--- title: "Data and Analytics Newsletters for Advertisers" url: "https://dupple.com/learn/best-data-and-analytics-newsletters-to-advertise-in" description: "Compare data and analytics newsletter sponsorships using publisher evidence, audience definitions and current placement questions." published: "2026-11-05" updated: "2026-11-05" llms_txt: "https://dupple.com/llms.txt" --- # Data and Analytics Newsletters for Advertisers Trusted by 790,000+ Techpresso subscribers · Editorial policy · How we make money Written by Dupple editorial team How our guides are researched . November 5, 2026 · Updated November 2026 6 min read Data Elixir and Data Science Weekly describe sponsorships in data-focused newsletters. Dupple's AIpresso and Techpresso offer broader AI and technology contexts. Compare the publisher's audience definition, editorial focus and actual placement against the data task your product addresses before buying. *Published and updated 5 November 2026.* Dupple publishes Techpresso, AIpresso, Devshot, Cyberpresso, Finpresso and MarketingShot, and sells sponsorships in them. Dupple publishes this guide and owns AIpresso and Techpresso. ## How we picked and ordered this list We selected newsletters whose publishers describe data-related content and sponsorships, plus Dupple's AI and technology newsletters as broader contexts. Entries are alphabetized by publication name, not ranked by audience size or campaign performance. The list is not exhaustive. Confirm current availability and terms with each publisher. Sources were checked on 5 November 2026: Dupple's [AIpresso page](https://dupple.com/advertise/aipresso), [Techpresso page](https://dupple.com/advertise/techpresso) and [audience data](https://dupple.com/advertise/data); [Data Elixir sponsorships](https://dataelixir.com/sponsors/); and [Data Science Weekly advertising](https://www.datascienceweekly.org/advertising). Audience descriptions and counts are publisher statements unless an independent audit is identified. ## Data newsletter options at a glance Table: publisher descriptions and buying questions, sources checked 5 November 2026. *Data newsletter options at a glance: Data and Analytics Newsletters for Advertisers. Checked November 2026.* | Publication | Published focus and audience evidence | Sponsorship information | What to confirm | | --- | --- | --- | --- | | AIpresso and Techpresso | Dupple describes AI and technology coverage. AIpresso states 28,000+ subscribers and Techpresso 790,000+, as of November 1, 2026. | Dupple offers newsletter sponsorships. | The issue, format and evidence relevant to the data role. | | Data Elixir | Its sponsor page describes data science, analytics and related practitioners and states 45,000+ subscribers. | The page invites sponsorship inquiries. | The issue, placement, audience method and current availability. | | Data Science Weekly | Its advertising page describes a weekly newsletter and an audience of about 60,000 data-related professionals. | The page describes sponsorship opportunities and a reservation process. | The current audience definition, dates and report for the proposed placement. | The publishers use subscriber and audience descriptions with different scopes. Dupple's counts are platform figures, not verified ad views. Data Elixir's subscriber claim and Data Science Weekly's approximate audience claim are self-reported. A newsletter topic does not establish that every reader is an analyst, engineer or purchaser. Ask for definitions and dates before comparing proposals. ## AIpresso and Techpresso: Dupple's broader context Dupple describes AIpresso as AI-focused and Techpresso as covering technology and AI. Their current Dupple subscriber tokens appear on the [AIpresso page](https://dupple.com/advertise/aipresso) and [Techpresso page](https://dupple.com/advertise/techpresso). Those platform counts do not establish how many data or analytics professionals receive a particular issue or see a sponsor. Ask which publication and format are available for the proposed offer. **Our data, verified November 2026:** Dupple's voluntary post-signup quiz recorded 1,813 technology-industry respondents who selected Data & Analytics between 5 August and 3 November 2026. Of those respondents, 11.9% identified themselves as decision makers. The [audience segment CSV](https://dupple.com/data/dupple-post-signup-audience-segments-2026-11-03.csv) records the sample and the [data page](https://dupple.com/advertise/data) explains the method. This self-reported group is not an AIpresso-only or Techpresso-only sample, all subscribers or a guaranteed issue audience. Dupple's platform and quiz figures are not independently audited. Dupple describes an in-issue [Primary Ad](https://dupple.com/advertise/primary-ad) and a separate [dedicated send](https://dupple.com/advertise/dedicated-send). Ask for availability, creative requirements and reporting. The [data teams audience guide](https://dupple.com/advertise/audiences/data-analytics-teams) describes a broader cross-industry quiz segment and its limitations. ## Data Elixir: data-science context Data Elixir's sponsor page describes a newsletter covering data science and says it reaches 45,000+ subscribers. It identifies roles including analysts, data scientists, engineers, researchers and technical leaders. These are publisher statements checked on 5 November 2026, not independently audited claims or a guarantee that a specific ad reaches each role. The sponsor page invites inquiries and offers a media kit. Request the current issue, placement, audience definition and sample report. A data-science context may be useful for an offer involving analysis or a technical workflow, but it does not prove that every recipient has the same responsibility or an active buying project. Explain the intended user and prerequisites in the campaign brief. ## Data Science Weekly: weekly practitioner newsletter Data Science Weekly describes a weekly newsletter for data scientists, engineers, machine learning researchers, developers and software engineers. Its advertising page states an audience of approximately 60,000 and describes sponsorship opportunities. It also mentions reservations, so ask about current availability and the intended issue rather than assuming a placement can run on a particular date. The approximate audience figure is the publisher's own claim; ask how it is defined and when it was last measured. A publisher's audience description is not a verified count of purchasers. Request a recent issue and clarify what a sponsor receives, how the placement is identified and which fields appear in the report. ## Match the offer to the data task Data professionals may analyze results, maintain pipelines, build models, manage infrastructure or explain findings to business teams. A dashboard product, ingestion tool and model-monitoring service address different workflows. Describe the specific problem and the user before comparing publications. A specialized data publication and a general technology newsletter can provide different contexts for the same offer. Separate the practitioner from the person who approves a purchase. An analyst may evaluate a tool while a data lead, security team or procurement team participates in the decision. Dupple's decision-maker quiz response is self-reported and does not establish authority over your product. Define the roles, organizations and use cases that count as relevant to your own campaign. Choose a next action suited to the offer. A technical guide may explain a method, a product tour can show a workflow and a demonstration request asks for more time. Make any prerequisites clear on the destination page. Test the page and form on mobile and desktop, and ensure that the promised resource or follow-up is available after the reader acts. ## Ask for comparable evidence Request the newsletter, issue date, placement, creative limits and a sample report. Ask whether a figure means subscribers, an audience estimate, survey respondents or another population. Request its date, collection method and role definitions. A self-selected survey can describe respondents without proving that the rest of a subscriber list has the same characteristics. Ask whether the role information is descriptive or an available selection for the proposed booking. Dupple's cited quiz does not establish a purchasable data-only segment. If a publisher cannot provide a current role count for the specific placement, keep it unknown rather than turning a general technology audience into a data-team guarantee. The [newsletter buying guide](https://dupple.com/learn/how-to-buy-newsletter-ads) provides a checklist. The [Primary Ad guide](https://dupple.com/learn/what-is-a-primary-ad) and [dedicated-send guide](https://dupple.com/learn/what-is-a-dedicated-send) explain two formats. Other publishers can use different names and positions, so request a preview and clarify what the report covers. Keep the approved creative, issue date and destination together in a shared brief. ## Review creative and disclosure Support factual claims and state material conditions. If a result comes from a particular customer or configuration, establish permission and explain the relevant context. Avoid presenting an isolated example as a guaranteed outcome. A technical audience should be able to understand what the product does and which environment it requires without relying on an unsupported claim. Ask for a preview showing sponsor identification. The US Federal Trade Commission's [native advertising guide](https://www.ftc.gov/business-guidance/resources/native-advertising-guide-businesses), checked 5 November 2026, discusses disclosure when advertising resembles editorial content. Applicable requirements depend on the placement and jurisdiction. Agree who approves the final copy and what happens if an issue date changes. ## Measure the result with clear units Define the desired action and qualified outcome before launch. A visit to documentation, event registration and qualified inquiry are separate events. Use consistent tags, test the destination and agree who will follow up. Compare the provider's report with your own analytics while allowing for consent, redirects and filtering. Review later outcomes after a defined period. Dupple says its reports include opens, clicks, click-through rate, benchmarks and corporate domains that engaged. Request the definitions that apply to the format. Reported email opens do not prove that an individual saw the ad. Apple's [Mail privacy guidance](https://support.apple.com/guide/mail/change-privacy-settings-mlhlae4a4fe6/mac), checked 5 November 2026, describes background downloading of remote content under privacy settings. The [CPM guide](https://dupple.com/learn/newsletter-cpm-explained) explains why the units differ. The [sponsorship ROI guide](https://dupple.com/learn/measure-newsletter-sponsorship-roi) describes connecting campaign activity to a business objective. Keep the offer, creative, timing and placement with the result. If those factors differ between campaigns, the difference cannot be attributed to the publisher alone. ## What we could not verify Data Elixir and Data Science Weekly figures are publisher statements. Dupple's platform and quiz data is not independently audited. We cannot verify the overlap between these audiences, individual purchasing authority or future campaign results. Open rates are not directly comparable across platforms without understanding their methods and filtering. Ask each publisher to confirm current figures and availability. ## FAQ **Which data newsletters describe sponsorships?** Data Elixir and Data Science Weekly describe sponsorship opportunities on their publisher pages. Confirm current dates and formats directly. **Does Dupple publish an AI newsletter?** Yes. Dupple describes AIpresso as AI-focused and sells sponsorships in its newsletters. **Is Dupple's quiz figure an AIpresso-only audience count?** No. It describes voluntary technology-industry Data & Analytics respondents across Dupple's quiz, not the recipients of a particular issue. **Are the publisher audience figures directly comparable?** Not without checking their units, populations, dates and collection methods. None is a verified count of ad viewers. **How is this list ordered?** Alphabetically by publication name, not by size or performance. Some offers on this page may be paid placements or contain affiliate links. 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