# Joshua Stout

Joshua Stout shares practical advice and experiments on LinkedIn Ads and B2B demand generation, including campaign targeting, measurement, and how paid and organic marketing can support longer sales cycles.

- Profile: https://b2binfluencer.marketing/creators/joshua-stout/
- LinkedIn: https://www.linkedin.com/in/joshua-stout
- LinkedIn followers: 12,014
- Topics: b2b-marketing, b2b-demand-generation
- Based on 14 dated posts, latest 2026-10-09

## Summary

Joshua Stout is most useful for diagnosing LinkedIn Ads and B2B demand generation problems with practical tests.

- Best for: B2B SaaS or mid-market software teams with LinkedIn Ads clicks but few workable sales leads.
- Not for: Consumer, retail, or short-window paid social campaigns on Instagram or TikTok judged by purchases.
- Check first: Confirm audience demographics, seniority, job function, and engagement data before contacting them.

### Takeaways

- A one-month personalization test saw CPM and click-through rate double while cost per click stayed level.
- Stout says it is too early to credit personalization for the result.
- Failure patterns include Audience Expansion widening a tight target and CRM recording paid touch as Direct.

## Main ideas

- **B2B demand generation is slow, and paid and organic work together**: Stout argues that companies see ads and content for months before they ever appear as a lead or deal, so measuring LinkedIn Ads on short-window lead counts misreads what the channel does. In this view, demand generation means building awareness, nurturing prospects, staying in front of the buying committee, and building recall and trust over time, with organic and paid supporting each other rather than competing for credit.
- **Sell to the buying committee, not to one lead**: Stout's second recurring point is that a deal is shaped by several people, so a campaign judged on single leads undercounts its effect. Engaging more people before a deal is created is associated with better outcomes, and the combination of roles matters more than headcount alone.
- **Test one variable at a time, and do not call the result after a month**: Stout treats careful testing as the way to settle LinkedIn Ads questions: duplicate the campaign, change one thing, keep targeting and setup the same, then read results beyond clicks — including which campaign the CRM credits with the lead. The same post tracks LinkedIn's own personalization rollout as it moved from ad-copy intros into Lead Gen Forms and, reportedly, Message Ads subject lines. Stout does not declare a winner on early data: the test looked like a loss on some metrics and a gain on others at once.
- **Name the failure patterns so they can be checked**: Stout's most distinctive habit is teaching through comic catalogues of what goes wrong in LinkedIn Ads, in roughly the order a practitioner meets it: audience expansion wrecking a carefully built target, campaigns left running long after anyone remembers why, attribution that records a demo as coming from nowhere, every audience funnelled to the same demo page regardless of temperature, and campaigns judged within days of launch. The humour is the delivery method; the substance is a checklist readers can run against a real account.

## Work to read

- [The LinkedIn Ads Haunted House](https://www.linkedin.com/posts/joshua-stout_welcome-to-the-linkedin-ads-haunted-house-activity-7511799209055027200-BXvY)
- [If B2B marketing mistakes were horror movie villains](https://www.linkedin.com/posts/joshua-stout_linkedinads-b2bmarketing-activity-7514339141170466817-qBcS)
- [A one-month test of LinkedIn Ads personalization](https://www.linkedin.com/posts/joshua-stout_stout-linkedinads-b2bmarketing-activity-7508177482995638274-wlFU)
- [What a large LinkedIn Ads data study found](https://www.linkedin.com/posts/joshua-stout_factorsai-just-released-a-new-report-on-activity-7513281197842636800-uOBt)

## Brand relationships

- **Factors.ai** (mention)

## Partnerships

Four LinkedIn posts by Joshua Stout describe no sponsorship, paid partnership, or brand-collaboration format, and provide no official partnership inquiry route. They write as a practitioner sharing LinkedIn Ads testing and demand generation analysis: a one-month personalization test with campaign setup details, a summary of the Factors.ai LinkedIn Ads report, and two Halloween-themed posts cataloguing common B2B advertising failures. The Factors.ai report and an AJ Wilcox podcast episode are cited as sources they read and reacted to, not as commercial arrangements. Ask Stout directly by LinkedIn message what paid formats are available and what disclosure and approval practices apply.

## Alternatives

- Victoria Chapman: Choose Victoria Chapman over Joshua Stout when the need is multi-channel, not LinkedIn-only. The two posts are written for companies running Google Ads, LinkedIn Ads, and Meta at once, and describe measurement failures rather than ad-setup failures. The June 3 post covers conversion tracking that broke in December and went unnoticed until May, leaving six months of budget decisions based on partial data: campaigns were cut because their conversions stopped logging, while others got credit simply because everything else was broken. The June 4 post describes agency reports full of impressions, clicks, and conversion rates while pipeline and revenue stay flat. It names the alternatives it wants reported: cost per qualified lead, lead-to-opportunity conversion rate, and customer acquisition cost against lifetime value. A B2B SaaS company whose internal argument is “we think the channel works but the CRM can't prove it” will get more from this framing than from a LinkedIn campaign experiment. Chapman is also the better choice when the buyer wants an agency relationship rather than an advisor or co-created content: both posts close with a direct agency offer aimed at companies spending around £2,000 a month or more.
- Tom Casano: Choose Tom Casano over Joshua Stout when the account is producing clicks but leads stop at the form. The June 3 post makes one argument with a single lever: most LinkedIn ad accounts underperform because campaigns send mobile users to a website, while the platform's own lead forms remove that friction. It walks through the cost of the current setup, from seeing an ad while scrolling to typing details with a thumb, then offers an alternative with conversion ranges: gated content at 10 to 30 percent, bottom-of-funnel demos at 1 to 5 percent, and a typical website landing page around 1 percent. The May 27 post addresses the other half of the challenge: overcoming executive skepticism about LinkedIn. It contrasts last-touch attribution, built for banner ads, with a nine-month deal involving seven stakeholders, and points to influenced pipeline and revenue, LinkedIn's revenue attribution report, and third-party tools that match closed-won deals back to ad exposure even when nobody clicked. A brand whose sales director dismisses the channel because the CRM shows “Direct” gets a ready-made argument. Casano is also the better pick when the buyer has one narrow tactic to fix rather than a programme to design.
- Isaac Hyman: Choose Isaac Hyman only if the need is not customer acquisition at all. The October 2 post argues against switching email service providers to lower platform fees because migration affects segmentation, integrations, automations, reporting, and personalization—and a $50,000 annual software saving can cost $500,000 in incremental revenue. The December 26 post argues that low click rates are a strategy problem, not a design problem. It describes a campaign using dynamic content to show different creative to different segments, producing $180,000 from half the list. For a B2B SaaS company, the useful scenario is narrower than the others: ads are working and leads arrive, but revenue still does not move because value leaks from the follow-up email, nurture sequence, or landing page after the click. Hyman is the right alternative when the buyer wants to fix the destination rather than the traffic.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/