IT Procurement UK's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 63 posts analyzed

What is AuthorDNA?

AuthorDNA is a hidden linguistic profile - the subconscious patterns and habits unique to how someone writes. We analyze posts across 243 style metrics specific to B2B social content and compare them to thousands of other authors.

These are the markers most people don't even notice - but they're what makes writing sound authentic.

Does More Of...

Patterns you use more often than typical LinkedIn authors

Whether the post starts with an emoji
signature
25x more
See example from 18 Nov 2025
Proportion of hashtags using CamelCase
signature
6x more
Average character length of hashtags
signature
3x more
Percentage of emoji that are positive/celebratory
distinctive
10x more
See example from 18 Nov 2025
Balance between positive and negative emoji
distinctive
10x more
Percentage of lines containing at least one emoji
5x more
Number of emoji in the opening hook
6x more

Does Less Of...

Patterns you use less often - that's part of your style too!

Ratio of lines starting with punctuation
consistent
rarely
Percentage of sentences under 8 words
1.7x less
Percentage of auxiliary/helper verbs
1.4x less
How easy the text is to read (higher = easier)
consistent
1.3x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn’t realize, but you start your posts with an emoji 25 times more often than the average LinkedIn author. Not just any emoji, either - yours are overwhelmingly positive or celebratory, at a rate 10x above the norm. You’re not just opening the door to readers - you’re rolling out a confetti cannon every time you post.

Why does this work? Instantly, you signal energy, approachability, and a break from the usual corporate monotone. But try briefing this to a ghostwriter: “Start every post with a positive emoji, but not just any - make them feel like mini celebrations.” They’d stare blankly. This isn’t something you can fake with a checklist - it’s muscle memory, baked into your AuthorDNA. Even if you tried to do it on purpose, you’d struggle.

You post less than once a week, but every time, your distinct style lands with its own signature burst. This is exactly what Drumbeat captures - the patterns you can’t articulate but your audience feels. Your company’s message, in each team member’s authentic voice, at scale.

Style Evolution

How your writing has changed (Aug 2023 - Nov 2025)

Recent 40 posts since Dec 2023
vs
Earlier 23 posts before Dec 2023
Opening hashtags Declining (39% → 10%)
Less

Style patterns based on 63 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

07 Aug 2023 - 27 Nov 2025

0.5 posts/week avg
25/121 active weeks
96 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
CTAs using command verbs (Click, Share, Comment, etc.) 23% HIGH VARIES
Whether CTAs include emoji 14% of posts HIGH VARIES
Whether CTAs are concentrated at the end of the post 2% LOW VARIES
Average position of CTAs in the post Near top TYPICAL VARIES
CTAs phrased as questions vs statements 10% TYPICAL VARIES
Whether CTAs include hashtags 16% of posts TYPICAL VARIES
Whether any call-to-action exists 67% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 63% HIGH VARIES
Average number of emoji appearing together in clusters 14% HIGH VARIES
Balance between positive and negative emoji 45% HIGH VARIES
Count of neutral/functional emoji 0.0 - 3.2 HIGH VARIES
Count of positive/celebratory emoji 0.0 - 1.6 HIGH VARIES
Emoji count relative to sentence count 41% HIGH STEADY
Emoji density in CTA sections 0 - 108 HIGH VARIES
Emoji density in the hook section 9 - 82 HIGH STEADY
Emoji usage in the middle section of the post 7% HIGH VARIES
Emoji used to replace words entirely 31% HIGH VARIES
How consistently emoji pair with specific words 4% HIGH VARIES
How often the same emoji repeats across the post 5% HIGH VARIES
Largest group of adjacent emoji 14% HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.3 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 1.6 HIGH VARIES
Number of emoji in the opening hook 0.2 - 2.5 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 2% HIGH VARIES
Percentage of emoji that are neutral/functional 55% HIGH STEADY
Percentage of emoji that are positive/celebratory 45% HIGH VARIES
Percentage of lines containing at least one emoji 43% HIGH STEADY
Percentage of lines that contain only emoji 4% HIGH VARIES
Proportion of emoji appearing in clusters 5% HIGH VARIES
Whether the post starts with an emoji 71% HIGH STEADY
Average distance between repeated emoji 0% LOW STEADY
Count of negative/warning emoji ~0.0 LOW STEADY
How consistently the same emoji is used for bullets 0% LOW STEADY
Number of bullet point lines using emoji as markers ~0.0 LOW STEADY
Percentage of emoji that are negative/warning 0% LOW STEADY
Proportion of emoji that appear multiple times 0% LOW STEADY
Variety of different emoji used as bullets 0% LOW STEADY
Whether emoji are used as bullet point markers 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Emoji count per 1000 words 9% TYPICAL VARIES
Number of different emoji types used 0.0 - 1.5 TYPICAL VARIES
Total count of repeated emoji across the post 0.0 - 0.5 TYPICAL VARIES
Total number of emoji in the post 0.0 - 1.6 TYPICAL VARIES
Variety of different emoji used (unique/total ratio) 21% TYPICAL VARIES
Whether any emoji are used in the post 22% of posts TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Ratio of negative to positive contractions 143:1 HIGH VARIES
Usage of negative contractions (don't, won't, can't) 28% HIGH VARIES
Count of positive contractions used 21% LOW VARIES
Number of different contraction types 35% LOW VARIES
Total number of contractions 36% LOW VARIES
Usage of positive contractions (it's, I'm, we're) 39% LOW VARIES
Count of negative contractions used 16% TYPICAL VARIES
Percentage of words that are contractions 66% TYPICAL VARIES
Variety of different contractions used 28% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'as' per 1000 words 0-23 per 1k words HIGH VARIES
Usage of 'if' per 1000 words 0-15 per 1k words HIGH VARIES
Usage of 'because' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-14 per 1k words LOW VARIES
Usage of 'which' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-2 per 1k words LOW VARIES
Overall grammatical word usage 111 - 251 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 34 TYPICAL STEADY
Usage of 'and' per 1000 words 3 - 51 TYPICAL STEADY
Usage of 'at' per 1000 words 0-16 per 1k words TYPICAL VARIES
Usage of 'but' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0-25 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 35 TYPICAL VARIES
Usage of 'on' per 1000 words 0-22 per 1k words TYPICAL VARIES
Usage of 'so' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-19 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 14 - 64 TYPICAL STEADY
Usage of 'to' per 1000 words 0 - 45 TYPICAL VARIES
Usage of 'with' per 1000 words 0-23 per 1k words TYPICAL VARIES
Variety of function words used 33% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 11 - 16 HIGH STEADY
Proportion of hashtags in the opening 41% HIGH VARIES
Proportion of hashtags placed at the end 57% HIGH STEADY
Proportion of hashtags using CamelCase 93% HIGH STEADY
Whether the opening line contains a hashtag 41% HIGH VARIES
Proportion of all-lowercase hashtags 3% LOW VARIES
Ratio of inline hashtags to end hashtags 2% LOW VARIES
Hashtag density per 100 words 0.0 - 8.8 TYPICAL VARIES
Proportion of hashtags in ALL CAPS 4% TYPICAL VARIES
Proportion of hashtags woven into the text 3% TYPICAL VARIES
Total number of hashtags 0.0 - 4.4 TYPICAL VARIES
Whether any hashtags are used 51% of posts TYPICAL STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
ALL CAPS words in the hook 5% HIGH STEADY
Negation words in the hook 0.0 - 0.9 HIGH VARIES
Whether there's a blank line after the hook 29% HIGH VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
Character count of the hook 177 - 346 TYPICAL STEADY
Character position where the hook ends 177 - 346 TYPICAL STEADY
Hook length relative to total post 79% TYPICAL STEADY
Hook lines relative to total lines 74% TYPICAL STEADY
Number of emoji in the hook 0.0 - 1.0 TYPICAL VARIES
Use of 'you/your' in the hook 3% TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 79% TYPICAL STEADY
Whether the hook contains a question 14% of posts TYPICAL VARIES
Whether the hook contains emoji 18% of posts TYPICAL VARIES
Whether there's a clear opening hook section 25% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Number of visual text blocks 0.3 - 4.8 LOW STEADY
Percentage of single-word lines 0% LOW STEADY
Percentage of very short lines (<5 words) 8% LOW VARIES
Ratio of lines starting with ALL CAPS 0% LOW STEADY
Ratio of lines starting with punctuation 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Variation in line lengths 0 - 178 LOW VARIES
Average characters per line 81 - 268 TYPICAL STEADY
Average lines per text block 0.5 - 2.2 TYPICAL STEADY
Average spacing between blank lines 86% TYPICAL VARIES
Average words per line 10 - 43 TYPICAL STEADY
Blank lines per 100 total lines 0 - 35 TYPICAL VARIES
Lines containing exactly one sentence 48% TYPICAL STEADY
Predictability of line length pattern Very consistent TYPICAL VARIES
Proportion of blank space 16% TYPICAL VARIES
Ratio of lines starting with numbers 2% TYPICAL VARIES
Spacing between content-rich lines 83% TYPICAL VARIES
Variation in block sizes 51% TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per emoji list 5% LOW VARIES
Consistency of emoji bullet indentation 0% LOW STEADY
Number of dash/bullet list sections 0.0 - 0.2 LOW VARIES
Number of emoji bullet list sections 0.0 - 0.1 LOW VARIES
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Use of inline enumeration 0% LOW STEADY
Variety of emoji used as bullets 0% LOW STEADY
Whether emoji bullet lists are used 2% of posts LOW VARIES
Average items per dash/bullet list 13% TYPICAL VARIES
Consistency of numbered list formatting 3% TYPICAL VARIES
Nesting depth of numbered lists 16% TYPICAL VARIES
Number of numbered list sections 0.0 - 0.2 TYPICAL VARIES
Whether any list structure is used 8% of posts TYPICAL VARIES
Whether dash/bullet lists are used 3% of posts TYPICAL VARIES
Whether numbered lists are used 3% of posts TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Common idioms and expressions per 1000 words 0% LOW STEADY
Count of idiomatic expressions ~0.0 LOW STEADY
How often three-word phrases repeat 63% LOW VARIES
Count of words used only once 19 - 61 TYPICAL STEADY
How often two-word phrases repeat 0.0 - 8.2 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 2.4 TYPICAL VARIES
Number of unique words used 21 - 76 TYPICAL STEADY
Percentage of words used only once 85% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% TYPICAL STEADY
Unique words divided by total words 84% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with -ing verbs 0.0-0.5 per post HIGH VARIES
Count of sentences starting with There is/It is 0.0-0.3 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-0.7 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.3 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-0.9 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.4 per post HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 2% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 3% HIGH VARIES
Sentences starting with adverbs (%) 8% HIGH VARIES
Sentences starting with subordinate clauses (%) 5% HIGH VARIES
Sentences starting with time words (%) 2% HIGH VARIES
Count of sentences starting with conjunctions 0.0-0.3 per post TYPICAL VARIES
Count of sentences starting with pronouns 0.0-1.7 per post TYPICAL VARIES
Sentences starting with -ing verbs (%) 3% TYPICAL VARIES
Sentences starting with And, But, Or, So (%) 93% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 48 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
ALL CAPS words in the closing 4% HIGH VARIES
Whether the closing has a signature phrase 10% of posts LOW VARIES
Whether the closing has emoji clusters 2% LOW VARIES
Character length of the closing 161 - 381 TYPICAL STEADY
Closing length relative to total post 81% TYPICAL STEADY
Number of emoji in the closing 0.0 - 0.9 TYPICAL VARIES
Whether the ending has a call-to-action 22% of posts TYPICAL VARIES
Whether the ending includes emoji 18% of posts TYPICAL VARIES
Whether the ending includes hashtags 51% of posts TYPICAL STEADY
Whether the ending is a question 13% TYPICAL VARIES
Whether there's a clear closing section 64% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 1% HIGH VARIES
Consecutive long paragraphs 8% LOW VARIES
How frequently new paragraphs start 18 - 69 LOW STEADY
Average change in length between paragraphs 93% TYPICAL VARIES
Average sentences per paragraph 1.0 - 2.8 TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.8 TYPICAL STEADY
Consecutive short paragraphs 0.1 - 4.3 TYPICAL STEADY
How much paragraph length varies 0.0 - 5.0 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 0.9 - 3.6 TYPICAL STEADY
Opening paragraph length vs body average 76% TYPICAL STEADY
Total number of paragraphs 0.5 - 4.9 TYPICAL STEADY
Typical paragraph length (median) 0.9 - 2.7 TYPICAL STEADY
Variation in length changes between paragraphs 55% TYPICAL VARIES
Parts of Speech
9
Feature Your DNA vs Others Consistency
Balance/distribution of different word types Moderately varied TYPICAL STEADY
Percentage of auxiliary/helper verbs 4% TYPICAL STEADY
Percentage of words that are adjectives 8% TYPICAL STEADY
Percentage of words that are adverbs 4% TYPICAL VARIES
Percentage of words that are determiners 6% TYPICAL STEADY
Percentage of words that are nouns 13 - 30 TYPICAL STEADY
Percentage of words that are prepositions 9% TYPICAL STEADY
Percentage of words that are pronouns 7% TYPICAL STEADY
Percentage of words that are verbs 8 - 18 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Total sentence count 0.5 - 7.5 LOW STEADY
Average word complexity (syllables per word) 1.5 - 2.0 TYPICAL STEADY
Count of complex words (3+ syllables) 2 - 21 TYPICAL STEADY
How easy the text is to read (higher = easier) 24 - 59 TYPICAL STEADY
Percentage of complex words (3+ syllables) 12 - 26 TYPICAL STEADY
Total syllables in the post 34 - 178 TYPICAL STEADY
Total word count of the post 21 - 100 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
En dash (–) usage per 1000 words 0-12 per 1k words HIGH VARIES
Hyphen usage per 1000 words 0-73 per 1k words HIGH VARIES
Percentage of sentences trailing off with ellipsis 2% HIGH VARIES
Quotation mark usage per 1000 words 0-27 per 1k words HIGH VARIES
Em dash (—) usage per 1000 words 0-5 per 1k words LOW VARIES
Mixed punctuation clusters per 1000 words ~0 per 1k words LOW STEADY
Multiple exclamation marks per 1000 words ~0 per 1k words LOW STEADY
Multiple question marks per 1000 words ~0 per 1k words LOW STEADY
Parentheses usage per 1000 words 0-3 per 1k words LOW VARIES
Question marks per 1000 words 0-17 per 1k words LOW VARIES
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Colon usage per 1000 words 0-59 per 1k words TYPICAL VARIES
Comma usage per 1000 words 12-68 per 1k words TYPICAL STEADY
Ellipsis (...) usage per 1000 words 0-11 per 1k words TYPICAL VARIES
Exclamation marks per 1000 words 0-45 per 1k words TYPICAL VARIES
Percentage of sentences ending with a question 8% TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 55 TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Whether the post contains quotations 57% of posts HIGH STEADY
Average length of quoted passages 0 - 54 LOW VARIES
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 54 LOW VARIES
Lines using past tense 47% TYPICAL STEADY
Number of narrative/story signals 0.5 - 2.2 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.2 TYPICAL STEADY
Use of story transitions 12% TYPICAL VARIES
Whether the post tells a story 52% of posts TYPICAL STEADY
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Percentage of sentences over 20 words 37% HIGH STEADY
Word count of shortest sentence 1 - 20 HIGH STEADY
Parenthetical breaks per 1000 words 0-6 per 1k words LOW VARIES
Percentage of sentences under 8 words 19% LOW VARIES
Average number of clauses per sentence 1.6 - 3.4 TYPICAL STEADY
Average number of words per sentence 10 - 27 TYPICAL STEADY
Average words per sentence 10 - 27 TYPICAL STEADY
How much sentence length varies (normalized) 52% TYPICAL STEADY
How often paragraphs contain just one sentence 44% TYPICAL STEADY
Length of your longer sentences (80th percentile) 15 - 38 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 2 - 21 TYPICAL STEADY
Overall sentence complexity 9 - 95 TYPICAL STEADY
Typical sentence length (median) 9 - 27 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 4.7 TYPICAL VARIES
Variation in sentence lengths 3 - 15 TYPICAL STEADY
Word count of the longest sentence 17 - 40 TYPICAL STEADY

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