Deloitte Employee Advocacy: Partners as Personal Brands

Deloitte employee advocacy on LinkedIn is a partnership on display: 18 advocates, 609 posts and 66,975 likes in twelve months, within the companies in our research corpus. One partner, Marc Beierschoder, produced 59% of those likes with 165 posts.

The 17 others include an executive coach who posts 20 times a year at a median of 360 likes, and the CEO of Deloitte France, who drew 1,203 likes on one post with 2,570 followers.

Each runs a personal brand where Deloitte is the employer line, and that is the pattern we measured, person by person.

The Deloitte figures on this page are measured within the companies in our research corpus over the twelve months to September 2026. Method and limits are at the end.

The Deloitte employee advocacy footprint, measured

Eighteen Deloitte employees posted three or more times in the window, our bar for an advocate. Their 609 posts collected 66,975 likes, about 3,700 per advocate, on a combined 271,868 followers.

The median post draws 26 likes. The gap between that median and the total is the first thing to understand about Deloitte: most posts are read by a professional circle, and a few voices lift the whole firm.

Deloitte voice

Role

Posts (12 mo)

Median likes

Total likes

Marc Beierschoder

Partner

165

69

39,547

Clif Mathews

Keynote speaker, executive coach

20

360

6,886

Shalini Lahiri

Strategist

52

80

4,971

Yassine Mahboub

Data & BI analytics consultant

26

168

4,868

David Dupont-Noel

CEO, Deloitte France

9

255

4,175

Anne Meyer

Partner

11

117

1,418

Deloitte employee advocacy footprint card: 18 advocates, 609 posts, 66,975 likes, top-1 share 59% (Marc Beierschoder), median post 26 likes

A top-1 share of 59% sits in the middle of our corpus: well under the one-person footprints of Capgemini (95%), SAP (94%) or IBM (90%), and well above the distributed programs at HubSpot (29%), AWS (35%) and Clay (38%).

Among professional-services firms, EY has 34 advocates in our corpus posting at a median of 44 likes. Deloitte has half as many people and posts at a lower median, with a far taller peak.

What is distinctive: Deloitte employee advocacy is partners as personal brands

Beierschoder's LinkedIn headline describes his own practice, scaling companies, and does not lead with the firm. Clif Mathews' headline is keynote speaker and executive coach. Yassine Mahboub's is a certification list. At Deloitte, the senior voices are personal brands first, and the firm is the line under the name.

The follower numbers make the point. Beierschoder alone has 147,437 followers, more than half of the eighteen advocates' combined 271,868. He built that audience on 165 posts a year, roughly three a week, on leadership and AI, not on Deloitte offerings.

The second signature is that cadence and reach pull in opposite directions across the team. The highest volume, Beierschoder's 165 posts, lands at a median of 69.

Mathews posts one eighth as often and lands at a median of 360. Dupont-Noel posts nine times and averages 464 likes per post, the best on the team.

Three of the six publish in a lane that has little to do with consulting:

  • Shalini Lahiri, beauty and consumer culture

  • Yassine Mahboub, Power BI and Fabric internals

  • Clif Mathews, how new leaders behave

That is what a personal brand looks like from the data: a subject the person owns, with the employer as context.

LinkedIn's Official Guide to Employee Advocacy puts the share of employees who ever share company content at about 3%. Our corpus only contains people who post, so it cannot say what share of Deloitte's headcount the eighteen represent; that limit is set out in our study across 1.3M posts.

What you can take from Deloitte's employee advocacy

What follows holds for any partnership or consultancy, not only one of Deloitte's size.

In a partnership, the partner is the brand; let them run it. Beierschoder's 59% comes from a partner treating LinkedIn as his practice's front door.

Firms that tolerate a personal headline, a personal subject and a personal cadence get this kind of reach. Firms that insist on the corporate line in every post get the company page.

The median is the lever. Mathews collects 6,886 likes on 20 posts; Beierschoder needs 165 posts for nearly six times that. Per post, by median, the coach lands five times harder.

A team of Mathews-cadence posters would out-reach a team of daily posters at a fraction of the effort, which is the argument for measuring median reach per member rather than post counts.

Technical consultants are an audience engine. Mahboub's Power BI breakdown drew 542 likes and 118 reposts, a repost for every five likes. Reference content gets saved and forwarded inside a profession, and that profession is the one a data practice hires from.

For measured programs at other firms, from HubSpot's spread to ColdIQ's dependence on one founder, see the employee advocacy case studies.

How each Deloitte voice works

Marc Beierschoder, Partner, the daily essayist

Beierschoder's best post of the year, a video from 15 May 2026, argues that giving AI systems names, avatars and seats on the org chart makes it easier for humans to stop owning their decisions: 2,787 likes, 82 reposts.

His second, from 1 May 2026, describes a workshop participant who seemed out of their depth and then sent an email that was too good to be theirs (2,112 likes, 103 comments, 137 reposts).

Marc Beierschoder, Deloitte partner, LinkedIn video post of 15 May 2026 on companies giving AI systems names, avatars and org-chart seats as digital coworkers, 2,787 likes

See the post

Both are video, both land in the same fortnight, both sit on one theme: human judgment in an AI workplace. Together they account for 4,899 likes, 12% of his year; the other 163 posts average about 213.

Volume builds the audience, and a handful of essays cash it in. His median of 69 is the price of posting three times a week.

Clif Mathews, keynote speaker and executive coach, the fewer-but-stronger poster

Mathews posted 20 times and holds the highest median on the team, 360 likes. His top post, from 1 March 2026, is about high performers who excel alone and struggle as a team, and the frameworks executives use to close that gap: 730 likes, 120 comments, 140 reposts.

The second, from 9 March 2026, tells newly promoted leaders that their worth is not their speed (533 likes, 122 comments).

Clif Mathews, Deloitte keynote speaker and executive coach, LinkedIn post of 1 March 2026 on why talented high performers struggle to work as a team, 730 likes

See the post

The ratio to watch is comments to likes: one comment for every four to six likes, and only Lahiri comes close. Leadership advice written in the second person invites replies, and each reply extends the post's life in the feed.

Both posts carry an image, both open with a single sentence, and both run a week apart: a cadence that trades presence for quality.

Shalini Lahiri, strategist, the culture lens

Lahiri is the second most frequent poster, 52 posts at a median of 80 likes. Her best, from 22 September 2025, reacts to a three-and-a-half-hour beauty podcast by Nikhil Kamath, watched while cleaning the kitchen: 366 likes, 79 comments.

The second, a video from 1 October 2025, is about the craft and heritage behind India's festive season (203 likes).

See the post

Three reposts on 366 likes is conversation content, argued in the comments and rarely forwarded, the opposite of Mahboub's reference sheets. A consumer strategist writing about consumer culture reaches the brand people she works with, and the firm's name never needs to appear.

Yassine Mahboub, data and BI analytics consultant, the reference sheet

Mahboub posted 26 times at a median of 168 likes to 22,195 followers. His best, from 29 December 2025, lays out what sits under a data and BI strategy as an iceberg: 542 likes, 118 reposts.

Two days later, on 31 December 2025, the twelfth entry in his numbered Microsoft Fabric series covers notebook DAGs in Data Factory (413 likes, 33 reposts).

See the post

The numbered series is the mechanism: a practitioner who publishes breakdown twelve has readers waiting for thirteen. Reposts at 22% of likes on the strategy post mean the content is filed away by other data teams, which is how a consultant becomes the name a hiring manager already knows.

David Dupont-Noel, CEO Deloitte France, the rare heavyweight

Dupont-Noel has 2,570 followers and posted nine times, yet collected 4,175 likes, the best per-post average on the team.

His top post, a video from 18 December 2025, celebrates 3,700 employees gathered at the Grand Palais for the year-end event and calls talent the firm's main driver: 1,203 likes and 140 reposts.

The second, from 9 December 2025, says the firm chose to create its own momentum rather than wait for the economy to improve (1,061 likes, 68 reposts).

See the post

Likes on his best post equal 47% of his follower count, and 140 reposts explain how: the post travelled through other people's networks, far beyond his own 2,570 followers.

He is the only Deloitte voice in this set whose reach depends on colleagues rather than on a personal audience, and the internal-advocacy pattern in its purest form.

Anne Meyer, Partner, the second partner

Meyer posted 11 times to 4,549 followers at a median of 117 likes, a better median than Beierschoder's on a fifteenth of his volume, for 1,418 likes in the year.

Her figures are the quiet version of the partner pattern: a modest audience, a steady median, no dependence on a viral post.

Where these facts come from

Nothing on this page is modelled. Between 7 September 2025 and 7 September 2026 our research corpus holds 1,333,072 LinkedIn posts by 39,729 professionals; we kept the posts whose author gives Deloitte as their current company and counted anyone with three or more as an advocate.

Followers are summed once per profile, and the company page stays out.

What the sample is: the profiles MagicPost has imported, weighted towards B2B, sales-tech and big tech. It is not a census of LinkedIn, so eighteen advocates describes Deloitte as it appears in our sample, not the firm.

Each post is cited as recorded, with its date and a link; French posts are paraphrased, never translate-quoted.

Bring the consultants into Deloitte-style employee advocacy

If your partners already run their own brands, the next circle is the consultants who never post. MagicPost's employee advocacy platform is built for that circle: each consultant publishing in their own voice, with adoption and reach visible per member.

FAQ

Does Deloitte have an employee advocacy program?

Deloitte has 18 employee advocates on LinkedIn within the companies in our research corpus, each with three or more posts in the year, for 609 posts and 66,975 likes; partner Marc Beierschoder produces 59% of that reach.

A formal program is not visible from the outside. The data shows partners and consultants running personal brands, each on their own subject, with no single managed voice.

Who are Deloitte's biggest voices on LinkedIn?

Marc Beierschoder, a partner with 147,437 followers and 165 posts in the year, is Deloitte's biggest LinkedIn voice by a wide margin.

Behind him come Clif Mathews (executive coach, median 360 likes), Shalini Lahiri (strategist), Yassine Mahboub (data and BI consultant), David Dupont-Noel (CEO of Deloitte France) and partner Anne Meyer.

How concentrated is Deloitte's LinkedIn reach?

Deloitte's top-1 share is 59% within the companies in our research corpus, between the one-person footprints of Capgemini (95%) and IBM (90%) and the distributed programs at HubSpot (29%) and Clay (38%). The other 17 people share the remaining 41%, at a median of 26 likes per post.

What can consulting firms learn from Deloitte's employee advocacy?

Deloitte shows that in a partnership the partner is the brand: reach comes from senior people owning a subject and a headline of their own, with the firm as context.

Median reach per post matters more than cadence (20 posts at a median of 360 beat 165 posts at 69), and technical breakdowns that get reposted are the cheapest way to reach the profession a practice hires from.

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