www.i-FM.net - Information Facilities Management Network's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 28 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

Percentage of emoji that are neutral/functional
signature
6x more
See example from 09 Dec 2025
Number of emoji in call-to-action lines
consistent
5x more
Percentage of lines containing at least one emoji
4x more
Whether any call-to-action exists
consistent
1.6x more
Average position of CTAs in the post
2x more
Sentences starting with pronouns (I, You, We, They) (%)
2x more
See example from 10 Dec 2025
Length of your longer sentences (80th percentile)
1.4x more

Does Less Of...

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

No features significantly below average

Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but you use neutral or functional emoji in your posts 6 times more than the average LinkedIn author. Not only that, but 5 times as many of your call-to-action lines are punctuated with emoji. It's not just flair - 4 times as many of your lines have at least one emoji, and your CTAs show up twice as early in the post as most people’s. You’re practically orchestrating a workflow meeting with every glyph.

It works because your audience immediately knows an action is needed - not just from the words, but from the visual cues. You transform what could be overlooked admin into a signal people can’t ignore. Now try briefing a ghostwriter to "put neutral emoji in 24% of your lines, especially at the start of each CTA, and do it 5 times more than the average LinkedIn post." They’d think you were joking - because this isn’t a style guide, it’s muscle memory. Even you couldn’t force it if you tried.

And about that tempo: less than one post a week, over 391 weeks. 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 (Jun 2018 - Dec 2025)

Recent 15 posts since Dec 2023
vs
Earlier 13 posts before Dec 2023
Hashtag usage Declining (46% → 13%)
Less
Opening hashtags Declining (15% → 7%)
Less

Style patterns based on 28 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

21 Jun 2018 - 10 Dec 2025

0.1 posts/week avg
21/391 active weeks
370 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
Average position of CTAs in the post Upper half HIGH STEADY
Whether CTAs are concentrated at the end of the post 7% HIGH VARIES
Whether CTAs include emoji 25% of posts HIGH VARIES
Whether any call-to-action exists 89% of posts HIGH STEADY
CTAs phrased as questions vs statements 8% TYPICAL VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 14% TYPICAL VARIES
Whether CTAs include hashtags 14% of posts TYPICAL VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 30% HIGH STEADY
Balance between positive and negative emoji 15% HIGH VARIES
Count of neutral/functional emoji 0.0 - 2.6 HIGH VARIES
Count of positive/celebratory emoji 0.0 - 0.6 HIGH VARIES
Emoji count relative to sentence count 24% HIGH STEADY
Emoji density in CTA sections 0 - 111 HIGH VARIES
Emoji used to replace words entirely 12% HIGH VARIES
Number of emoji in call-to-action lines 0.6 - 1.2 HIGH STEADY
Number of emoji in the opening hook 0.0 - 1.4 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 9% HIGH VARIES
Percentage of emoji that are neutral/functional 85% HIGH STEADY
Percentage of emoji that are positive/celebratory 15% HIGH VARIES
Percentage of lines containing at least one emoji 30% HIGH STEADY
Variety of different emoji used (unique/total ratio) 36% HIGH VARIES
Whether any emoji are used in the post 36% of posts HIGH VARIES
Whether the post starts with an emoji 10% HIGH VARIES
Average distance between repeated emoji 0% LOW STEADY
Average number of emoji appearing together in clusters 0% LOW STEADY
Count of negative/warning emoji ~0.0 LOW STEADY
Emoji count per 1000 words 5% LOW VARIES
How consistently emoji pair with specific words 0% LOW STEADY
How consistently the same emoji is used for bullets 0% LOW STEADY
How often the same emoji repeats across the post 0% LOW STEADY
Largest group of adjacent emoji 0% LOW STEADY
Number of bullet point lines using emoji as markers ~0.0 LOW STEADY
Number of emoji clusters (groups of adjacent emoji) ~0.0 LOW STEADY
Percentage of emoji that are negative/warning 0% LOW STEADY
Percentage of lines that contain only emoji 0% LOW STEADY
Proportion of emoji appearing in clusters 0% LOW STEADY
Proportion of emoji that appear multiple times 0% LOW STEADY
Total count of repeated emoji across the post ~0.0 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 density in the hook section 0 - 21 TYPICAL VARIES
Emoji usage in the middle section of the post 4% TYPICAL VARIES
Number of different emoji types used 0.0 - 1.6 TYPICAL VARIES
Total number of emoji in the post 0.0 - 1.6 TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 43% HIGH VARIES
Count of positive contractions used 0.0 - 2.8 HIGH VARIES
Number of different contraction types 0.0 - 3.1 HIGH VARIES
Percentage of words that are contractions 2% HIGH VARIES
Ratio of negative to positive contractions 71:1 HIGH VARIES
Total number of contractions 0.0 - 3.7 HIGH VARIES
Usage of negative contractions (don't, won't, can't) 36% HIGH VARIES
Usage of positive contractions (it's, I'm, we're) 1% HIGH VARIES
Variety of different contractions used 51% HIGH STEADY
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'by' per 1000 words 0-11 per 1k words HIGH VARIES
Usage of 'which' per 1000 words 0-9 per 1k words HIGH VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'is' per 1000 words 0-16 per 1k words LOW VARIES
Usage of 'on' per 1000 words 0-14 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-2 per 1k words LOW VARIES
Usage of 'with' per 1000 words 0-12 per 1k words LOW VARIES
Overall grammatical word usage 158 - 260 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 55 TYPICAL VARIES
Usage of 'and' per 1000 words 9 - 49 TYPICAL STEADY
Usage of 'as' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-16 per 1k words TYPICAL VARIES
Usage of 'but' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 37 TYPICAL VARIES
Usage of 'if' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 43 TYPICAL STEADY
Usage of 'so' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-13 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 12 - 57 TYPICAL STEADY
Usage of 'to' per 1000 words 16 - 56 TYPICAL STEADY
Variety of function words used 42% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 7 - 16 HIGH STEADY
Proportion of all-lowercase hashtags 90% HIGH STEADY
Proportion of hashtags in the opening 31% HIGH VARIES
Proportion of hashtags placed at the end 52% HIGH STEADY
Proportion of hashtags woven into the text 17% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 224 HIGH VARIES
Whether the opening line contains a hashtag 38% HIGH VARIES
Hashtag density per 100 words 0.0 - 4.2 LOW VARIES
Proportion of hashtags in ALL CAPS 0% LOW STEADY
Proportion of hashtags using CamelCase 10% LOW VARIES
Total number of hashtags 0.0 - 2.6 LOW VARIES
Whether any hashtags are used 29% of posts LOW VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Use of 'you/your' in the hook 3% HIGH STEADY
Whether the hook contains a question 36% of posts HIGH VARIES
Whether the hook contains emoji 18% of posts HIGH VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
Whether there's a blank line after the hook 4% LOW VARIES
ALL CAPS words in the hook 2% TYPICAL STEADY
Character count of the hook 185 - 358 TYPICAL STEADY
Character position where the hook ends 185 - 358 TYPICAL STEADY
Hook length relative to total post 66% TYPICAL STEADY
Hook lines relative to total lines 62% TYPICAL STEADY
Negation words in the hook 0.0 - 0.7 TYPICAL VARIES
Number of emoji in the hook 0.0 - 0.6 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 66% TYPICAL STEADY
Whether there's a clear opening hook section 39% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Ratio of lines starting with punctuation 5% HIGH VARIES
Variation in block sizes 0.0 - 5.7 HIGH VARIES
Ratio of lines starting with ALL CAPS 0% LOW STEADY
Ratio of lines starting with numbers 1% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Average characters per line 60 - 234 TYPICAL STEADY
Average lines per text block 0.7 - 1.9 TYPICAL STEADY
Average spacing between blank lines 0.0 - 2.9 TYPICAL VARIES
Average words per line 10 - 39 TYPICAL STEADY
Blank lines per 100 total lines 12 - 47 TYPICAL STEADY
Lines containing exactly one sentence 52% TYPICAL STEADY
Number of visual text blocks 1.4 - 5.9 TYPICAL STEADY
Percentage of single-word lines 2% TYPICAL VARIES
Percentage of very short lines (<5 words) 9% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 30% TYPICAL STEADY
Spacing between content-rich lines 0.8 - 2.2 TYPICAL STEADY
Variation in line lengths 0 - 461 TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per dash/bullet list 57% HIGH VARIES
Number of dash/bullet list sections 0.0 - 0.4 HIGH VARIES
Whether dash/bullet lists are used 11% of posts HIGH VARIES
Average items per emoji list 0% LOW STEADY
Consistency of emoji bullet indentation 0% LOW STEADY
Consistency of numbered list formatting 0% LOW STEADY
Nesting depth of numbered lists 0% LOW STEADY
Number of emoji bullet list sections ~0.0 LOW STEADY
Number of numbered list sections ~0.0 LOW STEADY
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 0% of posts LOW STEADY
Whether numbered lists are used 0% of posts LOW STEADY
Whether any list structure is used 11% 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
Count of words used only once 33 - 78 TYPICAL STEADY
How often three-word phrases repeat 0.0 - 3.7 TYPICAL VARIES
How often two-word phrases repeat 0.0 - 8.6 TYPICAL VARIES
Length of longest repeated phrase 0.2 - 3.3 TYPICAL STEADY
Number of unique words used 37 - 96 TYPICAL STEADY
Percentage of words used only once 86% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% TYPICAL STEADY
Unique words divided by total words 81% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with conjunctions 0.0-0.6 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.2 per post HIGH VARIES
Count of sentences starting with pronouns 0.2-2.5 per post HIGH STEADY
Count of sentences starting with subordinate clauses 0.0-1.2 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.3 per post HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 71% HIGH VARIES
Sentences starting with And, But, Or, So (%) 2% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 61 HIGH STEADY
Sentences starting with subordinate clauses (%) 6% HIGH VARIES
Sentences starting with time words (%) 1% HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 28% LOW VARIES
Sentences starting with adverbs (%) 2% LOW VARIES
Count of sentences starting with -ing verbs 0.0-0.4 per post TYPICAL VARIES
Count of sentences starting with There is/It is 0.0-0.2 per post TYPICAL VARIES
Count of sentences starting with adverbs 0.0-0.4 per post TYPICAL VARIES
Sentences starting with -ing verbs (%) 2% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 0.9 HIGH VARIES
Whether the closing has a signature phrase 25% of posts HIGH VARIES
Whether the ending has a call-to-action 50% of posts HIGH VARIES
Whether the ending includes emoji 32% of posts HIGH VARIES
Whether the ending is a question 36% HIGH VARIES
Whether the closing has emoji clusters 0% LOW STEADY
Whether the ending includes hashtags 29% of posts LOW VARIES
ALL CAPS words in the closing 2% TYPICAL VARIES
Character length of the closing 157 - 450 TYPICAL STEADY
Closing length relative to total post 71% TYPICAL STEADY
Whether there's a clear closing section 86% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Average change in length between paragraphs 0.0 - 3.6 HIGH VARIES
Closing paragraph length vs body average 1% HIGH VARIES
How much paragraph length varies 0 - 16 HIGH VARIES
Opening paragraph length vs body average 2% HIGH VARIES
Average sentences per paragraph 0.8 - 3.3 TYPICAL STEADY
Average sentences per paragraph 0.8 - 3.3 TYPICAL STEADY
Consecutive long paragraphs 14% TYPICAL VARIES
Consecutive short paragraphs 0.6 - 5.7 TYPICAL STEADY
How frequently new paragraphs start 23 - 68 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 0.4 - 5.0 TYPICAL STEADY
Total number of paragraphs 1.3 - 6.3 TYPICAL STEADY
Typical paragraph length (median) 0.7 - 3.2 TYPICAL STEADY
Variation in length changes between paragraphs 68% 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 6% TYPICAL STEADY
Percentage of words that are adjectives 7% TYPICAL STEADY
Percentage of words that are adverbs 3% TYPICAL STEADY
Percentage of words that are determiners 8% TYPICAL STEADY
Percentage of words that are nouns 18 - 27 TYPICAL STEADY
Percentage of words that are prepositions 8 - 13 TYPICAL STEADY
Percentage of words that are pronouns 8% TYPICAL STEADY
Percentage of words that are verbs 11 - 19 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.4 - 1.7 TYPICAL STEADY
Count of complex words (3+ syllables) 3 - 26 TYPICAL STEADY
How easy the text is to read (higher = easier) 33 - 77 TYPICAL STEADY
Percentage of complex words (3+ syllables) 10 - 21 TYPICAL STEADY
Total sentence count 1.9 - 9.0 TYPICAL STEADY
Total syllables in the post 57 - 219 TYPICAL STEADY
Total word count of the post 40 - 132 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Percentage of sentences ending with a question 0 - 31 HIGH VARIES
Em dash (—) usage per 1000 words 0-2 per 1k words LOW VARIES
En dash (–) usage per 1000 words ~0 per 1k words LOW STEADY
Exclamation marks per 1000 words 0-21 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 0-5 per 1k words LOW VARIES
Percentage of sentences ending with exclamation 0 - 28 LOW VARIES
Quotation mark usage per 1000 words 0-13 per 1k words LOW VARIES
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Colon usage per 1000 words 0-33 per 1k words TYPICAL VARIES
Comma usage per 1000 words 11-66 per 1k words TYPICAL STEADY
Ellipsis (...) usage per 1000 words 0-7 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-39 per 1k words TYPICAL VARIES
Percentage of sentences trailing off with ellipsis 1% TYPICAL VARIES
Question marks per 1000 words 0-21 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 122 HIGH VARIES
Number of quotation blocks 0.1 - 1.6 HIGH STEADY
Total characters in quoted content 0 - 165 HIGH VARIES
Whether the post contains quotations 64% of posts HIGH STEADY
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Lines using past tense 30% TYPICAL STEADY
Number of narrative/story signals 0.5 - 2.4 TYPICAL STEADY
Use of story transitions 7% TYPICAL VARIES
Whether the post tells a story 54% of posts TYPICAL STEADY
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Length of your shorter sentences (20th percentile) 0 - 31 HIGH VARIES
Overall sentence complexity 0 - 190 HIGH VARIES
Percentage of sentences over 20 words 36% HIGH STEADY
Word count of shortest sentence 0 - 30 HIGH VARIES
Parenthetical breaks per 1000 words 0-6 per 1k words LOW VARIES
Percentage of sentences under 8 words 18% LOW VARIES
Average number of clauses per sentence 1.4 - 3.6 TYPICAL STEADY
Average number of words per sentence 4 - 37 TYPICAL STEADY
Average words per sentence 4 - 37 TYPICAL STEADY
How much sentence length varies (normalized) 57% TYPICAL STEADY
How often paragraphs contain just one sentence 51% TYPICAL STEADY
Length of your longer sentences (80th percentile) 12 - 49 TYPICAL STEADY
Typical sentence length (median) 2 - 36 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 5.8 TYPICAL VARIES
Variation in sentence lengths 3 - 16 TYPICAL STEADY
Word count of the longest sentence 14 - 52 TYPICAL STEADY

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