Lead Generation for Developer Tools: Engineers, Decision-Makers and Work-Email Supply

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Lead generation for developer tools starts with engineers. Between 5 Aug and 3 Nov 2026 (90 days), 6,418 new Dupple subscribers who answered the quiz work in Technology and Engineering & Software Development, and 29.7% of them are decision-makers. Only 9.1% (582) are decision-makers at companies of 51 or more employees, so a devtool budget should plan for a large engineer audience and a thin decision-maker slice.

The same quiz feeds Lead Generation, where an advertiser pays per click (CPC, cost per click) or per lead (CPL, cost per lead). This page reads the engineer segment from that quiz. Its click data covers quiz respondents who saw offer cards from 4 Oct to 3 Nov 2026 (30 days). No row here is under 500 people, so none is called small.

Quick answer

  • 6,418 of the 130,965 quiz respondents (4.9%) work in Technology and Engineering & Software Development, in quiz answers from 5 Aug to 3 Nov 2026 (90 days).
  • 582 of them (9.1%) are decision-makers at 51+ companies, against 3,089 across all of Technology (10.9%).
  • 950 engineers (14.8%) use a non-consumer email domain over the same 90 days, an upper bound for business addresses. 113 of the 582 decision-makers at 51+ do (19.4%).
  • Technology readers clicked 7.0% of offer cards in 30 days (4 Oct to 3 Nov 2026): 9.1% outside the US and 5.0% in the US.
  • 65.4% of the 2,035 engineers who answered the AI-tools question pay for AI, with a median of $20 a month (90 days, 5 Aug to 3 Nov 2026).

The engineering audience in numbers

The engineering audience in numbers: Lead Generation for Developer Tools: Engineers, Decision-Makers and Work-Email Supply. Last updated November 2026.
Segment People Decision-makers At 51+ employees Decision-makers at 51+ (count) Country known US share of known country
All respondents 130,965 28.6% 28.0% 7.2% (9,381) 77.1% 51.3%
Technology (all roles) 28,402 30.2% 37.6% 10.9% (3,089) 78.6% 42.7%
Technology + Engineering & Software Development 6,418 29.7% 40.6% 9.1% (582) 84.6% 34.4%
Technology + Data & Analytics 1,813 11.9% 48.8% 4.3% (78) 83.5% 43.0%
Technology + Product Management 1,214 24.5% 49.5% 8.7% (106) 83.5% 40.3%
Engineering & Software Development (any industry) 9,078 30.3% 38.3% 9.1% (825) 85.2% 34.9%

Quiz data: new subscribers who answered the post-signup quiz, 5 Aug to 3 Nov 2026 (90 days). The People column is n for each row. "Decision-makers" means Founder, C-Suite or Director/VP. Source: Dupple Offer Network data, read 3 Nov 2026.

Engineering is the largest role group in Technology, at 22.6% of its respondents. Founders make up most of the engineers who are decision-makers: the 29.7% is Founder 21.9% plus Director/VP 5.2% plus C-Suite 2.6% (derived from the segment's seniority split). Against all respondents, the segment is higher on both decision-maker measures: 29.7% against 28.6%, and 9.1% at 51+ companies against 7.2%. The audience data page reports that 28.6% of the 130,965 respondents are decision-makers, and it gives the full industry and role breakdown for the same quiz.

The tech and finance industry guide covers the wider industry view.

Non-consumer email domains among engineers

950 of the 6,418 engineers (14.8%) use an email domain that is not one of about 50 consumer mailbox providers, over the same 90 days to 3 Nov 2026. This is an upper bound for business addresses, not a count of them, because a non-consumer domain can still be a personal one. The count itself is exact. We found no non-vendor study with a comparable work-email share for developer sign-ups.

Among the 582 decision-makers at 51+ companies, 113 use a non-consumer domain (19.4%, derived as 113 / 582). In any industry, 167 of the 825 decision-makers at 51+ in Engineering & Software Development do (20.2%, derived). The pool is 113 people over 90 days, so do not turn it into a monthly figure.

For what Dupple can check on a lead from this flow, see what counts as a lead in post-signup co-registration; the lead definition itself is not published, so ask us.

Click rates: what Technology readers do

A click rate here is clicks per offer-card view over 30 days (4 Oct to 3 Nov 2026), across the post-signup offer wall, emails and partner sites. These are clicks; Dupple publishes no rate for how many of them turn into leads. Across the whole network the rate is 8.0% (22,388 clicks in 279,365 card views, same 30 days). For outside scale, the UK industry body Data & Marketing Association (DMA) gives 2.3% as the 2024 unique email click rate, from seven UK email service providers. The engineering rate (7.1%) and the network rate (8.0%) are higher but count card views, not emails, and we found no independent offer-card benchmark.

Click rates: what Technology readers do: Lead Generation for Developer Tools: Engineers, Decision-Makers and Work-Email Supply. Last updated November 2026.
Segment People who saw cards Card views Clicks Click rate
Technology (all roles) 7,808 53,591 3,734 7.0%
Technology + Engineering & Software Development role 1,947 13,286 939 7.1%
Technology, United States 3,694 27,362 1,358 5.0%
Technology, outside the United States 4,105 26,217 2,376 9.1%

Offer-card views and clicks, 4 Oct to 3 Nov 2026 (30 days), by quiz respondents. The click rate is clicks divided by card views. The Technology rows cover the whole industry; the engineering row is Technology and the engineering role together. Source: Dupple Offer Network data, read 3 Nov 2026.

The country gap matters most here: the same Technology readers clicked at 9.1% outside the US and 5.0% in the US. Example target, not a forecast: 100 clicks at 7.1% need 1,409 card views (100 / 0.071 = 1,408.5, rounded up). At the Technology US rate of 5.0%, the same 100 clicks need 2,000 card views.

To work from a click rate to a cost per lead for your own offer, follow the cost-per-lead model for newsletter co-registration.

Seniority and company size inside the segment

Founders are 21.9% of engineers and individual contributors 16.8%. "Just me" is the largest company-size answer at 36.4%, and 2-10 adds 13.8%: together 50.2% (derived) work at companies of 10 or fewer. At the other end, 1000+ is 22.2%, the block a company-size rule selects.

For account-based marketing (ABM) in B2B SaaS, see ABM strategy for B2B SaaS in 2026.

Where engineers are, by country

Country is known for 84.6% of engineers, so 15.4% (derived) have none on file. Among known-country engineers, the United States share is 34.4%, followed by Spain 7.3%, United Kingdom 6.9%, Italy 6.4%, Poland 5.8% and Mexico 5.7%. Engineers known to be in the United States are 29.1% of all 6,418 (34.4% x 84.6%, derived); the Lead Generation page does not say how a country rule treats readers with no country on file.

The trade-off shows in the click data: outside the US, Technology readers clicked at 9.1% against 5.0% in the US, so a US-strict campaign gives up the higher rate. The data does not split the outside-US rate by country.

How the post-signup offer reaches a reader

A new subscriber who joins a Dupple newsletter picks a role, job level, industry and company size from fixed lists in a short quiz, and can then meet an advertiser's offer on the offer wall, in the welcome email or in the emails that follow. In some countries a single-offer screen shows one selected offer first. The reader chose to look at the offer, which is not a request for a sales call, not intent data and not a marketing-qualified lead (MQL) by itself.

Set the offer to targeted readers only and it shows to rule-matching readers alone; a reader with no recorded answer to a question cannot match a rule that asks it.

Pricing is per click (CPC) or per lead (CPL). The Lead Generation page lists no CPC or CPL price: applicants send their offer, terms and CPC or CPL, and Dupple reviews applications weekly. The exact lead definition is not published, so ask us. Dupple tags each click with its placement unless your link already sets its own utm_medium, and an offer can get a private live report of clicks by placement, which shows clicks, not results.

For how this model compares with buying content syndication leads, see co-registration vs content syndication.

How a campaign would be targeted

The live page lists four quiz dimensions: Industry (10 options), Job level (8), Role (14) and Company size (6: Just me, 2-10, 11-50, 51-200, 201-1000 and 1000+ employees). Country is set at country level, with strict mode. Inside one rule, all conditions apply together; a second rule (Rule A OR Rule B) can bring a different audience to the same offer.

Two example rules, built only from those options:

  • Rule A: Industry = Technology AND Role = Engineering & Software Development (optionally with Data & Analytics) AND Company size = 51-200, 201-1000 or 1000+ employees. Add Job level = Manager, Director/VP or C-Suite to narrow it to budget holders, or Job level = Individual Contributor for bottom-up adoption.
  • Rule B: Job level = Founder AND Company size = 2-10.
  • Country: United States, strict, or no country rule.

The live Lead Generation page itself shows "Engineering and data teams at large companies" as an example audience, built from Engineering & Software Development and Data & Analytics at 201-1000 and 1000+ employees.

What each condition costs in supply, from the segment shares. Company sizes 51-200, 201-1000 and 1000+ keep 40.6% of the Technology engineers. Manager, Director/VP and C-Suite together are 22.0% (14.2% + 5.2% + 2.6%, derived). Founder alone is 21.9%, and 2-10 alone is 13.8%. The data does not give the joint share of two conditions, so read each condition on its own.

The newsletter lever: Devshot is Dupple's daily developer newsletter, with 30,000+ subscribers. The quiz data has no breakdown by newsletter, so this page cannot say how many of the 6,418 engineers joined it.

For newsletter placements rather than post-signup offers, see advertising to software developers and devtools advertising.

What offers fit

The Lead Generation page lists these offer types as a fit: broad B2B tech offers a new subscriber can use right away, free newsletters, free tools and calculators (self-serve, with email capture), eBooks and guides on AI, marketing and engineering, and trial signups of SaaS (software as a service) products with short time-to-value. Dupple ranks offers by what readers do.

The engineer data points to the self-serve types. Half the segment (50.2%, derived) works at companies of 10 or fewer. Individual contributors are 16.8% of the segment, which suggests room for bottom-up adoption: a free tool or a trial can reach them without a sales team in between.

Engineers already pay for AI tools. Of the 2,035 who answered, 65.4% pay for AI, the median spend is $20 a month, and 11.5% spend $100 or more. A paid devtool therefore competes for a budget line that already exists. The 65.4% is far above the share among online respondents in nine countries: the Reuters Institute's Generative AI and News Report 2026 (University of Oxford; YouGov survey in nine countries, 14 Aug to 28 Sep 2026) found 10% paying for AI with their own money and 18% with any paid access, against 65.4% of the 2,035 engineers who answered here. The populations differ: online respondents in general, and engineers who had just subscribed to a Dupple newsletter. We found no independent figure for monthly AI spend to compare with the $20 median.

The quiz's option labels show Claude Pro 37.5%, ChatGPT Plus 31.7% and GitHub Copilot 7.5%, and several tools can be picked. The full AI table is on the AI products page.

For the leadership, sales, operations and product buyers inside Technology, see lead generation for B2B SaaS.

Limits

  • The answers are self-reported and chosen from fixed options. Company size is not answered by 1.4% of engineers, seniority by 0.2%, and country is unknown for 15.4% (derived).
  • The quiz covers role, job level, industry and company size. It says nothing about programming languages, cloud providers, the stack or team size, which a devtool buyer may need.
  • The AI figures come from 2,035 engineers, which is 31.7% of the 6,418 (derived), not from all engineers.
  • There is no breakdown by newsletter, so these engineers cannot be linked to Devshot or any other title.
  • The windows differ: quiz and email data cover 90 days to 3 Nov 2026, and click rates cover 30 days, 4 Oct to 3 Nov 2026. Do not combine them into one figure or pro-rate either.
  • Role-level click rates exist only for Technology and Finance & Banking respondents. The 7.1% covers Technology and engineering together (1,947 people), while the US split covers all Technology respondents.
  • A click is not a lead, and the quiz is not intent data. The non-consumer email share is an upper bound and does not say who the buyer is.

Data and sources

FAQ

How many engineers sign up in 90 days?

From 5 Aug to 3 Nov 2026, 6,418 new Dupple subscribers who answered the quiz work in Technology and Engineering & Software Development. Across all industries, 9,078 quiz respondents are in the engineering role group. These are quiz answers over 90 days, not buyers.

Can I target only engineers at large companies?

Yes, when the offer is set to targeted readers only, so that only readers who match the rules see it. Someone who skipped a question the rule uses never matches it. The Lead Generation page lists role and company size as targeting options. In the quiz data, 40.6% of the 6,418 Technology engineers work at 51 or more employees, and 582 of them (9.1%) are also decision-makers there, a 90-day count.

How many engineers have a work email?

Dupple cannot confirm business addresses from this data. Over 90 days to 3 Nov 2026, 950 of the 6,418 engineers (14.8%) use a non-consumer domain, which is an upper bound for business addresses. Among decision-makers at 51+ companies, the figure is 113 of 582 (19.4%).

Does the US perform differently?

Yes. In 30 days of offer data (4 Oct to 3 Nov 2026), Technology readers clicked 5.0% of offer cards in the United States and 9.1% outside it. The United States is 34.4% of engineers with a known country, so a US-strict setting keeps about a third of the engineers with a known country.

Do engineers already pay for AI tools?

Most do: 65.4% of the 2,035 engineers who answered the AI-tools question pay for AI, with a median of $20 a month (90 days to 3 Nov 2026). These answers describe the buyer's budget. They are not a targeting option on the Lead Generation page.

About this page

Dupple is the seller here: it runs newsletter advertising and post-signup lead generation, the latter priced per click or per lead. Its team wrote this page for developer-tool marketers from Offer Network data and the public Lead Generation page, read 3 Nov 2026.

How Dupple writes and updates its pages is set out in the editorial policy.

Some offers on this page may be paid placements or contain affiliate links.

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