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Personalised Doesn’t Mean Relevant: A Smarter Way to Use LinkedIn’s New Ad Personalisation

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LinkedIn has expanded personalisation in sponsored content, allowing advertisers to dynamically insert information such as a user’s first name, job title, company or industry into single image and video ads. The appeal is obvious. Personalisation attracts attention, and attention is increasingly hard to earn.

But there is an important distinction for B2B marketers:

Knowing someone’s name isn’t the same as knowing what matters to them.

Personalisation Is Easy. Relevance Is Harder.

B2B marketers have seen this all before.

“Hi Sarah, as Marketing Director at Acme Ltd, we thought you’d be interested in…”

Technically, that’s personalised. But all it really demonstrates is access to profile data.

LinkedIn’s expanded functionality brings the same opportunity to more of its ad formats. Used lazily, it risks bringing one of the least appealing conventions of automated email into the LinkedIn feed. The difference comes down to what your ad actually demonstrates.

A useful hierarchy:

  1. Personalisation shows you know who someone is.
  2. Relevance shows you understand what matters to them.
  3. Insight shows you understand something useful about their situation.

The further down the list your ads get, the more reason someone has to pay attention.

So, When Should You Use It?

LinkedIn recommends using personalisation selectively and testing its impact. We agree, but some applications look considerably more useful than others.

Cold audience + first name: avoid.
Using someone’s name without an existing relationship adds little relevance and risks making the ad feel automated or intrusive. Save first-name personalisation for audiences that already have some relationship with the brand.

Top-of-funnel video: worth testing.
Personalisation could provide an effective pattern interrupt in the opening seconds. The test is whether that attention translates into meaningful engagement.

Role or industry + genuinely relevant message: useful.
Personalisation can strengthen creative already built around a real understanding of that audience and the issues that matter to them.

Strategic ABM + company name: strong opportunity.
Company personalisation becomes interesting when the idea itself is genuinely account-relevant.

Remarketing and engaged audiences: strong opportunity.
Previous engagement creates context for a more direct approach. As the relationship develops, personalisation is less likely to feel unexpected.

Generic creative + a macro: avoid.
Adding profile information to an undifferentiated ad won’t make the proposition more relevant.

A useful rule of thumb: the stronger the existing relationship, the more permission you have to personalise.

Test It Properly

Ideally, personalised creative should be tested against both a non-personalised version and a more audience-relevant alternative.

For example:

A: Improve your B2B marketing ROI.

B: Sarah, improve your B2B marketing ROI.

C: Three ways Marketing Directors can defend their 2027 budget.

Version B tests personalisation. Version C tests relevance. That’s a much more useful comparison.

But many niche B2B advertisers don’t have the audience size or media budget for a meaningful A/B test. Splitting a small campaign can simply produce two sets of inconclusive data.

In those cases, benchmark performance against the most comparable previous campaigns available, considering audience, format, objective, investment and proposition. Look beyond click-through rate to engagement and eventual conversion.

It isn’t as rigorous as a controlled experiment, but it’s more useful than forcing an A/B test your campaign can’t support.

Think Beyond the Ad

Personalisation creates an expectation.

Imagine seeing:

Sarah, see how Acme could improve its demand generation.

You click and arrive on: Welcome to our Demand Generation Services.

The experience has gone from apparently personal to obviously generic in one click.

That doesn’t mean building a unique landing page for every prospect. The post-click experience simply needs to reflect the level of relevance promised by the advertising.

For an industry campaign, that might mean an industry-specific landing page. Role-based creative could lead to messaging and proof points tailored to that audience. For high-value ABM, there may be a case for account-specific content or experiences.

The more personalised the promise, the more relevant the experience that follows needs to be.

Personalisation should improve the journey, not end at the creative.

Personalisation Should Earn Its Place

LinkedIn’s new functionality gives B2B advertisers another creative tool, with some particularly interesting applications for video, ABM and remarketing.

But novelty won’t compensate for an irrelevant proposition or a disjointed buyer journey.

Before adding a personalisation macro to your next LinkedIn campaign, ask yourself three questions:

  1. Does it make the advertising more relevant?
  2. Can we meaningfully measure whether it works?
  3. Does the experience after the click live up to the promise?

If the answer to all three is yes, experiment.

Putting your prospect’s name in an ad is easy. Making their whole experience relevant is still the hard part.

Need help?

If you want a second opinion on where personalisation fits in your next LinkedIn campaign, why not book a free 30-minute consultation with one of our B2B digital marketing experts.

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Your Best Prospects Aren’t Filling in Your Forms

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B2B buyers research problems, compare suppliers and build confidence in a potential partner long before they speak to sales.

Meanwhile, marketing has become exceptionally good at measuring the most visible parts of the buying journey: impressions, clicks, downloads, form fills, conversion rates and MQLs.

But visibility to marketing isn’t the same thing as value to the business.

Take two users.

One, a job seeker, downloads an ebook after seeing a paid ad and gets popped into HubSpot.

The other reads three articles, sees your CEO’s latest post on LinkedIn, visits your website, asks ChatGPT to compare you with competitors, and then discusses your business internally. Which is more valuable?

When Measurement Starts Driving Behaviour

Measurement matters. Marketing leaders need to know what’s working, make better investment decisions, and demonstrate commercial impact.

The problem comes when measurability starts determining what we value.

Form fills are easy to count, so we optimise for them. Downloads create identifiable leads, so we gate content. Activity close to conversion is easier to attribute, so it receives more credit.

Marketing can become increasingly efficient at generating things that are easy to measure without becoming more effective at creating demand.

A thousand leads aren’t particularly useful if none are likely to buy. Thought leadership read by ten people on your target-account list might be considerably more valuable.

But the dashboard may tell a different story.

The Form Has Become Too Important

Forms still have a role. Someone requesting a consultation, quotation or demo is signalling genuine intent and there is a clear value exchange.

The equation looks different when we’re asking buyers to exchange their data simply to access useful content.

If the objective is to demonstrate expertise, build authority and influence a future purchasing decision, hiding your best thinking can limit its ability to do that job.

Content doesn’t have to generate a lead to generate value.

Qualified Demand Is a Better Objective

The purpose of B2B marketing is to increase the probability that the right organisations choose you when they’re ready to buy. That process begins long before an enquiry. Buyers need to discover your organisation, understand why it’s relevant, recognise its expertise and build enough confidence to include it on the shortlist.

Some of those interactions will be measurable. Many won’t. Together, they create qualified demand.

That changes the question marketing should ask:

How many leads did this generate?

becomes

Did this increase the likelihood of the right buyers choosing us?

The second is harder to measure. But it’s considerably more useful to the business.

Better Measurement Needs a Wider Lens

No single metric or attribution model can explain a complex B2B buying decision.

Lead volume, qualified pipeline, revenue, branded search, target-account engagement, returning visitors, content consumption and conversion rates all provide evidence. So do sales conversations, which often reveal buying journeys that look very different from those recorded in analytics.

The objective isn’t perfect attribution. It’s enough evidence to make better investment decisions.

Measure what you can. Just don’t mistake what is measurable for everything that matters.

The Risk of Optimising the Wrong Thing

Pressure to demonstrate efficiency naturally pushes investment towards activities with short feedback loops and easily attributable returns.

But continually optimising the bottom of the buying journey can’t create an unlimited supply of future customers.

Demand has to come from somewhere.

Marketing still has to create awareness, establish expertise and build preference before a buyer becomes an identifiable prospect.

Concentrate investment solely on what can be immediately attributed and, eventually, there is less demand left to capture.

Your Best Prospect Might Be Invisible

Right now, someone could be researching a problem your organisation is perfectly placed to solve.

They’re not in your CRM. They haven’t downloaded your guide. They aren’t an MQL.

But they may already know your name, understand your proposition and be deciding whether you belong on their shortlist.

Some of the most valuable marketing will influence people who can’t yet be identified, through interactions that can’t be completely attributed, long before the commercial outcome can be measured.

That demands a more sophisticated view of marketing accountability.

Because your best prospects aren’t necessarily filling in your forms.

And by the time they do, much of marketing’s most important work should already have happened.

Need help?

If this has you rethinking how you measure marketing’s real contribution, or you simply want a second opinion on your demand generation approach, why not book a free 30-minute consultation with one of our B2B digital marketing experts? We’ll do our best to be helpful.

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Your best technical content is hiding where AI can’t see it…

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…and it’s killing your sales pipeline

For decades, the most valuable content in technical B2B companies has lived in a strange place: the sales team’s outbox.

Datasheets. Application notes. Integration guides. Compatibility matrices. Indicative pricing. Case studies with real numbers in them. In manufacturing, engineering and energy businesses, this material has traditionally been treated as pre-sales collateral — shared selectively, one prospect at a time, once a conversation has started.

That model made sense when the buyer’s journey started with a conversation with a human. It won’t make sense in the future, because buyers’ journeys increasing start with questions put to an AI engine.

The new first steps of the B2B research journey

Apply the First Rule of Marketing Success and look at the world through the eyes of your target customer. A design engineer specifying a component, a building manager evaluating a retrofit, an energy consultant comparing network failure modes — these people are now asking ChatGPT, Claude, Gemini and Perplexity the kinds of detailed technical questions that, a year or so ago, only a sales engineer could have answered.

“How can I monitor partial discharge on 11kV switchgear without taking it out of service?” “Which factory-integrated BIPV roof systems have FM 4478 approval for fire and wind uplift?” “What solvent inventory limits and DSEAR zoning apply in a multi-tenant lab building, and how is flammables storage handled above those limits?”

The AI engine answers. And it answers by drawing on whatever it can read on the open web.

Here’s the challenge: your company almost certainly has superb answers to those questions. But if they’re sitting in PDFs that only get emailed out after a discovery call, the AI engine can’t see them. It will build its answer — and its recommendations — from whoever has published. The vendor whose application notes are open, crawlable HTML is the vendor who gets cited, compared favourably, and shortlisted. Meanwhile you'll lose the deal without even knowing you could have been in the running.

“But we’d be giving away the crown jewels!”

Expect to hear this understandable objection from sales leadership. Here’s the three part answer.

First: your competitors already have this material. Any halfway-motivated rival can obtain your datasheets and pricing through a friendly customer, a distributor or a plausible enquiry form. Gating doesn’t keep secrets from competitors — it only keeps them from buyers and, now, from the AI engines buyers rely on.

Second: the value exchange that justified gating has collapsed. The old logic was “we’ll give you the datasheet, you give us your email address.” But the modern technical buyer doesn’t need to hit your form and weigh that bargain — they ask the AI engine, get a synthesised answer from published sources, and never know your gated PDF existed. The option to trade content for leads is disappearing. Gating pre-sales technical content will just make you invisible.

Third: in technical industries, depth is the differentiator. Publishing genuinely useful specifications, tolerances, integration details and honest pricing guidance is the strongest possible signal — to buyers and to AI engines alike — that you’re the credible, authoritative choice. Thin marketing copy can’t compete with that, and neither can a competitor who’s still hoarding. Deep, open pre-sales content will put you at the top of the shortlist.

Where to start?

Convinced you need to open your content gates but worried how to start? The good news is that you don’t need to publish everything at once. Start with an audit: gather the documents your sales team most often sends in the first two or three interactions with a prospect. That’s your buried treasure — content already proven to answer real buyer questions.

Then get it onto the open web in a form AI engines can actually digest: proper HTML pages, not just gated PDFs; clear headings; specific numbers; plain-language explanations alongside the specs. It doesn’t need to be fancy – it needs to be public and readable.

The companies that win in AI-mediated buying research will be the ones whose expertise is findable. In technical B2B, that means accepting a new reality: the content you used to keep up your sleeve for the second meeting now has to do the job of getting you to the first one.

Need help?

If you think you might need help adapting your content marketing strategy, or if you’re just looking for a second opinion, why not book a free 30-minute consultation with one of our B2B content marketing experts? We’ll do our best to be helpful.

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Treat Authority as an Appreciating Asset, not a Marketing Expense

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Marketing has become increasingly good at proving its short-term value. Cost per lead, marketing qualified leads, return on ad spend and pipeline contribution have become familiar boardroom metrics. They’ve helped marketing become more accountable and more commercially aligned than ever before.

But AI is changing something fundamental. It’s rewarding investments that have historically been much harder to justify in the boardroom: expertise, authority, reputation, and trust.

Marketers now need to prove that authority should be treated like any other long-term business asset.

Marketing Learned to Speak the Language of Sales. Now It Needs to Speak Finance.

One of the most interesting shifts taking place today is that conversations about AI are becoming less technical and more financial.

The question is no longer whether AI search matters. It’s how organisations justify investing in it.

Traditionally, it has been relatively straightforward to build a business case for lead generation. Spend £X, generate Y leads and create Z pipeline. The relationship between investment and return is well understood by boards and finance teams alike.

Investment in authority has always been different.

Thought leadership, original research, executive visibility and customer evidence have often been dismissed as “brand activity”—valuable, but difficult to attribute directly to revenue.

The challenge is that AI search increasingly relies on exactly these signals when deciding which organisations deserve to be recommended.

The marketing activities that have historically been the hardest to justify are becoming some of the most commercially valuable.

Meanwhile, AI isn’t changing the value of authority. It’s changing how quickly authority translates into competitive advantage.

AI Rewards the Investments We’ve Historically Undervalued

As discussed in Once in a While, Marketing Changes Forever, AI search rewards organisations that invest early in assets that compound over time.

The same principle applies to the conversation between marketing and finance.

Authority, trust and reputation all compound.

Traditional budgeting processes often don’t.

The organisations that invested early in SEO didn’t simply generate more traffic. They accumulated content, backlinks, expertise and digital authority that became increasingly valuable year after year. The same happened with marketing automation. The same happened with executive thought leadership.

AI visibility appears to work in much the same way:

  • Every article published.
  • Every industry citation.
  • Every customer success story.
  • Every recognised expert inside the business.

Each one increases the likelihood that AI systems understand, trust and recommend your organisation.

None of these activities produce immediate results. Together, they create durable competitive advantage.

Speak to Your CFO Like an Investor, not a Marketer

Marketing has become increasingly good at demonstrating campaign performance, but less effective at explaining the long-term value of authority, expertise and trust.

That distinction matters.

Campaigns have start dates and end dates. Investments create assets.

When discussing AI search with finance teams, the conversation shouldn’t begin with rankings, impressions or content production.

It should begin with value creation.

Rather than asking for budget to produce more content, frame the investment as creating assets that increase the likelihood of your organisation being discovered, trusted and recommended throughout AI-assisted buying journeys.

Finance leaders don’t expect every investment to deliver an immediate return, but they do expect a credible hypothesis, measurable progress and disciplined execution.

Marketing investment should be no different.

Don’t Ask for the Whole Budget. Ask for the First Investment.

One of the easiest ways to build confidence with a CFO is to reduce the perceived risk.

Rather than requesting a significant multi-year AI budget, propose a well-defined pilot:

  • Three months
  • A clear hypothesis
  • A modest investment
  • Meaningful measures of success

Treat it as a proof of concept rather than a transformation programme.

Measure:

  • Changes in AI visibility
  • Branded search demand
  • Citation growth
  • Executive visibility
  • Engagement from high-intent website visitors

Then return with evidence rather than optimism.

It’s exactly how many finance teams are approaching AI themselves: start small, learn quickly and scale what works.

Gartner recommends that CFOs take a structured, disciplined approach to AI adoption, prioritising clear roadmaps and phased implementation to maximise business impact.

A sensible pilot might begin with an AI Discoverability Audit, benchmarking current authority, visibility and executive presence before building a phased investment roadmap.

Your CFO Might Be One of Your Most Valuable Marketing Assets

The strongest thought leaders in many organisations aren’t always found in the marketing department.

Increasingly, they’re CEOs, CTOs, Chief Product Officers—and CFOs.

A CFO who regularly publishes thoughtful perspectives on investment or business resilience isn’t just building a personal profile. They’re strengthening organisational credibility, and AI systems don’t distinguish between authority created by marketing and authority created by finance.

Sharp Ahead has previously explored why LinkedIn Content Creators are becoming one of the most underused assets in B2B marketing. The same principle applies here. The more recognised experts an organisation develops, the stronger its signals of expertise and authority become.

Working with your finance leaders as thought leaders will demonstrate the value of authority to them firsthand.

Marketing’s New Business Case

Gartner’s latest CMO Spend Survey found that while AI is now a strategic priority for CMOs, only 30% of marketing organisations are ready to scale it effectively.

Building authority has never been easy to justify when the alternative is another lead generation campaign with immediate, familiar metrics.

But this isn’t a choice between brand and performance.

It’s a recognition that some investments generate immediate returns, while others appreciate over time.

Marketing effectiveness expert Les Binet has long argued that organisations become too focused on short-term efficiency at the expense of long-term effectiveness. His landmark work with Peter Field, The Long and the Short of It, established one of marketing’s strongest evidence bases for balancing short-term activation with long-term brand building. More recently, Binet warned that many organisations are “optimising themselves to death” by pursuing ROI and efficiency while underinvesting in the scale and brand-building required for sustainable growth.

AI search reinforces that principle.

The organisations that succeed won’t abandon performance marketing. They’ll balance it with deliberate investment in the assets that compound:

  • Authority.
  • Expertise.
  • Trust.
  • Visibility.

A Different Conversation

So, perhaps the most important conversation marketing leaders need to have with their CFO is about investment philosophy.

The organisations that build lasting competitive advantage are rarely the ones that optimise every quarter perfectly. They’re the ones willing to invest in assets that become more valuable with time.

Businesses routinely invest in assets that appreciate over time—from intellectual property to technology platforms and acquisitions.

Authority deserves to be viewed in exactly the same way.

Not as a marketing expense.

But as an appreciating asset.

Where Should You Start?


Book a free 30-minute consultation with one of our experts to support your business case.

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