Useful for B2B LinkedIn ads, measurement, trusted voices, and AI search visibility guidance tied to pipeline outcomes.
Best for
A B2B measurement or attribution vendor wanting LinkedIn Ads and AI search thought leadership with a real dataset.
Not for
Low-consideration, high-volume, bottom-funnel lead generation measured by last click, with no data partner.
Key takeaways
AI answers draw on the whole content system, not one best piece.
Measure paid media by influenced pipeline, not clicks.
LinkedIn Ads deserve a large share of B2B spend.
Check first: Confirm audience demographics, recent post results, and a real dataset before contacting them.
Main ideas
AI answers draw on the whole content system, not one best piece · Measure paid media by influenced pipeline, not clicks · LinkedIn Ads deserve a large share of B2B spend
Manuel Kekeisen’s LinkedIn posts focus on B2B marketing, especially LinkedIn advertising, measurement, and the role of trusted voices.
They share practical guidance, research, and discussions with marketers and agency leaders.
Kekeisen also highlights how AI is changing discovery and argues that brands need coordinated content across channels, not isolated campaigns.
Follow their work for concrete frameworks and examples of how to connect marketing activity to business outcomes.
Kekeisen connects strategy to implementation.
In posts about AI visibility, they turn cross-channel discovery into specific steps: build topic clusters, keep messaging consistent, coordinate teams, and earn outside validation.
On measurement, they recommend connecting paid and organic engagement with CRM pipeline and revenue rather than judging campaigns by surface-level metrics alone.
Their event recaps add a practical, conversational dimension, foregrounding marketers’ questions, feedback, and experience alongside presentations.
Taken together, the posts are most useful to B2B marketers looking for applied perspectives on LinkedIn campaigns, measurement, and changing discovery habits.
Manuel Kekeisen's posts push three connected habits for B2B marketing: plan across a whole content system rather than channel by channel, judge paid media by pipeline rather than clicks, and treat employees, creators, executives and partners as an activation problem with practical steps.
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Running through all of it is a preference for small, candid rooms over stages, and for carrying an argument with named partner research and specific numbers.
AI answers draw on the whole content system, not one best piece
Kekeisen's central argument about AI search is that models do not pick a single best article or campaign.
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They synthesise answers from signals across a brand's website, LinkedIn presence, third-party publications, media coverage and customer validation.
The operational conclusion: build topic clusters instead of isolated pieces, keep messaging consistent across platforms, align paid, SEO, social, PR and content teams, and earn external validation through thought leadership and contributed content.
The playbook post quotes the framing directly — stop thinking in channels and start thinking in systems — and says one great article or campaign is no longer enough for visibility in AI-generated answers.
The systems message is argued almost entirely through LinkedIn's own features, benchmarks and product roadmap, so the channel-agnostic advice arrives on a strongly LinkedIn-shaped vehicle.
The AI Visibility Playbook, launched with Davang Shah and team and credited to its collaborators, is the fullest statement.
At the London paid media workshop, Personio's Alex Venus described an "intelligence layer" that organises market, competitor, performance and strategic context before anyone reaches for agents and workflows.
Kekeisen approvingly relays a guest's comparison to mise-en-place.
Measure paid media by influenced pipeline, not clicks
The measurement thread is consistent: connect spend to MQL, SQL and opportunities; understand why attribution breaks between LinkedIn and a CRM; measure the dark funnel; handle cookie loss; and decide which tools to trust, including Insight Tag, CAPI, Revenue Attribution and DDA.
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Signal-based marketing is the stated method: take your own CRM data, enrich it with first-, second- or third-party signals, then activate targeted, personalised campaigns with measurable ROI. The goal is company-level visibility into who viewed or engaged across paid and organic, tied back to revenue rather than last-click reporting.
The Fibbler collaboration is the clearest example: an analysis of more than $100M in LinkedIn ad spend across 300 SMB SaaS companies examines how paid and organic campaigns combine to turn awareness into revenue.
Fibbler visualises which companies viewed or engaged and connects that activity to pipeline and revenue in the CRM.
The OMR Reviews & LinkedIn Agency Evening in Hamburg covered the same ground with more than 40 agency leaders, discussing CRM data enriched with signals before activation.
The case is quantitative, not just a general preference for the platform: LinkedIn is the largest single ad spend line, delivers the strongest return among major networks, and most of the buying journey happens before a sales pipeline exists.
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That points both budget and content toward pre-pipeline thought leadership. Before using the figures to set budgets, ask for the report's methodology.
Dreamdata's 2026 LinkedIn Ads Benchmarks Report is summarised through three takeaways: LinkedIn Ads account for the single largest share of ad spend at 41% (up two percentage points year on year); the platform has the strongest ROAS among major networks at 121%, and is the only one delivering positive return for B2B marketers; and 81% of the customer journey occurs before the sales pipeline. The post credits YOYABA's Matthis Janssen, a guest featured in the report, for sharing a Thought Leader Ads approach.
Trusted voices are an operations problem, not just a creative one
Kekeisen argues that B2B marketing increasingly relies on employees, creators, executives and partners, and that shared work produces shared visibility.
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The distinctive part is the checklist: choose authentic voices, align the message to the campaign goal, plan approvals early, publish from the right entity upfront, and build creator and employee content with scale in mind. Approvals, publishing identity and scale planning are campaign design decisions, not admin.
A one-pager on LinkedIn's Collaborative Posts feature explains the case and places it alongside Mentions and Reposts in an engagement toolkit. The same point runs through the London workshop, where the growing importance of creators and video formats was a central conclusion, and through the Dreamdata report's highlight of a client's Thought Leader Ads use.
Hosted events recur as a working method, and the format makes the case: invite a narrow group of senior decision-makers, co-host with an agency partner, keep presentations short, and reserve real time for two-way discussion and direct feedback.
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The posts report what attendees said as well as what was presented, and one dinner series is explicitly framed as listening to criticism, including where there is still work to do.
A first dinner in Hamburg with agency partner Inno ONE brought senior B2B marketing decision-makers together with no slides and no stage.
It was announced as the start of a series, with stops planned in Berlin, Munich, Cologne and Frankfurt.
The London paid media workshop, promoted for 30 demand gen executives and run with YOYABA, used a small interactive group, short presentations and panels.
Give partners' research the platform, then add the framing
The recurring method: take a partner's report, benchmark or webinar, explain what the partner does and why it matters, pull out two or three specific numbers or agenda items, add personal takeaways, and credit named contributors.
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Distribution goes to the partner; the post gains a data-backed subject instead of an opinion.
Dreamdata's report is summarised through three personal takeaways and a shout-out to a featured agency client; Fibbler's analysis is introduced with an explanation of what the company does; a Front Row B2B webinar is recommended with a full agenda and a note on the host agency's LinkedIn partner status in measurement and signals, naming Bjoern Sjut and Niall Donohoe; and the AI Visibility Playbook is launched with its collaborators credited.
This answers the question "What does AI search visibility actually require?" and gives newcomers Kekeisen's core argument for why channel-by-channel planning fails.
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Kekeisen introduces an AI Visibility Playbook, arguing that AI models synthesise answers from signals across an entire content ecosystem rather than picking one best piece. They write, "Stop thinking in channels and start thinking in systems," and list the building blocks: topic clusters instead of isolated pieces, consistent messaging across platforms, alignment between paid, SEO, social, PR and content teams, and external validation through thought leadership or contributed content.
For brands planning a campaign
For a paid media thought-leadership campaign, this suggests pairing LinkedIn Ads with coordinated organic, PR and third-party placements so AI-powered discovery finds the brand across sources. A brief commissioning only a single article or LinkedIn post would miss the systems argument.
This answers "How should a brand operationalize creator and employee content on LinkedIn?" and offers checklist items newcomers can reuse.
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Kekeisen explains LinkedIn's Collaborative Posts feature as a way to turn shared work into shared visibility.
They offer a short checklist: choose authentic voices, align the message with the campaign goal, plan approvals early, publish from the right entity upfront, and build creator and employee content with scale in mind.
The post argues that B2B content should make the strongest voices easier to activate, amplify and scale.
For brands planning a campaign
For a campaign using creators or employee advocates, the post shows that Kekeisen considers approvals and which account publishes a piece—not just content volume. It can shape a brief's production timeline and publishing plan, especially when paid amplification accompanies creator-led posts.
This answers "What does Kekeisen mean by influenced pipeline, and why should a B2B marketer care?" and shows the evidence they use: a large-sample spend analysis.
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Kekeisen shares an analysis with the Swedish company Fibbler of $100M+ in LinkedIn ad spend across 300 SMB SaaS companies, examining how paid and organic campaigns work together to turn awareness into revenue. They explain Fibbler's approach: visualising which companies viewed or engaged with LinkedIn Ads and organic content, then connecting that activity to pipeline and revenue in the CRM.
For brands planning a campaign
For a measurement-focused paid media brief, this is a direct example of the influenced-pipeline approach Kekeisen promotes. A campaign plan could include CRM-connected reporting on company-level engagement across paid and organic, rather than relying on last-click attribution alone.
This answers "What is the current case for LinkedIn Ads in B2B?" and gives newcomers three concrete benchmarks to anchor a campaign rationale.
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Kekeisen highlights three takeaways from Dreamdata's 2026 LinkedIn Ads Benchmarks Report: LinkedIn Ads remain the single largest ad spend at 41% (+2ppt year on year); they generate the strongest ROAS among major networks (121%) and are the only platform to deliver positive return for B2B marketers; and 81% of the customer journey happens before the sales pipeline. They also credit YOYABA's Matthis Janssen for sharing a Thought Leader Ads approach in the report.
For brands planning a campaign
For a paid media brief, these numbers make the case for putting LinkedIn at the centre of a B2B plan and investing in pre-pipeline content. The 81% pre-pipeline figure supports a thought-leadership focus over purely bottom-funnel lead generation.
This answers "What does Kekeisen do beyond posting?" and shows how the event format and themes—AI, creators, video—shape their current thinking.
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Kekeisen recaps hosting a B2B Paid Media Workshop at LinkedIn's London office with agency YOYABA and a small group of UK tech and SaaS marketing leaders.
The discussion covered how AI is reshaping performance marketing, the growing role of LLMs, and the increasing importance of creators and video.
They highlight Alex Venus of Personio describing an "intelligence layer" that organises market, competitor, performance and strategic context before agents and workflows.
For brands planning a campaign
For a thought-leadership campaign, this shows Kekeisen using small, interactive formats for brands and agencies to exchange practical experience. A brief could propose a similar workshop or roundtable as a content source, then repurpose the discussion into assets.
This answers "How does Kekeisen apply measurement ideas with agencies?" and shows the signal-based marketing vocabulary they use with senior B2B marketers.
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Kekeisen describes piloting an OMR Reviews & LinkedIn Agency Evening in Hamburg with more than 40 agency leaders.
The topic was measurement and signal-based marketing: enriching CRM data with first-, second- or third-party signals, then activating targeted campaigns with measurable ROI.
They mention discussing implementation with Marvin Müller and thank OMR's Philipp Westermeyer for opening the event.
For brands planning a campaign
For a measurement-focused brief, this connects Kekeisen's LinkedIn Ads work to signal-based marketing and CRM enrichment. A campaign plan could start with the brand's CRM data, layer in external signals, then activate LinkedIn campaigns.
LinkedIn Ads measurement, attribution and pipeline proof4
Curating and framing partner research4
AI search visibility and content systems3
Trusted voices: creators, employees, executives and partners3
LinkedIn Ads measurement, attribution and pipeline proof
Measurement is the recurring theme.
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At the OMR Reviews and LinkedIn Agency Evening in Hamburg, the discussion covered signal-based marketing: enriching CRM data with first-, second- and third-party signals, then activating targeted, personalised campaigns with measurable ROI.
A webinar promotion by Front Row B2B sets out the same agenda in detail: connecting spend to MQL, SQL and opportunities; why attribution breaks between LinkedIn and a CRM; measuring the dark funnel; handling cookie loss; and which tools to trust, including Insight Tag, CAPI, Revenue Attribution and DDA.
The Fibbler collaboration frames influenced pipeline as the future of LinkedIn Ads measurement, citing an analysis of more than $100M in LinkedIn ad spend across 300 SMB SaaS companies and asking how paid and organic campaigns combine to turn awareness into revenue.
Dreamdata's 2026 benchmarks are distilled into three takeaways: LinkedIn Ads account for the largest single share of ad spend at 41% of the total, deliver the strongest ROAS among major networks at 121%, and see 81% of the customer journey happen before the sales pipeline.
Arguments draw on named third-party research or partner webinar agendas with concrete bullet points, not general opinion.
The measurement case rests mainly on partner reports and webinars; the posts relay and frame that evidence rather than presenting original data. Ask for original-data examples if that matters to the brief.
For brands planning a campaign
A paid media thought-leadership piece should lead with pipeline impact, not reach. Attribution mechanics, CRM signal design and dark-funnel measurement are the strongest topics here, backed by named third-party data from Fibbler's spend analysis and Dreamdata's benchmarks rather than platform claims alone.
The AI Visibility Playbook post argues that AI models do not identify a single best piece of content; they synthesise answers from signals across an entire content ecosystem — website, LinkedIn presence, third-party publications, media coverage and customer validation.
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Its building blocks are topic clusters instead of isolated pieces, consistent messaging across platforms, alignment between paid, SEO, social, PR and content teams, and external validation through thought leadership or contributed content.
The same shift shaped the London paid media workshop, which explored how AI is reshaping performance marketing through LLMs, creators and video formats.
Its conclusion: creativity and external voices matter more, not less.
A Personio marketer compared the groundwork to mise-en-place — a solid intelligence layer organising market, competitor, performance and strategic context before turning to agents and workflows.
The workshop promotion promised a LinkedIn product roadmap preview and the latest studies on LLMs and broad discovery.
Uses a playbook developed with named collaborators to organise the argument, then explains the reasoning behind each building block.
For brands planning a campaign
For an AI search visibility plan, focus on systems, not channels: how a campaign connects the website, LinkedIn, earned media and outside voices to keep the message consistent wherever AI looks. The Personio intelligence-layer framing offers a concrete analogy for the groundwork a brand must do first.
Trusted voices: creators, employees, executives and partners
LinkedIn's Collaborative Posts feature is framed around the idea that B2B marketing increasingly runs on trusted voices — employees, creators, executives and partners — and that shared work brings shared visibility.
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The post pairs the concept with a practical checklist: choose authentic voices, align the message with the campaign goal, plan approvals early, publish from the right entity upfront, and build creator and employee content with scale in mind.
It positions the feature alongside Mentions and Reposts.
The London workshop named the growing importance of creators and video formats as a central point, while Dreamdata's report highlights a client's use of Thought Leader Ads as a strategic format.
For brands planning a campaign
A creator or employee amplification brief can centre on activation mechanics — voice selection, approval timing and publishing entity — rather than audience reach. The checklist translates directly into campaign-planning questions to answer before scaling a partner-content programme.
A distinct format recurs: live and virtual events co-hosted with agencies and platform partners.
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The London paid media workshop brought UK tech and SaaS marketing leaders together in a small, highly interactive group for short presentations and open exchange, avoiding a large-conference feel.
Its promotion targeted 30 demand gen executives and described a mix of short presentations and panels.
The first OMR Reviews and LinkedIn Agency Evening in Hamburg drew more than 40 agency leaders for a measurement discussion, followed by drinks and food.
A new dinner series with agency partner Inno ONE gathered senior B2B marketing decision-makers without slides or a stage, explicitly to hear direct feedback, with follow-up stops planned in Berlin, Munich, Cologne and Frankfurt.
A partner webinar is also recommended, with an agenda of specific measurement questions.
Events are co-hosted with named partners and framed as two-way conversations; posts report what attendees said as well as what was presented.
For brands planning a campaign
For live or virtual programming, the format is a focused invitation list, agency co-hosting and an agenda built around one sharp question — measurement or AI's effect on paid media — with time for candid feedback rather than broadcast. A series format and multi-city rollout can extend a single event.
Several posts point readers to someone else's asset and add editorial framing.
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Dreamdata's report is distilled into three personal takeaways and a shout-out to a featured agency client; Fibbler's analysis is introduced with an explanation of what the company does and why pipeline attribution matters; the Front Row webinar is recommended with a full agenda and a note on the host agency's LinkedIn partner status; and the AI Visibility Playbook is launched with the collaborators credited and its core argument quoted. Partners gain distribution for their reports and webinars, while the post gets a substantive, data-backed subject.
For brands planning a campaign
This pattern suits co-marketing: a brand supplies the research or asset, while the creator frames it, selects highlights and connects them to a broader argument. The posts rely on specific numbers and named contributors, so provide a report or webinar with quotable findings.
Kekeisen's posts show an employment relationship with LinkedIn, the platform they write about and sell against, as well as working relationships with YOYABA, Inno ONE and OMR Reviews, all tied to B2B marketing events they co-hosted.
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They also recommend or reference partner programmes from B2B marketing vendors Front Row B2B, Fibbler and Dreamdata. The posts do not disclose whether these recommendations or references involve sponsorship, affiliate, investment or other commercial terms; ask Kekeisen to clarify.
LinkedIn
Employment
Kekeisen works at LinkedIn.
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Their posts speak from inside the company — 'our LinkedIn London office', 'our LinkedIn Marketing Partner program', and a promise to share 'a sneak peek on LinkedIn's product roadmap'. They also write explainers on new LinkedIn features such as Collaborative Posts for marketers.
Kekeisen describes YOYABA as an agency partner and repeatedly co-hosts with them: a B2B paid media workshop for UK tech and SaaS marketing leaders at LinkedIn's London office, a paid media excellence workshop for 30 demand gen executives, and a thought leadership campaign built around YOYABA's Matthis Janssen.
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They thank 'team YOYABA' for collaborating on the London event.
Kekeisen called Inno ONE 'our trusted agency partner'.
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Together, they hosted the first edition of a Hamburg dinner series for senior B2B marketing decision-makers. Kekeisen framed the event as a chance to gather direct feedback on LinkedIn Marketing for LinkedIn.
Kekeisen piloted the first OMR Reviews & LinkedIn Agency Evening in Hamburg, bringing together more than 40 agency leaders at the OMR office to discuss measurement and signal-based marketing.
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They thanked the OMR Reviews team for hosting and organising the event and said they looked forward to more joint events.
Kekeisen recommended a Front Row B2B webinar on measuring LinkedIn Ads from spend through to opportunities, describing Front Row as one of the biggest independent agencies in DACH and the first agency named a certified LinkedIn marketing partner within Measurement and Signals.
Kekeisen highlighted Fibbler as a recent addition to LinkedIn's Marketing Partner programme and shared its analysis of more than $100M in LinkedIn ad spend across 300 SMB SaaS companies, examining how paid and organic campaigns combine to drive pipeline.
Start with the AI Visibility Playbook post for the fullest account of how Manuel Kekeisen thinks about search and content.
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The posts fall into three practical strands: LinkedIn Ads measurement (the Fibbler spend analysis, Dreamdata's 2026 benchmarks and the OMR Reviews agency evening); AI search and cross-channel content systems; and the mechanics of activating employees, creators and partners.
A fourth strand is the format itself: small invited rooms in London and Hamburg, plus webinar recommendations.
The collaborative-posts one-pager shows how the practical checklists are put together; the measurement posts offer the most on campaign planning.
Venus co-presented with Manuel Kekeisen at the London paid media event. Venus's argument that owning a single channel is no longer the job sits alongside their systems framing: media, content and measurement planned together rather than channel by channel.
Venus writes as an in-house growth leader, describing what AI infrastructure looks like inside one company, which agents already affect performance and where the next year is headed. Kekeisen writes from the platform and partnership side, often relaying partner research, benchmarks and takeaways from hosted conversations.
Shares Kekeisen's dissatisfaction with attribution-only measurement and the case for judging media by influenced pipeline rather than last click.
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Both track how AI-led discovery and commerce change how budgets and measurement are planned, and argue that social and other non-converting channels are undervalued by platform-reported ROI.
Handley argues for a performance practitioner's test plan: MMM alongside incrementality testing such as causal impact and geo holdouts, plus practical warnings about feed optimisation, security and data ownership. Kekeisen tends to frame third-party benchmarks and partner reports and set the discussion at industry level.
Both focus on LinkedIn Ads and make an explicit measurement argument: LinkedIn builds intent rather than capturing it, so last-touch reporting structurally understates it; influenced pipeline and influenced revenue are what should be tracked.
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Casano also names the attribution tools Kekeisen covers, including Revenue Attribution, Fibbler, Dreamdata and HockeyStack.
Casano's posts are account-level audits with step-by-step fixes and conversion-rate numbers, such as lead gen forms replacing website visits and the resulting drop in cost per lead. Kekeisen's posts stay at strategy level, framing partner benchmarks and hosting conversations rather than walking through campaign mechanics.
Manuel Kekeisen’s content targets working B2B marketing professionals, not a general consumer audience.
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The clearest signals come from event and partnership announcements: a paid media workshop at the LinkedIn London office for UK tech and SaaS marketing leaders, a Hamburg dinner for senior B2B marketing decision-makers, and a Hamburg agency evening that drew more than 40 agency leaders.
Two other posts promote resources and webinars from measurement-focused agency and analytics partners, and one invites 30 demand-generation executives to a London workshop.
Together, the posts speak to people who plan and buy B2B advertising, with recurring themes of LinkedIn Ads, measurement and signal-based marketing, trusted voices, and AI search visibility.
The posts show who Kekeisen is targeting, not who reads them.
The only measured audience figure published on the LinkedIn profile is the follower count.
For a paid media thought-leadership campaign, ask Kekeisen or the relevant team for LinkedIn audience demographics, including geography and seniority if available, and recent post-level results—impressions, engagement, and any audience breakdowns—for comparable topics such as AI search visibility and LinkedIn Ads measurement.
Ask how event-focused posts perform against resource and guide posts.
LinkedIn followers
6,326
LinkedIn profile record for Manuel Kekeisen · 2026-10-09
Manuel Kekeisen's posts show collaboration through co-hosted events and co-branded content rather than a personal sponsorship offer.
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Recurring formats include small invitation-only workshops and dinners run jointly with agency partners, agency-facing webinars, and amplification of partner research and product guides.
Each is described as a joint effort with named teams or agencies: the partner co-organises, supplies the audience or data, and works to a small, senior-room format.
No published rate card, media kit, sponsorship policy or official partnership enquiry route appears in the posts; ask the agency partners and LinkedIn marketing contacts Kekeisen names how to enquire.
Co-hosted paid media workshops and dinners
Buyer requirement
The agency partner co-organises and helps fill a deliberately small room of senior B2B marketing decision-makers.
Kekeisen's posts describe a paid media workshop with YOYABA at the LinkedIn London office, bringing in UK tech and SaaS marketing leaders, and a first Hamburg dinner with agency partner Inno ONE, with further dates planned for Berlin, Munich, Cologne and Frankfurt.
Plan for joint promotion, a short presentation slot and a venue where people actually talk: the posts stress no slides, no stage.
Agency or vendor webinars
Buyer requirement
The partner delivers the session, while Kekeisen promotes it to their audience with named speakers and a concrete agenda.
Front Row B2B's measurement webinar is the example: connecting spend to MQL, SQL and opportunities, fixing attribution between LinkedIn and the CRM, measuring the dark funnel, and deciding which tools to trust.
Expect to supply the practitioner content, not just the sponsorship.
Co-branded benchmark reports and data studies
Buyer requirement
The partner contributes the underlying data or analysis, and Kekeisen publishes their own takeaways.
Posts cover the Dreamdata 2026 LinkedIn Ads benchmarks — 41% of ad spend on LinkedIn, 121% ROAS, 81% of the journey before pipeline — and a Fibbler study of over $100M in LinkedIn ad spend across 300 SMB SaaS companies.
Budget time to share the dataset and agree on the framing before publication.
Product guides and collaborative content
Buyer requirement
The partner aligns the message with the campaign goal, secures approvals early and publishes from the right entity from the outset. Kekeisen's one-pager on LinkedIn Collaborative Posts sets out the working conditions: choose authentic voices, plan approvals early, publish from the right entity upfront, and build creator and employee content with scale in mind.
Thought leadership and creator amplification
Buyer requirement
The partner supplies credible external voices — employees, creators, executives or clients — rather than more brand-owned output.
Kekeisen frames B2B content as powered by trusted voices and cites YOYABA's use of Thought Leader Ads with its clients as the working example.
Expect to nominate specific people and clear them for paid amplification.
Strong fit. This campaign sits on the deepest and most repeated subject in the posts, and supplies the two things their collaboration pattern needs: quotable findings and a partner who co-organises the room.
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Brief
A B2B measurement or attribution vendor wants a four-to-six week LinkedIn Ads and AI search visibility thought-leadership programme. The brand brings a proprietary dataset drawn from CRM-connected pipeline data and wants a senior demand-generation roundtable in London or a German city, with the discussion repurposed into a benchmark report, a checklist one-pager and paid amplification.
Reasons
Measurement is the spine of the posts. They cover signal-based marketing and CRM enrichment at an agency evening in Hamburg, the full agenda behind an attribution webinar, an influenced-pipeline argument built on an analysis of more than $100M in LinkedIn ad spend across 300 SMB SaaS companies, and a three-point summary of LinkedIn Ads benchmarks. Paid media lands where Kekeisen is most fluent.
The pattern for co-branded research is established. Partner reports and playbooks explain what the partner does, present the headline numbers, and add Kekeisen's takeaways rather than offering a bare link. A brand with a real dataset fits that pattern; one with nothing to say does not.
The AI search visibility angle has a ready framing. Kekeisen's playbook post argues that AI models synthesise answers from signals across a whole content ecosystem. The building blocks are topic clusters, consistent messaging, alignment between paid, SEO, social, PR and content teams, and external validation. A campaign seeking both paid media and AI discoverability can use that systems argument instead of forcing two separate stories together.
The event format suits a senior audience. Small invitation-only workshops and dinners, co-hosted with an agency partner, run with no slides and no stage. One series is already rolling out across Berlin, Munich, Cologne and Frankfurt. A roundtable of 25 to 40 decision-makers matches the format shown in the posts, not a large conference.
Working conditions are documented. The posts spell out early approvals, publishing from the right entity, authentic voices and amplification through Thought Leader Ads. Build these into the campaign plan from the outset.
Conditions
Approach through the agency partners and LinkedIn marketing contacts named in the posts to ask about partnership opportunities; no public partnership enquiry route appears there.
The brand should own the dataset and analysis. The posts frame partner research rather than presenting original data, so a brief needs a real study to anchor the content.
Allow time to share the data and agree on framing before publication, as with the partner reports already covered.
When to choose a specialist
Poor fit. This campaign asks Kekeisen to argue against their own published position and produce formats the posts do not show.
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Brief
A low-consideration brand wants a four-week, high-volume, bottom-funnel lead-generation push: ten short product demo videos, price-led offer posts, LinkedIn treated as one channel among several, and cost per lead measured by last click, with no external data partner involved.
Reasons
The measurement framework conflicts with Kekeisen's published position. Their posts argue that most of the customer journey happens before the sales pipeline, and that influenced pipeline—connecting paid and organic touches to company-level revenue—is the more useful lens. A four-week last-click cost-per-lead target asks for the model they argue against.
The posts show Kekeisen framing and curating other people's research, not producing original datasets or hands-on product walkthroughs. They show no product testing or video and transcript evidence, and no indication that short demo assets are a format they work in.
The formats in the record are deliberate and small. The events covered are invitation-only dinners and workshops for senior marketing decision-makers, explicitly run without slides or a stage and intended as two-way conversations. That is the opposite of a volume, offer-led content sprint.
Ask for pricing and whether a one-off sponsored post is available; neither is published, which could stall a fast four-week turnaround in procurement.
The commercial pattern is joint work with named teams and agencies on shared assets. A campaign with no partner, dataset or senior room removes every element their collaboration model depends on.
What would change the answer
Move the target from last-click cost per lead to company-level influenced pipeline, with reporting definitions agreed before launch.
Extend the flight to allow time to plan a small roundtable and repurpose the discussion into at least one substantive asset.
Add a data partner or original study to give the content something specific to frame beyond product messaging.
A worked campaign example
Brief
The measurement vendor from the strong-fit case: a CRM-connected B2B analytics platform focused on LinkedIn Ads and AI search visibility, with six weeks, one senior roundtable, one benchmark asset and paid amplification.
Concept
“Your buyers arrive before the pipeline does.” Position the brand's dataset as the intelligence layer that shows demand forming before it reaches sales—the same mise-en-place idea of organising market, competitor and performance context before reaching for automation, applied to the brand's own data.
Measurement
Primary: company-level influenced pipeline, connecting engaged accounts to opportunities in the CRM, rather than last-click cost per lead.
Agree on reporting definitions and the comparison window before the launch post goes live.
Secondary: whether the topic cluster begins appearing in AI-generated answers for the core measurement question, checked at the start and end of the six weeks.
Next steps
Confirm dataset permissions and the brand-side data owner.
Agree which entity publishes the lead asset and roundtable recap, and when approvals are due.
Approach through the agency partner who would co-host the room; discuss commercial terms separately.
Sequence
Week 1 — data and framing. The brand’s data owner shares a de-identified slice of pipeline and signal data. Both sides agree on the three to five headline findings and who owns the numbers before writing begins.
Week 2 — lead asset. Create a short benchmark or playbook combining the brand’s dataset with the systems argument: topic clusters, consistent messaging across platforms, and alignment between paid, SEO, social, PR and content teams.
Week 3 — launch post with personal takeaways, a clear argument and a reason the numbers matter to a demand-generation leader planning next quarter.
Week 4 — roundtable. Bring together twenty-five to forty senior B2B marketing decision-makers for a session co-hosted with an agency partner. Center the discussion on one sharp question: how do you connect spend to pipeline when most of the journey happens before it? Start with brief framing, then open the discussion and record the feedback.
Week 5 — repurpose. Create a checklist one-pager from the discussion, plus a short second post on what attendees disagreed about.
Week 6 — amplification. Run Thought Leader Ads from the right company entity, with approvals planned early. Carry the same message across the brand site, LinkedIn, third-party publications and contributed content so AI-driven discovery finds it in more than one place.
What kekeisen contributes
Frame the findings with personal takeaways, following the style of the existing benchmark summaries rather than posting a bare link to the report.
Offer a worked viewpoint on how paid and organic touches combine to produce pipeline, and where attribution between LinkedIn and a CRM commonly breaks.
Develop the roundtable format and opening framing for a small, senior, no-slides session co-hosted with the brand and an agency partner.
Create a practical checklist one-pager on connecting spend to pipeline, following the pattern of the Collaborative Posts one-pager.
Choose Alex Venus when a campaign for a B2B measurement vendor needs a buyer-side, first-hand account of running AI-enabled growth inside a scaling SaaS brand, rather than platform-partner framing.
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Their posts report from the front: co-presenting a keynote on AI in paid media at a YOYABA and LinkedIn event in London, describing what AI infrastructure looks like at Personio today and which agents are already affecting performance, and arguing that owning one channel is no longer a job.
A separate post sets out a content-team rebuild around substance rather than slogans, with open roles for a head of content and a senior content marketing manager.
For a six-week programme, this material is closer to "what we changed inside our own growth team, and what happened next" than a partner-report summary.
It suits a single keynote or panel slot by an in-house operator better than hosting a small senior roundtable.
Venus's posts offer opinion and personal practice, not measurement analysis.
They include no dataset, attribution findings or co-branded research to anchor a benchmark asset, and show no hosted event series or agency co-creation pattern.
A campaign that needs quotable numbers, a co-organised room of senior decision-makers and a repurposable report would have to supply all three itself, relying on one operator's viewpoint rather than researched findings.
Choose Nick Handley when a campaign for a B2B measurement vendor centres on discovery change rather than LinkedIn specifically.
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Their posts explain how Google opened agentic commerce inside Gemini, what merchant feed attributes and the Universal Commerce Protocol mean for advertisers, and where to be sceptical about adoption, privacy and data ownership.
Another post argues that attribution alone undervalues social channels and points to MMM alongside incrementality testing such as causal impact and geo holdouts as ways to see contributed value.
That combination suits a paid media campaign that can challenge platform-reported numbers and widen the AI search visibility story beyond one network.
Handley's material is advertiser-side critique and education.
There is no visible hosted event, partner co-marketing or co-branded report with a data provider, leaving out the roundtable format and shared-asset model a vendor programme depends on.
The LinkedIn Ads detail is also thinner: there is nothing comparable to the analysis of more than $100M in LinkedIn ad spend or the LinkedIn Ads benchmark summaries, so a campaign built around LinkedIn's own formats and roadmap loses those anchors.
Choose Tom Casano when the audience is junior-to-mid practitioners executing LinkedIn campaigns and the goal is direct tactical teaching rather than a senior roundtable.
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The posts offer specific diagnoses and numbers: mobile friction on LinkedIn ads, a switch to Lead Gen Forms with stated conversion differences and cost-per-lead maths, and the case for influenced pipeline and influenced revenue, naming Fibbler, Dreamdata and HockeyStack. That suits a how-to asset or a short, high-volume series on LinkedIn ad mechanics and measurement tooling, where readers want a concrete fix they can apply this week.
Casano's posts are assertive tactic pieces, not research or peer-level discussion.
They include no dataset of their own or co-hosted event, so a benchmark report built on a vendor's data and a senior roundtable would need someone else to provide the substance those formats demand.
The confident, claim-forward register also differs from the careful framing a sceptical executive audience tends to expect in a vendor-led programme.
The nine posts published on Manuel Kekeisen's LinkedIn profile cover LinkedIn Ads measurement and attribution, AI search visibility and cross-channel content systems, creator and employee amplification, partner research, and the small senior marketing events they co-host with agency partners.
The posts recommend or summarise outside material — a Fibbler analysis of LinkedIn ad spend, Dreamdata's 2026 benchmarks report, a Front Row B2B webinar and an AI Visibility Playbook — whose full contents are not discussed in the posts here, so the detail inside those reports is not verified here.
The posts here do not include articles, videos, transcripts or other channels.
Statements about employers, partners and other brands reflect only what the posts themselves say; where a post reports a finding from a partner's research, it is presented as the partner's data rather than as Kekeisen's own measurement.
Practical gaps remain for anyone planning work with Kekeisen: the posts contain no rate card, media kit or public sponsorship enquiry route, no audience demographics, geography or seniority breakdown, and no post-level performance figures.