Consumer Green Purchase Intention Survey

This dataset captures comprehensive survey responses on consumer intention and motivation to purchase sustainable products, including demographic, attitudinal, and behavioral factors. It enables brands and researchers to perform market segmentation, identify barriers, and optimize product positioning for green products.

  • opened 6 times
  • last updated 5 Sept 2025
  • by GoMask
The brief that made it

Market segmentation for sustainable product campaigns

Sample rows

preview · 8 of 200 rows · all 17 columns
respondent_idstringincome_levelstringprice_sensitivity_scorefloatprevious_green_purchasebooleaneducation_levelstringsurvey_datedateageintegergenderstringcountrystringgreen_purchase_intent_scorefloatenvironmental_concern_scorefloatsocial_influence_scorefloatperceived_product_quality_scorefloatbrand_trust_scorefloatpurchase_channel_preferencestringmain_barrier_to_green_purchasestringadditional_commentsstring
RSP0001low4.7falsehigh school2022-02-1617maleIndia2.32.73.93.22.1onlineFamily does not buy green productsblank
RSP0002prefer not to say4.9falsehigh school2024-03-0261femaleBrazil1.51.82.92.61.5physical storeFixed income limits purchasesI must buy what is affordable.
RSP0003medium2.9truemaster's degree2023-10-2235femaleUnited States4.24.53.74.34.6onlineblankI choose brands with transparent sustainability policies.
RSP0004medium3.9falseassociate degree2023-08-1323non-binaryVietnam3.73.53.13.83.3marketplaceProducts are hard to find-
RSP0005medium2.7truebachelor's degree2022-05-2348maleCanada3.94.22.94.14physical storeblankGreen products are my preference when shopping.
RSP0006low4.8falseother2022-09-1059prefer not to sayNigeria1.82.12.22.31.9marketplaceLimited availability in my areablank
RSP0007high1.5truebachelor's degree2024-04-0829femaleUnited Kingdom4.74.64.54.84.9direct from brandblankI always prefer sustainable options regardless of price.
RSP0008low4.5falsehigh school2023-11-0422maleSouth Africa2.733.43.12.4marketplaceHigher price than alternativesblank

What the 200 rows show

from the 200-row sample

High (income level) stands out: mean price_sensitivity_score is 1.7, against 3.9 for the rest.

  • 51%previous_green_purchase = true
  • 3.1median price_sensitivity_score
  • 5genders
  • 5purchase channel preferences
  • 38median age
  • 3.7median green_purchase_intent_score
Mean price_sensitivity_score by income_level200 rows
0484.6low64 rows2.8medium67 rows1.7high42 rows4.7prefer n…27 rows
price_sensitivity_score200 rows, in bands of 0.5
040805311347661775135price_sensitivity_score →

Median 3.1, from 1.2 to 5.0.

education_level200 rows · 6 values
  1. high school56
  2. bachelor's degree46
  3. master's degree33
  4. associate degree28
  5. other19
  6. doctorate18
17 columns by typefrom the column list below
  • string 8
  • integer 1
  • float 6
  • date 1
  • boolean 1

Columns

17 columns in four groups
blueprint · 17 columns
columntypedescriptionexample
Text 8 columns
respondent_idstringUnique identifier for each survey respondentuniqueRSP0001
genderstringGender of the respondentmale · female · non-binary · prefer not to say · othermale
education_levelstringHighest level of education attained by the respondent6 valueshigh school
countrystringCountry of residence of the respondentIndia
income_levelstringIncome bracket of the respondentlow · medium · high · prefer not to saylow
purchase_channel_preferencestringPreferred channel for purchasing sustainable products5 valuesonline
main_barrier_to_green_purchasestringPrimary barrier preventing respondent from purchasing sustainable productsoptionalGreen products cost more
additional_commentsstringAny additional comments provided by the respondentoptional-
Numbers 7 columns
ageintegerAge of the respondent16 to 9917
green_purchase_intent_scorefloatRespondent's intention to purchase sustainable products (scale 1-5)1 to 52.3
environmental_concern_scorefloatRespondent's level of concern for environmental issues (scale 1-5)1 to 52.7
social_influence_scorefloatDegree to which social factors influence green purchasing (scale 1-5)1 to 53.9
perceived_product_quality_scorefloatRespondent's perception of sustainable product quality (scale 1-5)1 to 53.2
price_sensitivity_scorefloatRespondent's sensitivity to price when considering sustainable products (scale 1-5)1 to 54.7
brand_trust_scorefloatLevel of trust respondent places in brands marketing sustainable products (scale 1-5)1 to 52.1
Dates and times 1 column
survey_datedateDate when the survey was completed2022-02-16
True or false 1 column
previous_green_purchasebooleanIndicates if the respondent has previously purchased sustainable productsfalse

Use it for

  • previous green…51%101 of 200 rowsmean price sensitivit…4.6low2.8medi…1.7high4.7pref…

    A marketing dashboard

    The previous_green_purchase rate, price_sensitivity_score by income_level and a breakdown of education_level. Excel, Power BI or Tableau.

  • Why do the 42 high rows have a mean price_sensitivity_score of 1.7?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable respondents with survey_date, age and gender to fill a screen in front of a buyer.

Not quite right?

Make it yours.

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This dataset200 rows17 columns
Yours1,000 rows17 columnscountry: UK only

blueprint · consumer-green-purchase-intention-survey

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 17 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Include motivation and barrier options
  • Score intention strength
  • Group by demographic
  • Exclude personal data
  • Flag high-intent cohorts
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
consumer-green-purchase-intention-survey

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