Data and methods
Dupple audience and lead data, with methods
Updated
Four datasets from Dupple's systems, free to cite with a link: the post-signup quiz new subscribers answer (5 Aug to 3 Nov 2026) and offer views and clicks logged by the Offer Network (4 Oct to 3 Nov 2026), plus the six newsletters' subscriber figures. Each comes with its method, sample size, window, limits and a CSV file.
Summary
Quick answer
- 130,965 new subscribers answered the post-signup quiz between 5 Aug and 3 Nov 2026. Sample: 130,965 people, window 90 days.
- 28.6% are decision-makers (Founder, C-Suite or Director/VP). 7.2% (9,381 people) are decision-makers at a company of 51 or more employees. Sample: 130,965, window 5 Aug to 3 Nov 2026.
- 12.6% (16,522 of 130,964) signed up with an email domain that is not a consumer mailbox provider. That is an upper bound for work emails. Sample: 130,964, window 5 Aug to 3 Nov 2026.
- Offer cards were clicked at 8.0% of card views across the network (279,365 card views, 22,388 clicks, 37,942 people). Window: 4 Oct to 3 Nov 2026 (30 days).
- 56.5% of the 28,509 respondents who answered the AI question pay for at least one AI tool, and the median self-reported spend is $20 a month. Sample: 28,509, window 5 Aug to 3 Nov 2026.
- Newsletter subscribers: 950,000+ across six newsletters, as of November 1, 2026 (email platform data).
Files
Download the data
Four CSV (comma-separated values) files hold the aggregates behind datasets 1 to 4. All four were read on 3 November 2026. They hold aggregates only: no email address, no name and no individual record.
- dupple-post-signup-audience-segments-2026-11-03.csv: post-signup audience for 28 segments (people, decision-maker and company-size shares, country known and US share). 28 segments.
- dupple-email-quality-90d-2026-11-03.csv: email domain quality for 5 segments (people, non-consumer domain counts and shares). 5 segments.
- dupple-ai-stack-90d-2026-11-03.csv: AI tools and monthly AI spend for 5 segments (answers, paying share, spend percentiles, most common tools). 5 segments.
- dupple-offer-engagement-30d-2026-11-03.csv: offer-card views, clicks and click rate for 30 segments of quiz respondents. 30 segments.
Newsletters
Newsletter audience figures
These are the subscriber counts and the average open and click rates that the email platform reports for each newsletter. The figures come from one shared data file, and every Dupple page prints them from that file, so the same number appears everywhere. The file is refreshed weekly. Subscriber counts are rounded down: Techpresso and the six-newsletter total to the nearest 10,000, the other newsletters to the nearest 1,000, with "+" only when the real figure is above the rounded one. Open rates are rounded to the nearest whole percent. These lists are not the same population as the quiz respondents described in the populations section.
| Newsletter | Subscribers | Average open rate | Average click rate |
|---|---|---|---|
| Techpresso | 790,000+ | 37% | 1% |
| MarketingShot | 35,000+ | 32% | 1.3% |
| Finpresso | 31,000+ | 33% | 1.2% |
| Devshot | 30,000+ | 32% | 1.4% |
| Cyberpresso | 28,000+ | 31% | 1.3% |
| AIpresso | 28,000+ | 31% | 1.8% |
| All six newsletters | 950,000+ | 31% to 37% | 1% to 1.8% |
Dataset 1
Post-signup audience segments
- What it contains
- For 28 segments (all respondents, two industries, industry plus role, and role across all industries), the number of people, the share who are decision-makers, the share at companies of 51 or more employees, the count and share of decision-makers at 51 or more employees, the share whose country is known, and the US share of those with a known country.
- How it was collected
- New subscribers to a Dupple newsletter see a short quiz right after they sign up. It asks about industry, role, job level, company size and AI tools. The Offer Network stores the answers. Country is not a quiz question: it is recorded separately and is known for 77.1% of respondents. Window: 5 Aug to 3 Nov 2026 (90 days). Sample: 130,965 people.
- Definitions
- Decision-maker means Founder, C-Suite or Director/VP. 51+ means a company of 51-200, 201-1000 or 1000+ employees. The quiz offers six company sizes: Just me, 2-10, 11-50, 51-200, 201-1000 and 1000+. Country known means a country is recorded for the respondent. US share of known is the share of those people whose country is the US.
- What it cannot show
- Answers are self-reported and are not checked against company records. Respondents are new subscribers who answered the quiz, not every subscriber. Country is known for 77.1% of all respondents (78.6% in Technology, 76.3% in Finance & Banking), so the US share describes only those respondents. The data says nothing about purchase intent.
- Read and refresh
- Read on 3 Nov 2026. Next refresh 3 Dec 2026 (monthly). Download the CSV.
| Segment | People | Decision-makers | At 51+ employees | Decision-makers at 51+ (count, share) | Country known | US share of known |
|---|---|---|---|---|---|---|
| All respondents | 130,965 | 28.6% | 28.0% | 9,381 (7.2%) | 77.1% | 51.3% |
| Technology | 28,402 | 30.2% | 37.6% | 3,089 (10.9%) | 78.6% | 42.7% |
| Finance & Banking | 9,135 | 30.3% | 42.6% | 1,217 (13.3%) | 76.3% | 46.8% |
| Tech + Engineering & Software Development | 6,418 | 29.7% | 40.6% | 582 (9.1%) | 84.6% | 34.4% |
| Tech + Data & Analytics | 1,813 | 11.9% | 48.8% | 78 (4.3%) | 83.5% | 43.0% |
| Tech + Product Management | 1,214 | 24.5% | 49.5% | 106 (8.7%) | 83.5% | 40.3% |
| Tech + Marketing & Communications | 1,516 | 38.1% | 32.2% | 178 (11.7%) | 84.2% | 40.8% |
| Tech + Sales & Business Development | 1,969 | 41.7% | 43.4% | 310 (15.7%) | 83.6% | 45.7% |
| Tech + Executive & Leadership | 3,767 | 73.1% | 46.6% | 1,220 (32.4%) | 83.9% | 42.2% |
| Tech + Operations & Project Management | 2,423 | 21.5% | 56.1% | 259 (10.7%) | 83.1% | 48.3% |
| Tech + Human Resources | 344 | 24.1% | 61.0% | 56 (16.3%) | 80.2% | 48.6% |
| Finance & Banking + Finance & Accounting | 2,673 | 26.3% | 43.4% | 261 (9.8%) | 82.8% | 45.3% |
| Finance & Banking + Executive & Leadership | 1,125 | 66.0% | 50.0% | 360 (32.0%) | 81.2% | 46.4% |
| Finance & Banking + Operations & Project Management | 566 | 26.9% | 60.4% | 88 (15.5%) | 81.6% | 50.6% |
| Finance & Banking + Sales & Business Development | 1,002 | 37.5% | 35.3% | 124 (12.4%) | 80.6% | 53.2% |
| Finance & Banking + Marketing & Communications | 394 | 34.5% | 41.9% | 62 (15.7%) | 81.7% | 52.2% |
| Finance & Banking + Customer Success & Support | 187 | 8.0% | 59.9% | 7 (3.7%) | 75.9% | 54.9% |
| Finance & Banking + Engineering, Data or Product (fintech builders) | 1,206 | 26.2% | 58.8% | 190 (15.8%) | 81.2% | 39.2% |
| Any industry + Finance & Accounting role | 4,856 | 27.6% | 40.9% | 521 (10.7%) | 82.5% | 47.7% |
| Any industry + Human Resources role | 2,967 | 22.3% | 53.4% | 372 (12.5%) | 78.8% | 52.5% |
| Any industry + Engineering & Software Development role | 9,078 | 30.3% | 38.3% | 825 (9.1%) | 85.2% | 34.9% |
| Any industry + Data & Analytics role | 5,200 | 15.8% | 47.9% | 349 (6.7%) | 83.0% | 43.9% |
| Any industry + Marketing & Communications role | 11,173 | 36.7% | 23.6% | 822 (7.4%) | 83.5% | 43.2% |
| Any industry + Sales & Business Development role | 11,377 | 42.7% | 26.7% | 988 (8.7%) | 82.1% | 52.5% |
| Any industry + Legal role | 1,628 | 24.3% | 28.9% | 108 (6.6%) | 78.9% | 53.4% |
| Any industry + Operations & Project Management role | 10,483 | 26.9% | 46.3% | 966 (9.2%) | 81.6% | 54.8% |
| Any industry + Customer Success & Support role | 4,613 | 10.8% | 41.3% | 150 (3.3%) | 76.3% | 66.5% |
| Any industry + Product Management role | 3,711 | 27.2% | 39.5% | 278 (7.5%) | 82.2% | 44.9% |
Dataset 2
Email quality
- What it contains
- For 5 segments (all respondents, Technology, Finance & Banking, Technology plus Engineering & Software Development role, and Finance & Banking plus Finance & Accounting role), the number of people, the count and share with a non-consumer email domain, and how many decision-makers at 51 or more employees have a non-consumer domain.
- Method
- The domain of the sign-up email is compared with a list of about 50 consumer mailbox providers, such as Gmail, Yahoo, Hotmail, Outlook, iCloud, AOL, GMX, Proton and national internet providers. Any other domain counts as non-consumer.
- Limits
- Non-consumer is an upper bound for a work address, because a personal domain or a school domain also counts. No email is checked as deliverable, and none is checked as belonging to the company the person states. This file counts 130,964 people against 130,965 in the segment file (28,401 against 28,402 for Technology), and each share uses its own file's count.
- Read and refresh
- Read on 3 Nov 2026. Next refresh 3 Dec 2026 (monthly). Download the CSV.
| Segment | People | Non-consumer email domain | Decision-makers at 51+ with a non-consumer domain |
|---|---|---|---|
| All respondents | 130,964 | 16,522 (12.6%) | 1,864 of 9,381 |
| Technology | 28,401 | 4,044 (14.2%) | 614 of 3,089 |
| Finance & Banking | 9,135 | 1,169 (12.8%) | 211 of 1,217 |
| Technology + Engineering & Software Development role | 6,418 | 950 (14.8%) | 113 of 582 |
| Finance & Banking + Finance & Accounting role | 2,673 | 322 (12.0%) | 38 of 261 |
Dataset 3
AI tools and spend
- What it contains
- For 5 segments (all respondents, Technology, Technology plus Engineering & Software Development role, Finance & Banking, and Founders and C-suite across all industries), how many people answered, the share paying for at least one AI tool, the median, 25th and 75th percentile of monthly AI spend in US dollars, the share spending $100 or more a month, and the six most common answers to the tools question.
- Method
- A quiz question answered by 28,509 of the 130,964 respondents, in the window 5 Aug to 3 Nov 2026 (90 days). Spend is the monthly amount the person says they spend.
- Limits
- Answers are self-reported. Only about one respondent in five answered this question (28,509 of 130,964), so the people who answered may differ from the rest. Shares of tools can add up to more than 100%, because a person can name several.
- Read and refresh
- Read on 3 Nov 2026. Next refresh 3 Dec 2026 (monthly). Download the CSV.
| Segment | Answered | Pay for at least one AI tool | Median monthly spend | 25th / 75th percentile | Spend $100+ a month | Six most common answers (share of segment) |
|---|---|---|---|---|---|---|
| All respondents | 28,509 | 56.5% | $20 | $0 / $20 | 6.5% | None (no paid tool) 43.5%, ChatGPT Plus 33.3%, Claude Pro 30.5%, Gemini Advanced 8.8%, Claude Max 6.3%, Perplexity Pro 4.3% |
| Technology | 7,225 | 61.3% | $20 | $0 / $40 | 9.5% | None (no paid tool) 38.7%, Claude Pro 35.6%, ChatGPT Plus 31.6%, Gemini Advanced 11.1%, Claude Max 9.3%, Perplexity Pro 5.2% |
| Technology + Engineering & Software Development role | 2,035 | 65.4% | $20 | $0 / $40 | 11.5% | Claude Pro 37.5%, None (no paid tool) 34.6%, ChatGPT Plus 31.7%, Gemini Advanced 12.6%, Claude Max 11.4%, GitHub Copilot 7.5% |
| Finance & Banking | 1,801 | 59.3% | $20 | $0 / $40 | 8.1% | None (no paid tool) 40.7%, Claude Pro 35.0%, ChatGPT Plus 31.7%, Claude Max 8.0%, Gemini Advanced 6.9%, Perplexity Pro 4.2% |
| Founders and C-suite (any industry) | 7,590 | 70.4% | $20 | $0 / $40 | 11.3% | ChatGPT Plus 44.5%, Claude Pro 38.0%, None (no paid tool) 29.6%, Claude Max 10.9%, Gemini Advanced 10.0%, Perplexity Pro 6.5% |
Dataset 4
Offer engagement
- What it contains
- For 30 segments of quiz respondents (Technology and Finance & Banking, by decision-maker status, company size, US or not, and role), the people who saw at least one offer card, the offer-card views, the clicks and the click rate.
- Method
- Offer-card views and clicks are logged by the Offer Network itself, not by the email provider. The clicks come from the post-signup offer wall and other placements, the welcome and follow-up emails, and partner sites. Window: 4 Oct to 3 Nov 2026 (30 days).
- Network totals for the same window
- These are not in the CSV. 279,365 offer-card views; 22,388 clicks (8.0% of card views); 37,942 people who saw at least one card. Clicks by surface: post-signup wall and other placements 15,715, emails 5,581, partner sites 1,092. 150 live offers from 36 advertisers.
- Definitions
- Click rate is clicks divided by offer-card views. A person can view several cards, so people and views are different counts.
- Limits
- A click is not a lead or a sale, and Dupple does not see what happens on the advertiser's page. The rates mix every offer that was live, each with its own targeting. The US and outside-US rows leave out people whose country is unknown, so they do not add up to the segment total. Respondents outside the US clicked at 9.1% in Technology and 9.5% in Finance & Banking, and US respondents at 5.0% and 5.6% in the same two industries. The data does not explain this gap.
- Read and refresh
- Read on 3 Nov 2026. Next refresh 3 Dec 2026 (monthly). Download the CSV.
| Segment | People who saw offers | Offer-card views | Clicks | Click rate |
|---|---|---|---|---|
| Technology | 7,808 | 53,591 | 3,734 | 7.0% |
| Technology, decision-makers | 2,483 | 16,732 | 1,117 | 6.7% |
| Technology, 51+ employees | 3,232 | 21,734 | 1,428 | 6.6% |
| Technology, decision-makers at 51+ | 908 | 5,737 | 401 | 7.0% |
| Technology, US | 3,694 | 27,362 | 1,358 | 5.0% |
| Technology, outside the US | 4,105 | 26,217 | 2,376 | 9.1% |
| Technology, Engineering & Software Development role | 1,947 | 13,286 | 939 | 7.1% |
| Technology, Data & Analytics role | 501 | 3,445 | 238 | 6.9% |
| Technology, Product Management role | 337 | 2,064 | 148 | 7.2% |
| Technology, Marketing & Communications role | 461 | 2,683 | 218 | 8.1% |
| Technology, Sales & Business Development role | 574 | 3,962 | 256 | 6.5% |
| Technology, Executive & Leadership role | 1,146 | 6,980 | 532 | 7.6% |
| Technology, Operations & Project Management role | 745 | 5,760 | 368 | 6.4% |
| Technology, Finance & Accounting role | 100 | 670 | 69 | 10.3% |
| Technology, Human Resources role | 96 | 633 | 56 | 8.8% |
| Finance & Banking | 2,481 | 16,894 | 1,245 | 7.4% |
| Finance & Banking, decision-makers | 799 | 5,310 | 408 | 7.7% |
| Finance & Banking, 51+ employees | 1,134 | 7,449 | 625 | 8.4% |
| Finance & Banking, decision-makers at 51+ | 339 | 2,215 | 206 | 9.3% |
| Finance & Banking, US | 1,281 | 9,129 | 511 | 5.6% |
| Finance & Banking, outside the US | 1,188 | 7,719 | 734 | 9.5% |
| Finance & Banking, Engineering & Software Development role | 102 | 708 | 48 | 6.8% |
| Finance & Banking, Data & Analytics role | 167 | 1,103 | 93 | 8.4% |
| Finance & Banking, Product Management role | 77 | 498 | 34 | 6.8% |
| Finance & Banking, Marketing & Communications role | 135 | 851 | 50 | 5.9% |
| Finance & Banking, Sales & Business Development role | 299 | 1,765 | 151 | 8.6% |
| Finance & Banking, Executive & Leadership role | 313 | 2,022 | 134 | 6.6% |
| Finance & Banking, Operations & Project Management role | 161 | 1,182 | 74 | 6.3% |
| Finance & Banking, Finance & Accounting role | 807 | 5,853 | 477 | 8.1% |
| Finance & Banking, Human Resources role | 43 | 267 | 18 | 6.7% |
Why the numbers differ
Why the numbers differ between pages
Three populations appear in Dupple's figures, each with its own source:
- (a) The newsletter lists, shown in the newsletter audience table above. Active subscribers on the six newsletters are counted, from the email platform.
- (b) New subscribers who answered the quiz, the population behind datasets 1 to 3. Dataset 1 counts 130,965 people, 5 Aug to 3 Nov 2026.
- (c) The Techpresso audience slide of the Dupple Media Kit 2026, which puts the US at 84.3% of the Techpresso list (read on 2026-10-21).
The 51.3% US share among quiz respondents with a known country (dataset 1, all respondents) and the media kit's Techpresso figure describe different people. One side is new subscribers across six newsletters, the other is the whole Techpresso list. So both can be true. Older pages and search results may show older subscriber counts. The figures on this page are the current ones.
Checking
How to check these numbers
- Advertisers can ask Dupple for the same cuts for their own targeting (role, job level, industry, company size and country) before a campaign.
- Each Lead Generation offer can get a private, read-only live report link. It shows the clicks Dupple recorded by placement.
- Offer figures come from the Offer Network's own logs and the quiz database, not from the email provider. Subscriber figures come from the email platform.
- No third party audits or certifies these figures.
How the offers work is set out on the Lead Generation page.
Changelog
Changelog
| Date | Change |
|---|---|
| 2026-11-03 | First version: four datasets (post-signup segments, email quality, AI tools and spend, offer engagement) and the newsletter audience table. |
Reuse
Using this data
Free to cite, with a link to https://dupple.com/advertise/data. Quote the window and the sample size next to any figure you reuse. The files contain aggregates only.
FAQ
Questions about this data
Straight answers on how the numbers were made.
Who collected these numbers, and how?
Dupple's own systems produced them. New subscribers see a short quiz right after they sign up to a Dupple newsletter, and the Offer Network stores the answers. Offer-card views and clicks are logged by the Offer Network, and subscriber counts come from the email platform.
Are the figures audited?
No. No third party has audited or certified these figures, and this page does not claim otherwise. Each figure comes with its method, window, sample size and limits, so you can judge how far to rely on it.
Why is the US share different from the Techpresso media kit?
They describe different people. The 51.3% US share in dataset 1 covers quiz respondents with a known country, who are new subscribers across six newsletters. The media kit figure covers the whole Techpresso list, as the populations section explains. Both can be true.
How often is the data refreshed?
The newsletter audience file is refreshed weekly. The four CSV datasets were read on 3 November 2026, and their next refresh is 3 December 2026. The refresh is monthly.
Can an advertiser get these cuts for its own targeting?
Yes. Advertisers can ask Dupple for the same cuts for their own targeting, such as role, job level, industry, company size and country, before a campaign. Each Lead Generation offer can also get a private, read-only live report link.
Dupple sells lead generation and newsletter advertising, and this page was written by its team.