How to Analyze Market Research Data
How to analyze market research data begins with the raw export from your survey or research tool — whether that's a Qualtrics response file, a SurveyMonkey CSV, or a manually compiled interview notes spreadsheet. The first step is always to assess what you have: check response count, identify incomplete responses, and map each column to a question type before any analysis begins.
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What this export contains
| Response ID |
| Completion Status |
| Market Segment |
| Question 1 |
| Question 2 |
| Net Promoter Score |
| Interview Date |
| Interviewer Name |
What usually goes wrong with it
Incomplete responses must be filtered before analysis
Survey exports include partial submissions where respondents stopped mid-way — including them in averages or cross-tabs inflates certain demographic cells and skews distributions.
DataMimi Datamimi filters incomplete responses using the Completion Status column and flags cells with low response counts so cross-tabs include only statistically meaningful subgroups.
Likert scale responses are stored as numbers or text inconsistently
Some exports store 'Strongly Agree' as 1; others as 5. If the scale direction isn't documented, analysis can accidentally reverse the meaning of a score.
DataMimi It detects Likert scale direction from response distributions and notes when scale orientation appears reversed relative to the question text.
Open-text responses require qualitative coding before they're usable
Free-text columns like 'What could we do better?' contain unstructured responses that can't be counted or averaged without grouping by theme first.
DataMimi It groups open-text responses by semantic theme, producing a frequency count of common themes that makes qualitative data quantifiable.
Common questions
How do I clean survey data in Excel before analysis?
Start by filtering Completion Status to 'Complete' only. Check for duplicate Response IDs and remove them. Standardize Likert scale direction — confirm that the scale is consistent across all question columns. Replace blank cells with a 'No Response' label so they don't disappear from pivot counts.
What is a cross-tab in market research and how do I build one?
A cross-tabulation shows how one variable distributes across categories of another. In Excel, build it as a pivot table with Market Segment in rows and a question's response options in columns. The Value field should be Count, then convert to % of Row to compare segment distributions.
How many responses do I need for market research to be reliable?
For a general population survey with a 5% margin of error at 95% confidence, you need about 385 responses. For subgroup analysis, each subgroup needs at least 30 responses for basic reliability. Below 30 per subgroup, treat findings as directional rather than statistically significant.
What does Datamimi cost?
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DataMimi reads the file you actually have — merged cells, headers below row one, totals pasted at the bottom — and shows which rows and columns every number came from.
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