International Fieldwork

Global Cost-of-Living Data Collection Across Five International Markets

A hybrid online-first, fieldwork-second model that standardized 110 pricing items across Jakarta, Santiago, Athens, Tokyo and Singapore.

· 3 min read

Project snapshot

5 international markets · 110 pricing items · Online + local fieldwork

The Challenge

A global cost-of-living research client needed reliable pricing data collected across five international markets: Jakarta, Santiago, Athens, Tokyo, and Singapore.

The research covered 110 pricing items across multiple product and service categories, with every data point required to follow a highly controlled format so it could be imported directly into the client’s data system.

The challenge went far beyond finding prices.

Data had to remain consistent across countries with different currencies, product sizes, brands, taxes, retail environments, and levels of online price availability. Requested brands were not always available locally, while seemingly minor formatting differences, such as currency symbols, commas instead of decimal points, or altered spreadsheet structures, could cause automated imports to fail.

At the same time, sending researchers into the field for information already available reliably online would increase both cost and turnaround time.

How We Overcame It

Instead of treating every location as a traditional fieldwork assignment, we developed a more flexible international data-collection model.

Online-first, fieldwork-second approach: We prioritized reliable online pricing wherever possible and used local fieldwork specifically to close missing-data gaps. This prevented unnecessary duplication and focused fieldwork resources on information that genuinely required local collection.

Strict data-standardization controls: We introduced clear formatting rules covering decimals, currencies, units, product sizes, comments, and spreadsheet structure. Templates remained unchanged so completed data could move directly into the client’s automated import process.

Localized product and brand validation: When requested brands or products were unavailable, researchers first searched for comparable high-quality alternatives. Substitutions, significant size differences, taxes, and mandatory charges were documented clearly rather than allowing inconsistent assumptions across markets.

Structured quality assurance: A final fieldwork checklist was introduced to verify template integrity, numerical formatting, item quality, and supporting comments before delivery.

The result was a hybrid methodology combining centralized online research with targeted local data collection rather than relying exclusively on either approach.

Tools & Research Methods Used

Microsoft Excel: Client-provided offline templates were used to capture and standardize pricing data while maintaining the exact structure required for automated import.

Online Research: Reliable retailer, product, and market information was sourced online first to reduce unnecessary fieldwork and identify the specific gaps requiring additional research.

Local Fieldwork: Local researchers were used where reliable online information was unavailable, allowing Ethos to fill market-specific data gaps without duplicating information that could already be verified digitally.

Structured QA Checklists: Final validation controls were used to check numerical formatting, template integrity, substitutions, product quality, and supporting comments before delivery.

Results

✅ Successfully supported data collection across 5 international markets

✅ Standardized 110 pricing items across different currencies, brands, product formats, and local market conditions

✅ Created an import-ready data structure designed to protect automated processing

✅ Reduced unnecessary fieldwork by prioritizing reliable online data before deploying local resources

✅ Established clear substitution and validation rules for unavailable brands and products

✅ Created a repeatable hybrid framework that can support additional markets and more frequent collection cycles

Project Timeline

The Cost-of-Living program operates around recurring international fieldwork cycles:

April Release: Fieldwork typically runs from mid-to-late January through early March.

December Release: Fieldwork typically runs from October through November.

Additional Data Collection: Extra fieldwork may be activated in markets experiencing significant inflation, price volatility, or rapid economic change.

The longer-term model is designed to evolve from twice-yearly collection toward a more regular quarterly research cycle as the international partner network expands.

Key Takeaway

International cost-of-living research is not simply about collecting prices, it is about making data collected in completely different markets comparable, consistent, and usable.

By combining online sourcing, targeted local fieldwork, strict formatting standards, and structured QA, we transformed a complex multi-market collection exercise into a scalable methodology.

For future cost-of-living studies, the model is simple: source reliable data centrally, identify the gaps, and deploy local expertise only where it adds value.

Methodology Tags: International Fieldwork | Cost-of-Living Research | Pricing Data Collection | Online Research | Data Standardization | Quality Assurance

Tools Used: Microsoft Excel | Online Research | Online Survey Links | Local Fieldwork | QA Checklists

Project Snapshot: 5 international markets | 110 pricing items | Online + local fieldwork hybrid model

Timeline: February -March fieldwork cycles

Work With Ethos Market Research

Ethos Market Research runs international data collection and fieldwork programs that turn complex multi-market requirements into consistent, usable data.

Call 1-800-525-4134, email bids@ethosmr.com or request a quote to talk about your next study.