Country Mix in Dupple's Quiz Responses
Which countries were recorded for Dupple quiz respondents? In a 5 November 2026 export, 101,794 of 132,104 deduplicated respondents had a country value; 52,186 of those were recorded as United States, or 51.3% of the known-country group. These operational country values are not verified residences or a count of people reached by an ad.
Published and updated 5 November 2026. Data extracted 5 November 2026.
Dupple publishes Techpresso, AIpresso, Devshot, Cyberpresso, Finpresso and MarketingShot, and sells sponsorships in them. Our data describes quiz records from Dupple's own systems; it is not independently audited and does not represent a verified census of newsletter readers.
Country values in the export
The country mix CSV summarizes the latest quiz record per normalized email within the window 5 August through 3 November 2026, inclusive. The ten largest recorded countries are listed in descending count; all other non-empty country values are grouped together. An unknown value is kept separately. The file contains aggregate counts only, not email addresses.
| Country recorded | Respondents | Share of all 132,104 | Share of 101,794 with a country |
|---|---|---|---|
| United States (US) | 52,186 | 39.5% | 51.3% |
| United Kingdom (GB) | 6,777 | 5.1% | 6.7% |
| Spain (ES) | 5,552 | 4.2% | 5.5% |
| Italy (IT) | 4,540 | 3.4% | 4.5% |
| Australia (AU) | 4,211 | 3.2% | 4.1% |
| Canada (CA) | 4,116 | 3.1% | 4.0% |
| Poland (PL) | 3,592 | 2.7% | 3.5% |
| Portugal (PT) | 3,445 | 2.6% | 3.4% |
| United Arab Emirates (AE) | 3,236 | 2.4% | 3.2% |
| Mexico (MX) | 3,173 | 2.4% | 3.1% |
| Other recorded countries | 10,966 | 8.3% | 10.8% |
| No country value | 30,310 | 22.9% | Not in denominator |
The listed country codes are the two-letter values stored in the source. The table groups lower-count countries into Other rather than presenting each as a separate audience. Shares are rounded to one decimal place, so displayed percentages may not sum to exactly 100%. The known-country denominator includes Other; the all-respondent denominator also includes unknowns.
Two denominators answer different questions
The United States value illustrates why the denominator matters. The same 52,186 records are 51.3% of the 101,794 people with a country value and 39.5% of all 132,104 deduplicated records. The first percentage answers what share of the known-country group was recorded as US. The second answers what share of the entire export was recorded as US. Neither says where the 30,310 people without a country value are located.
Do not assign the unknown group to countries in the same proportions as the known group. A country may be missing for a reason related to acquisition, device, consent or the available signals; this aggregate does not measure the cause. Some records contain a broader country scope without one exact country. They remain in the unknown group unless the selected record also has a country value.
For a geographically limited campaign, the gap matters operationally. A country-restricted offer may exclude unknown-country records rather than treating them as US or another market. Dupple's lead generation page describes strict country targeting for that product. The table here is a historical snapshot of recorded quiz values, not a forecast of eligible impressions under a particular rule.
How one record per person was selected
The source is Dupple's quiz database, read on 5 November 2026. The export selects records whose creation time falls from 5 August 2026 at 00:00 UTC up to, but not including, 4 November 2026 at 00:00 UTC. This includes all of 3 November in UTC. It excludes records with no usable email identifier, normalizes the identifier for deduplication and keeps the most recently created record within the window for each normalized identifier. A stable record identifier breaks ties.
The identifier is used only inside the read-only aggregation. It is not included in the CSV. A person with two different email addresses can still be counted twice, and the same address does not prove that the same human completed every action. A later selected record with no country remains unknown even if another record for that identifier had a country. The aggregation script describes the selection and grouping without exposing individual records.
The dataset is a snapshot of quiz records from Dupple's systems. Source labels include several acquisition and product paths; the export does not prove that every record became an active subscriber to a particular newsletter. Country values can come from operational signup, campaign or activity signals and were not independently checked against residence or citizenship. Travel, shared devices, network routing, stale signals or missing values can affect interpretation.
Why this differs from the earlier audience CSV
The audience and lead data page describes an earlier post-signup audience export of 130,965 respondents for its 90-day window. This country snapshot contains 132,104 deduplicated quiz records and was extracted later with the selection rule described above. The exports should be treated as separately defined snapshots. The available files do not establish the entire cause of the difference, so this page does not attribute it to a particular filter or change in audience.
Both sources report a US share close to half of their respective known-country groups, but matching rounded percentages do not prove the populations are identical. Use one source consistently for a calculation. Do not take the earlier export's respondent total and multiply it by this page's country shares to create precise counts.
The earlier file includes industry, role and seniority segments; this CSV does not cross-tabulate country with those attributes. It cannot answer how many US respondents were engineers, managers or subscribers to AIpresso. The Techpresso page describes a publication; this quiz export does not establish its country distribution. Ask for publication-specific evidence before making that claim.
Country is not the same as campaign reach
A count of stored country values is not an email delivery count. Some quiz respondents may not receive a later issue, and an email subscriber may never appear in this window. A person might be eligible for an offer under one set of rules but not another. Device, role, publication and geographic restrictions can all change a campaign's eligible population.
Consider an advertiser able to serve customers only in Canada. The table records 4,116 selected records with CA in the export, but that is not a promise of 4,116 eligible leads or ad views. Ask whether the proposed product uses strict country matching, what happens to unknown country values, the date of the audience estimate and how the campaign will be reported. Dupple's lead generation page describes its own targeting controls; the Primary Ad page describes a different, in-issue format.
Other advertising providers use different populations and collection methods. EthicalAds' advertiser FAQ, checked 5 November 2026, describes targeting by country and the content of the page where an ad is served. That describes website-ad targeting, not the country distribution of Dupple quiz records. Ask each provider whether a geography is declared, inferred or supplied by another signal and what happens when it is unavailable.
How to read and reuse the file
The CSV contains a country code or grouped label, respondent count, share of all records and share of records with a known country. The unknown row has no known-country percentage because it is outside that denominator. Other known is an aggregate of all recorded countries outside the ten largest groups. No individual country in that group should be assumed to have a particular count without another permitted aggregate.
The extraction script selects the latest record within this window, not the latest record a person ever created. It does not link quiz records to delivery, clicks, purchases or consent for an individual campaign. The list can change in a later snapshot when records are corrected or a country signal is filled in. Retain the extraction date and method if comparing this file with a future one.
The newsletter buying guide offers questions for a placement proposal, and the sponsorship ROI guide explains how to define a campaign outcome. The Primary Ad guide and dedicated-send guide explain Dupple's email formats. None of those formats can be assigned the country mix above without evidence for its actual audience.
What we could not verify
The export does not verify residence, citizenship, current physical location, individual consent for a campaign or an active subscription to a specific newsletter. Missing countries may not be random. The same person may use more than one email, and a selected record can change when operational data is corrected. Dupple's database and the resulting aggregate have not been independently audited. These figures do not guarantee campaign reach or results.
FAQ
How many quiz respondents had a country value?
In this export, 101,794 of 132,104 deduplicated quiz records had a non-empty country value. The remaining 30,310 were grouped as unknown.
Is the US share 51.3% or 39.5%?
Both describe the same 52,186 US-recorded entries. The first uses only records with a known country; the second uses all 132,104 records.
Are these verified places of residence?
No. They are operational country values from Dupple's records, using several possible signals. They were not independently verified as residence or citizenship.
Does this show the country mix of Techpresso or AIpresso?
No. The export is not a publication-specific list or a measure of delivered newsletter issues.
Why does the earlier audience export have a different total?
It is a separately defined snapshot. This page uses the stated latest-record-per-normalized-email method; the available files do not establish every reason for the difference.