Data Scientist

Methods

Survey
VoC (Voice of the Customer)
Competitive Analysis

TL;DR

I stepped in as an intern to take over this project after the lead researcher left unexpectedly. With the research methods set and the survey already designed, I partnered with Research Operation to recruit participants, cleaned and analyzed e-commerce data to inform product positioning and competitive analysis, and analyzed survey data to uncover customer needs. I turned the findings into a 24-page deck and presented it directly to the CPG client.

Client's Ask

How could a legacy lock brand stay competitive in a market shifting toward smart locks?

The client, a traditional lock manufacturer, was seeing sales of its mechanical door locks decline as smart locks gained ground.

3D padlock with fingerprint and password symbols, showing mechanical locks meeting smart locks

Challenge

Uncovering both the what and the why with mixed methods on a tight timeline

Research Question 1

Where do the client’s products hold a competitive advantage?

E-commerce Data AnalysisConjoint / Pricing StudyListing A/B Testing
Time & cost
Built on existing e-commerce data, low cost
Complex to design and analyze
Needs store access, each test runs for weeks
Generalizability
Covers the whole category across platforms
Quantifies trade-offs at scale
Limited to the client’s own listings and shoppers
Depth of insight
Shows what sells, not why
Preferences, not motivations
Real purchase behavior, but only tests known ideas

Research Question 2

Which customer needs remain unmet by current products?

VoC (Voice of the Customer)SurveyUser InterviewsFocus Groups
Time & cost
Fast to collect and code reviews
Fast to field through the firm’s established panel
Slow to recruit and schedule
Costly to run and moderate
Generalizability
Thousands of real reviews
Large sample, results generalize
Small sample
A few groups of 6 to 8 people
Depth of insight
Unprompted, in customers’ own words
Shows what, less of why
Rich context behind decisions
Group dynamics can skew answers
Survey (N=492)

Recruiting

Partnering with Research Operation on the screener and recruiting message

Screener

Respondents qualified if they:

  • Bought a mechanical door lock online in the past 12 months
  • Did not work in the lock, security or market research industries

Quotas balanced:

  • Gender
  • City tier
  • Household type (single, couple, family with kids, multi-generational)
  • Income level

Recruiting Message:

We’re looking for people who bought a door lock online in the past year to share their experience. The survey takes about 10 minutes, and you’ll receive [incentive] for completing it.

Your responses will be kept strictly confidential and used only for this study. Only the project team will have access to the raw data, which will be kept for two years.

Analyzing

Partnering with Data Scientist on significance testing

Crosstab of purchase decision factors by age, household income and room, with significant differences marked by column letter

Banner Table

Answers to each multiple-choice question were compared pairwise across user segments. A red letter after a number means that column’s percentage is significantly higher than the column with that letter.

For example, 57BC means 57% of under-25s chose feature, significantly more than the 25–34 (B) and 35–44 (C) groups.

Challenge

A table like this runs a large number of pairwise comparisons. At 95% confidence, about 5% of them will come out significant by chance alone.

So a stray significant result or two shouldn’t be over-read. The stronger signal is a consistent pattern, or a result that other data can confirm.

Key Insights

  1. 01Customers prioritize a quiet lock and easy installation.
  2. 02Needs are shaped by the room the lock is used in.
E-commerce Data Analysis

01Retrieve

  • Past 12 months of data
  • Client brand and competitors
  • Mechanical door lock SKUs

02Calculate

  • Annual sales revenue
  • Year-over-year growth rate
  • Breakdown by price tier and product feature

03Analyze

  • Price tiers and features with high sales
  • Price tiers and features with high growth

Key Insights

  1. 01Higher-priced products are growing faster.
  2. 02Premium products earn their price through design and materials.
VoC (Voice of the Customer)

Material

  • Stainless steel
  • Aluminum alloy
  • Thermal-break aluminum
  • Solid copper
uPVC Titanium-magnesium alloy Brass Solid copper Antique bronze Thermal-break aluminum Zinc alloy Square steel Stainless steel Pure copper Bronze Aluminum alloy Brass Pure copper Zinc alloy Antique bronze Square steel Solid copper Bronze

Function

  • Anti-theft
  • Silent
  • Magnetic
  • Invisible
Safety Keyless Adjustable Magnetic No drilling Smart Anti-pry Concealed lock Automatic Anti-theft Passcode Custom Fire-resistant Fingerprint Silent Waterproof Invisible Installation included Safety latch

Scene

  • Bedroom
  • Bathroom
  • Room
  • Restroom / shower room
Restroom Basement Office Bathroom Indoor Toilet Kitchen Shower room Bedroom Front door Room Outdoor Home use Bath Kitchen Toilet Room Home use

Impact

Informed 5 product directions

The findings shaped five product directions for the client’s mechanical lock line.

Shifted e-commerce ad strategy

The findings prompted the client to change how it advertised on e-commerce platforms.

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