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Ask less. Know more.

Survey and customer data enrichment powering research, AI analytics and buyer simulations.

What it is

Self‑Serve Data Enrichment

Quick Append is a self‑serve portal that extends the scope of research and AI analytics with Human Insights Data and geoTribes Segments either appended directly to your data files or summarised in Database Profiling reports.

Human Insights Data provides understanding of the factors underlying consumer choice, while the geoTribes Segments let you integrate your survey and customer data into a rich contextual picture that AI tools can work from to produce pen portraits, synthetic personas, buyer simulations and activation strategies.

geoGraph Matching System

Survey and customer files are matched to modelled statistical profiles of Human Insights Data held in our unique geoGraph Keys, each representing similar people.

A Holistic Consumer View

The appended segments and Human Insights Data give a layered view of your respondents and customers, from who they are to what they intend, ready for AI analytics.

Grounded AI Analytics

geoTribes and geoSmart Segments provide an integration framework for your own data and the Quick Append data, so AI analytics can draw on both.

A Direct Route to Market

Size the opportunities your analysis identifies and activate them in market through the same segments.

Human Insights Data

Layered Consumer Context

Human Insights Data is organised in five layers — Sociodemographics, Capacity, Motivations, Behaviour, and Outlook & Intentions — anchored in sociodemographics, with motivations based on the Schwartz values framework measured in our Human Insights survey. Behaviour and future intentions build on these, forming a holistic model of the factors underlying consumer choice. Together, the layers supply the consumer context on which grounded synthetic personas can be built.

Factors Underlying Consumer Choice

What they intend to do Who people are
05

Outlook & Intentions

Buying behavioursBuying behaviour measures, including buying drivers and intentions, from the Human Motivations & Sustainability Survey. · Personal profilesPersonal profile measures relating to optimism, outlook, health status and defining demographics.

04

Behaviour

Lifestyle interestsLifestyle interest measures from the Human Motivations & Sustainability Survey. · Media consumptionMedia consumption measures, including media exposure and social media, from the Human Motivations & Sustainability Survey. · Sustainability attitudes & behaviourSustainability attitudes and behaviour measures from the Human Motivations & Sustainability Survey. · LOHAS behavioursLOHAS (Lifestyles of Health and Sustainability) behavioural measures from the Human Motivations & Sustainability Survey. · Sporting interestsSporting interest measures from the Human Motivations & Sustainability Survey.

03

Motivations

Motivational mindsets47 motivational mindsets, factor-analysed from personal values and related measures in the Human Motivations & Sustainability Survey. · Personal valuesPersonal values based on Schwartz's refined theory of individual values, from the Human Motivations & Sustainability Survey.

02

Capacity

Household economicsHousehold estimates of income, assets, liabilities and other financial indicators — a snapshot of household financial health, built with the ABS Survey of Income and Housing. · Sources of anxietyMeasures of consumers' sources of anxiety, from the Human Motivations & Sustainability Survey. · Health and wellbeingHealth and wellbeing measures from the Human Motivations & Sustainability Survey.

01

Sociodemographics

Consumer demographicsPopulation indicators such as income, family structure, ancestry, country of birth, employment and education — built on RDA's Proprietary Population Model and updated with population growth and migration statistics. · Cultural diversityProfiles cultural composition across ancestry, religious affiliation, language spoken at home and country of birth. · Personal profilesPersonal profile measures relating to optimism, outlook, health status and defining demographics. · geoTribes and geoSmart Segments

How the Data Is Built

The data is produced by fusing our Human Insights survey data and Proprietary Population Model, which combines Census data, population growth and migration statistics, and government microdata into an anonymous representation of Australian people and households that is updated annually. The fused data is modelled into our unique geoGraph Matching System, capturing diversity across the intersection of Census areas, address type, age band and gender in about 3 million high‑resolution keys. Each key holds a unique array of statistical Human Insights profiles, optimised to provide rich consumer context for customer and survey data files.

How it works

From File to Enriched Output in Five Steps

1

Prepare

Multiple upload formats are available; see the Resources page for details. Most common for surveys is suburb, postcode, address type, age band and gender.

2

Upload

Supported formats are checked and records validated as the file loads.

3

Select

Choose Datapacks and output type: Data Appending or Database Profiling.

4

Preview

Match success rate and exact cost before you commit.

5

Download

Appended file (.txt/.sav) or Excel profiling report, plus market sizing, metadata, pen‑portrait data and the Meet the geoTribes Segments – AI Guide.

Maximum records per job is 100,000 for Data Appending or Database Profiling.

Outputs open directly in the tools research and insights teams already use, including Excel, SPSS, Q, JMP, Tableau and Power BI.

Who uses it

Applications by User Group

Quick Append outputs support three user groups: survey researchers, insights managers and customer analysts.

For Survey Researchers

01

Append geoTribes Segments

A plug-in scheme with 15 segments based on lifecycle stage and socioeconomic status, with profiles of each segment's motivations, preferences and buying decisions and a direct route to market activation.

02

Extend Analytical Scope

Collect the tagging fields (suburb, postcode, address type and age band, plus gender for Human Insights Datapacks) during fieldwork, then append media consumption, motivations, lifestyles or sources of anxiety.

03

Enrich Custom Segmentations

Build richer pen portraits for your own segments with values, lifestyles and media measures, or use appended data as inputs to segment construction.

For Insights Managers

01

Integrate Survey and Database Findings

Join survey attitudes with database behaviour at segment level, without linking individual records and with no Personal Information.

02

Compare Results Across Studies

Use geoTribes as a single segmentation scheme across trackers, suppliers and waves to keep findings comparable over time.

03

Turn Segment Profiles into Synthetic Personas

Use profiling report measures to build personas for first-person buyer simulations grounded in quantified Human Insights Data.

For Customer Analysts

01

Profile Your Customer Base Against the Market

See which segments, values, cultural groups and income bands over- and under-index among your customers.

02

Identify Lookalike Segments

Quantify which segments high-value customers concentrate in, as a targeting specification for marketing campaigns.

03

Add Consumer Context to Predictive Models

Enrich churn, value and propensity models with Human Insights measures such as motivations, values and financial stress to increase explanatory depth and add new variables to test for incremental lift.

Pricing

Pay per Job, No Subscription

Every job is quoted before you pay, and you are only charged when the job succeeds.

Full pricing & Datapack rates

Data Appending

Segment codes and Datapack measures added to each matched record in your file.

From A$1,000 + GST

Segments base
A$0.50 per record
Datapacks
A$0.10–0.30 per record, each
Minimum charge
Equivalent to 2,000 records

Database Profiling

An Excel report profiling your database by segment and Datapack.

From A$1,000 + GST

Segments base report
A$1,000
Datapacks
A$200–600 each
Target segments
+20% loading each
File size
Up to 100,000 records per report

Job Size

Designed for survey and pilot project files, typically fewer than 10,000 records per job (maximum 100,000 records). For enterprise-scale data enrichment, our Living Insights Portal or Snowflake Service is more economical than per-record pricing.

Coverage

geoTribes Segments cover Australia, New Zealand, the USA, UK and Canada; extended Human Insights Data is available in Australia. For more information, message us or call the help desk on +61 2 8923 6600.

Privacy and security

Privacy‑First Design and Operation

Quick Append is designed to the standards of data security and privacy protection that the market research and insights community expects.

Appending Statistical Profiles

Records are matched to modelled statistical profiles through our system of geoGraph Keys, so no record is matched to data about an identifiable person.

Data Minimisation

Only the minimum data is accepted, fine-grained location is removed at the earliest possible point so appended files carry no Personal Information, and all files are deleted within 14 days, with only an audit summary retained.

Independent SOC 2 Type 2 Examination

RDA Research has completed an independent SOC 2 Type 2 examination of its security controls. Policies, SOC 2 reports and penetration-test certificates are available on request through the Trust Centre, and live service status is at status.geotribes.com.

FAQ

Answers to Common Questions

Will I be charged if my job fails or the results don't make sense?

No. We only charge for successful jobs. If a job hasn't worked as expected, contact the help desk using Message Us on the portal or call +61 2 8923 6600.

What does Quick Append cost?

See the Pricing page for rates and worked examples.

What outputs does Quick Append produce?

Two job types: Data Appending and Database Profiling. On completion you download an appended data file (.txt/.sav) or an Excel profiling report, plus market sizing, metadata, pen‑portrait data and the Meet the geoTribes Segments – AI Guide. Jobs appending Human Insights Datapacks also include a version of the data formatted for LLM prompts.

What upload formats work with Quick Append?

Quick Append accepts uploaded data files for Australia in a variety of easily prepared formats. The most common is a survey file of suburb, postcode, address type and age band, plus gender for Human Insights Datapacks; finer location — full address, SA1, G‑NAF PID or coordinates — lifts match precision. The maximum is 100,000 records per job.

Address (Personal Information)Age BandGenderBest for Customer Databases
SA1 or Latitude LongitudeAddress TypeAge BandGenderBest without Personal Information for Mobility & Customer Databases
SuburbPostcodeAddress TypeAge BandGenderBest for Survey Research
PostcodeAddress TypeAge BandGenderMinimum Requirement

Gender is not required for appending geoTribes or geoSmart Segments.

For coding details and template formats for Australia and overseas, use the Coding Guide Builder on the Resources page.

How does the matching work, and why is it more accurate?

Through the geoGraph Matching System, Quick Append matches uploaded records to modelled statistical profiles of Human Insights Data held in about 3 million geoGraph Keys, each representing similar people. The keys are derived from RDA's Proprietary Population Model, which is updated annually from Census data, population growth and migration statistics, and government microdata, with data from RDA's Human Insights survey fused in and optimised for appending. Data is appended on geography, address type and age band together, with gender added for Human Insights Datapacks. Survey files typically match at suburb/postcode level with address type and age band; customer databases can match at address or SA1 level. Fine-grained geography produces more precise results: Australia has around 2,600 postcodes, 8,500 mappable suburbs and localities and 60,000 SA1s. The added factors of address type, age band and gender create multi-dimensional geoGraph Keys that lift the accuracy of Human Insights Data above matching on location alone. Records from New Zealand, the USA, the UK and Canada are matched through equivalent models built for each country.

How does Quick Append data security work?

Quick Append is built on the principle of data minimisation. Records are matched to modelled statistical profiles through our system of geoGraph Keys, so no record is matched to data about an identifiable person. Only the minimum data needed for appending is accepted, fine-grained location is stripped at the earliest point, uploaded and intermediate files are securely deleted at the earliest possible stage, and appended files are permanently deleted 14 days after completion, or sooner if you choose. Only a summary transaction record is retained for audit. Data is encrypted in transit and at rest and processed on Australian servers, and RDA Research has completed an independent SOC 2 Type 2 examination of its security controls. Services are designed to comply with the Australian Privacy Principles and the Privacy Act 1988 (Cth). Full policies and SOC 2 reports are available on request through the Trust Centre.

Where is my data processed and stored?

In Australia. Quick Append runs on Amazon Web Services infrastructure hosted in Australia, and all appending and profiling is processed on Australian servers. Under our Terms & Conditions of Service, data you submit is maintained within Australia unless you specifically authorise an international transfer, and it is handled in accordance with the Privacy Act 1988 (Cth) and the Australian Privacy Principles.

How can I use AI models (like Claude and ChatGPT) with Quick Append?

Both job types can be used with AI models. Every appended file and profiling report includes the Meet the geoTribes Segments – AI Guide, an AI‑ready document containing the profiles of the 15 geoTribes Segments and instructions for using them with your summaries in ChatGPT, Claude or another LLM. Database Profiling reports are also AI‑ready: they include reading instructions and are designed for direct upload. In both cases the AI is instructed to answer from your summaries and the profiles, citing the figures so each answer can be checked. You can also build a synthetic persona for a segment and direct a buyer simulation with your own prompts. Persona and simulation outputs should mainly be seen as hypotheses to test in subsequent research or pre-market trials.

How do I enrich my whole customer database?

Quick Append's per-record pricing is designed for survey and project scale jobs. For enterprise-scale data enrichment, our Living Insights Portal or Snowflake Service is more economical. For advice, contact the help desk on +61 2 8923 6600.

Which countries does Quick Append have data for?

geoTribes person-level segments: Australia, New Zealand, USA, UK and Canada. geoSmart geodemographic segments: Australia and New Zealand. For Australia we offer the extended Human Insights Data range, including consumer demographics, cultural diversity, motivations, values and sustainability, and household economics.

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See what Quick Append can do in a 15-minute session.

 

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