# Joel N.

Joel N. is a paid media consultant building HexSignal, a consultancy focused on strategy, campaign execution and measurement, particularly for B2B companies seeking senior-level support. Their work emphasizes choosing meaningful business outcomes and giving advertising platforms the right signals to optimize toward.

- Profile: https://b2binfluencer.marketing/creators/joel-n/
- LinkedIn: https://www.linkedin.com/in/ppc-joel
- LinkedIn followers: 2,622
- Topics: artificial-intelligence, paid-ads
- Based on 12 dated posts, latest 2026-10-06

## Summary

Most useful for B2B paid media strategy, campaign execution and measurement, especially senior-level support and deciding what platforms should optimize toward.

- Best for: B2B marketing agencies or B2B companies seeking senior paid media strategy and measurement support.
- Not for: Consumer brands or DTC companies buying sponsored-content influencer programs with reach targets and media kits.
- Check first: Confirm whether they offer sponsorships or brand partnerships, since posts do not say.

### Takeaways

- Platforms optimize toward the objective they are given; strategist decides if it is right.
- AI can carry analysis, but it should not own strategy.
- Shorter contracts make it easier for clients to leave, but favor earning renewals.

## Main ideas

- **AI can carry the analysis, but it should not own the strategy**: Joel says they trust AI with a lot in paid media — analyzing data, finding patterns, troubleshooting, research, and even helping make recommendations — but argues there is a big difference between helping inform strategy and actually owning it. The missing ingredient is context, which they describe as running deeper than the inputs you can hand over. You can and should give a model business goals, margins, sales cycle, historical performance, and internal constraints, but that still will not capture what the CEO actually cares about, whether sales is drowning in low-quality leads, or whether the best-performing campaign is attracting customers the business does not want.
- **The question is not whether AI replaces marketers, but what happens when everyone has the same AI**: Joel calls “will AI replace paid media marketers?” the wrong question and substitutes one about shared access. They argue AI can already write ad copy, build campaigns, suggest keywords, analyze search terms, and optimize bids, and that these capabilities are becoming available to everyone — which means execution stops being a competitive advantage. AI still depends on the signals it is given and what it is told success looks like. Choosing between a lead, a demo request, qualified pipeline, or revenue is a business decision, not a machine decision. Their conclusion: AI is commoditizing execution and increasing the value of strategic judgment.
- **A platform optimizes toward the objective it is given; the strategist decides whether that objective is right**: Joel describes a division of labour: as more execution is handed to platforms, the marketer's value shifts toward strategy and measurement. Platforms can allocate resources efficiently within their own systems, but they cannot determine a client's business strategy. Joel lists the questions platforms still cannot answer on their own — what to optimize for, how much to pay for growth, how the account should be structured, what demand to pursue, what message to put in front of people, how to interpret what happened, and when to override the machine. The platform optimizes toward the objective it is given; the strategist decides whether that objective was right in the first place.
- **Both camps in the AI debate are probably wrong**: Joel pushes back on two opposing camps: those who say anyone not adapting is being left behind, and those who dismiss all AI use as slop and its users as sellouts. They apply the same scepticism to paid media, noting that some people are ready to declare the agency model dead while others are still running single-keyword ad groups. Joel's position is that the answer is more nuanced than either side suggests. They do not think the agency model is dead, which is why they started HexSignal, but they also do not think the job looks the same as it did a year earlier. Their prediction: AI forces agencies to get better at the parts that actually require thinking.
- **Earn the renewal every month: shorter contracts and selective clients**: Joel prefers shorter-term client contracts while building HexSignal. The stated advantages are a lower barrier to sign-off because a client can change their mind on short notice, working with people who genuinely want to work with you rather than sweating out a long agreement, and replacing a big renewal presentation with earning the renewal monthly. The disadvantages are potentially less serious clients, less room for a testing and ramp period, less predictable income, and less rate certainty for the client. Joel is explicit that paid media needs time to test, learn, and optimize, and that this expectation has to be clear before either party signs.
- **Senior-level support without agency layers, with the consultant back in the accounts**: Joel describes HexSignal as a paid media consultancy helping companies turn better signals into better growth, with direct work on paid media strategy, execution, and measurement. The focus is B2B companies that want senior-level support without the layers of a traditional agency, and Joel says they will actually be in the ad accounts. The name carries the argument: “Hex” is an homage to PPC Bees, a small paid media business they started before joining an agency, and “Signal” is what they say they have spent a career looking for — the signals that matter and knowing what to do with them.

## Work to read

- [The HexSignal launch: what Joel is building now](https://www.linkedin.com/posts/ppc-joel_i-always-had-a-feeling-id-do-this-again-activity-7488313638437429249-5B24)
- [Will AI replace paid media marketers?](https://www.linkedin.com/posts/ppc-joel_will-ai-replace-paid-media-marketers-i-activity-7490812966406119424-7B6g)
- [Trusting AI with analysis, not with strategy](https://www.linkedin.com/posts/ppc-joel_last-week-i-posted-a-poll-asking-what-the-activity-7510865633459232768-V6-L)
- [The agency model isn't dead, but the job changes](https://www.linkedin.com/posts/ppc-joel_all-these-ai-conversations-are-getting-a-activity-7500635598098051072-eBgX)
- [Short-term versus long-term contracts](https://www.linkedin.com/posts/ppc-joel_short-term-vs-long-term-contracts-short-term-activity-7513299629632036864-3zOv)

## Brand relationships

- **HexSignal** (owned_business)
- **Metric Theory | A Monks Company** (employment)
- **PPC Bees** (owned_business)

## Partnerships

Joel N.’s posts describe HexSignal as a paid media consultancy they are building, not a sponsored-content product. They say they work directly in clients’ ad accounts, focusing on paid media strategy, execution and measurement for B2B companies seeking senior-level support without agency layers. They prefer shorter-term contracts to annual commitments, so clients stay because they want to, not because a contract requires it. Their five posts do not say whether they offer sponsorships or brand partnerships. Before planning spend, ask about availability, formats, rates, deliverables, disclosure practices and how to inquire.

## Alternatives

- Gonçalo Prates: Choose Gonçalo Prates when the agency needs to raise the standard of its performance team rather than add an outside senior strategist. They describe reviewing accounts, listening to client calls and defining “great” performance marketing across four pillars — strategic excellence, channel expertise, pattern recognition and judgment, and communication. They are hiring senior performance marketers to manage multiple B2B SaaS clients in an agency environment. Their ABM post addresses measurement: a manager kept being asked how the program was going, and a few seconds of LinkedIn impression data showed that accounts sales was actively pursuing had received barely any impressions across 90 days. The reusable diagnostic is to check whether the accounts the agency and the client’s sales team care about are actually being reached before judging the program. The post also lists reasons programs stall, including renewals, leadership change, budget already allocated, restructures and layoffs. For an agency seeking a hiring bar, a team capability plan and sales-aligned measurement for B2B SaaS clients, this is the stronger fit.
- James Congdon: Choose James Congdon when the agency faces a hiring decision — whether to bring in a permanent senior performance marketer instead of a consultant, or how to write and price the role. Their post on inflated agency titles describes the trap: someone with three years’ experience carrying a “Senior Performance Manager” or “Head of Digital” title without heading a team, then ruling themselves out of sensible moves because the next job looks like a step down. They argue employers should look at what the person actually did — managed people, owned a function, handled budgets — a useful framework when writing a senior-role job description and screening applicants. Their listing roundup gives current scope and salary ranges for performance roles across London, the US and remote, including B2B SaaS, eCommerce and growth positions, providing concrete market information for budgeting.
- Ciaran Finn: Choose Ciaran Finn when the agency’s clients are DTC or eCommerce and the key issue is Meta performance and creative-as-targeting, or when the agency wants an operator who has scaled an agency. They say they scaled an agency to $1M in ARR within two years of quitting a job and later grew it to $2.5 million in ARR in eCommerce. They credit three choices: taking on low-risk deals early to build experience, competing in a saturated niche through service quality, and hiring talent with leadership potential early. Their Meta Muse Spark post details multimodal processing of images and video, conversational shopping inside Instagram, Facebook and WhatsApp, and creative functioning as the new targeting signal. That is directly relevant to agencies running Meta campaigns for consumer brands.

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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/