Tom Ball's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 66 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

Emoji count relative to sentence count
signature
12x more
Percentage of emoji that are neutral/functional
signature
5x more
See example from 01 Oct 2025
Number of emoji in the opening hook
signature
8x more
Average character length of hashtags
consistent
3x more
Percentage of lines containing at least one emoji
consistent
5x more
Proportion of hashtags placed at the end
consistent
3x more
Count of neutral/functional emoji
6x more

Does Less Of...

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

Typical paragraph length (median)
consistent
1.5x less
Average sentences per paragraph
consistent
1.4x less
Average sentences per paragraph
consistent
1.4x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but your emoji game is off the charts: you use 12 times more emoji per sentence than the average LinkedIn poster, and a full 5 times more of those are neutral or functional - not just decorative. Even your opening hooks are stacked, dropping 8 times more emoji than most. If someone tried to reverse-engineer your posts, they'd think you were running an emoji A/B test with every line.

Here's the kicker: this isn't just noise. All those emoji - and the way you sneak them into short, punchy, one-sentence paragraphs (median 1.5x shorter than average) - signals immediacy and accessibility. It shortcuts formality, draws the eye, and makes your posts feel like a personal ping, not a broadcast. Now try briefing that to a ghostwriter: "Hey, make sure 41% of my lines have a neutral emoji, and keep every paragraph to a single hit." They'd think you're insane. Because this isn't a style guide - it's muscle memory. You couldn't script it if you tried.

You post less than once a week, but every post is unmistakably yours. 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.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

27 Sep 2018 - 06 Oct 2025

0.2 posts/week avg
57/368 active weeks
311 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
CTAs using command verbs (Click, Share, Comment, etc.) 22% HIGH VARIES
Whether CTAs include emoji 21% of posts HIGH VARIES
CTAs phrased as questions vs statements 0% LOW STEADY
Whether CTAs include hashtags 6% of posts LOW VARIES
Whether CTAs are concentrated at the end of the post 6% TYPICAL VARIES
Whether any call-to-action exists 76% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 18% HIGH VARIES
Average emoji per line of text 54% HIGH STEADY
Average number of emoji appearing together in clusters 54% HIGH VARIES
Balance between positive and negative emoji 20% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.2 HIGH VARIES
Count of neutral/functional emoji 0.0 - 6.1 HIGH VARIES
Count of positive/celebratory emoji 0.0 - 2.0 HIGH VARIES
Emoji count per 1000 words 0 - 69 HIGH VARIES
Emoji count relative to sentence count 1% HIGH STEADY
Emoji density in CTA sections 0 - 89 HIGH VARIES
Emoji density in the hook section 0 - 124 HIGH VARIES
Emoji usage in the middle section of the post 0 - 152 HIGH VARIES
Emoji used to replace words entirely 15% HIGH VARIES
How consistently emoji pair with specific words 4% HIGH VARIES
How consistently the same emoji is used for bullets 4% HIGH VARIES
How often the same emoji repeats across the post 13% HIGH VARIES
Largest group of adjacent emoji 50% HIGH VARIES
Number of different emoji types used 0.0 - 4.1 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.6 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 1.7 HIGH VARIES
Number of emoji in the opening hook 0.4 - 3.3 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 0 - 39 HIGH VARIES
Percentage of emoji that are negative/warning 0% HIGH STEADY
Percentage of emoji that are neutral/functional 79% HIGH STEADY
Percentage of emoji that are positive/celebratory 20% HIGH VARIES
Percentage of lines containing at least one emoji 40% HIGH STEADY
Percentage of lines that contain only emoji 1% HIGH STEADY
Proportion of emoji appearing in clusters 10% HIGH VARIES
Proportion of emoji that appear multiple times 9% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 3.1 HIGH VARIES
Total number of emoji in the post 0.0 - 5.8 HIGH VARIES
Variety of different emoji used (unique/total ratio) 60% HIGH STEADY
Variety of different emoji used as bullets 4% HIGH VARIES
Whether any emoji are used in the post 70% of posts HIGH STEADY
Whether emoji are used as bullet point markers 4% HIGH VARIES
Whether the post starts with an emoji 17% HIGH VARIES
Number of bullet point lines using emoji as markers 0.0 - 0.2 LOW VARIES
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Formality & Tone
9
Feature Your DNA vs Others Consistency
Percentage of words that are contractions 46% LOW VARIES
Usage of negative contractions (don't, won't, can't) 8% LOW VARIES
Usage of positive contractions (it's, I'm, we're) 38% LOW VARIES
Count of negative contractions used 18% TYPICAL VARIES
Count of positive contractions used 38% TYPICAL VARIES
Number of different contraction types 50% TYPICAL VARIES
Ratio of negative to positive contractions 30:1 TYPICAL VARIES
Total number of contractions 56% TYPICAL VARIES
Variety of different contractions used 22% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'because' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'if' per 1000 words 0-7 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-26 per 1k words LOW VARIES
Overall grammatical word usage 119 - 232 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 32 TYPICAL VARIES
Usage of 'and' per 1000 words 9 - 42 TYPICAL STEADY
Usage of 'as' per 1000 words 0-11 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-13 per 1k words TYPICAL VARIES
Usage of 'but' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-11 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 33 TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 29 TYPICAL VARIES
Usage of 'on' per 1000 words 0-20 per 1k words TYPICAL VARIES
Usage of 'so' per 1000 words 0-6 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-13 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 8 - 55 TYPICAL STEADY
Usage of 'to' per 1000 words 7 - 40 TYPICAL STEADY
Usage of 'which' per 1000 words 0-3 per 1k words TYPICAL VARIES
Usage of 'who' per 1000 words 0-10 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0 - 26 TYPICAL VARIES
Variety of function words used 42% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 9 - 16 HIGH STEADY
Proportion of all-lowercase hashtags 48% HIGH VARIES
Proportion of hashtags in ALL CAPS 6% HIGH VARIES
Proportion of hashtags placed at the end 74% HIGH STEADY
Proportion of hashtags using CamelCase 46% HIGH VARIES
Proportion of hashtags woven into the text 11% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 255 HIGH VARIES
Whether any hashtags are used 74% of posts HIGH STEADY
Hashtag density per 100 words 0.0 - 8.4 TYPICAL VARIES
Proportion of hashtags in the opening 15% TYPICAL VARIES
Total number of hashtags 0.6 - 4.2 TYPICAL STEADY
Whether the opening line contains a hashtag 20% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 2.4 HIGH VARIES
Whether the hook contains emoji 53% of posts HIGH STEADY
Whether there's a clear opening hook section 52% of posts HIGH STEADY
Use of 'you/your' in the hook 1% LOW VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
ALL CAPS words in the hook 2% TYPICAL VARIES
Character count of the hook 137 - 350 TYPICAL STEADY
Character position where the hook ends 137 - 350 TYPICAL STEADY
Hook length relative to total post 54% TYPICAL STEADY
Hook lines relative to total lines 51% TYPICAL STEADY
Negation words in the hook 0.0 - 0.7 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 54% TYPICAL STEADY
Whether the hook contains a question 12% of posts TYPICAL VARIES
Whether there's a blank line after the hook 15% TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 1.0 - 3.3 HIGH STEADY
Blank lines per 100 total lines 24 - 48 HIGH STEADY
Predictability of line length pattern Very consistent HIGH STEADY
Proportion of blank space 36% HIGH STEADY
Spacing between content-rich lines 1.2 - 2.2 HIGH STEADY
Variation in block sizes 0.0 - 6.7 HIGH VARIES
Ratio of lines starting with ALL CAPS 1% LOW VARIES
Ratio of lines starting with quotes 0% LOW STEADY
Average characters per line 56 - 150 TYPICAL STEADY
Average lines per text block 0.8 - 1.9 TYPICAL STEADY
Average words per line 8 - 25 TYPICAL STEADY
Lines containing exactly one sentence 76% TYPICAL STEADY
Number of visual text blocks 2.0 - 8.2 TYPICAL STEADY
Percentage of single-word lines 1% TYPICAL VARIES
Percentage of very short lines (<5 words) 17% TYPICAL STEADY
Ratio of lines starting with numbers 2% TYPICAL VARIES
Ratio of lines starting with punctuation 2% TYPICAL VARIES
Variation in line lengths 0 - 374 TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per emoji list 18% HIGH VARIES
Variety of emoji used as bullets 4% HIGH VARIES
Whether emoji bullet lists are used 6% of posts HIGH VARIES
Consistency of emoji bullet indentation 0% LOW STEADY
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Average items per dash/bullet list 24% TYPICAL VARIES
Consistency of numbered list formatting 3% TYPICAL VARIES
Nesting depth of numbered lists 20% TYPICAL VARIES
Number of dash/bullet list sections 0.0 - 0.3 TYPICAL VARIES
Number of emoji bullet list sections 0.0 - 0.3 TYPICAL VARIES
Number of numbered list sections 0.0 - 0.2 TYPICAL VARIES
Use of inline enumeration 1% TYPICAL STEADY
Whether any list structure is used 12% 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 3% LOW VARIES
How often three-word phrases repeat 62% LOW VARIES
Count of idiomatic expressions 0.0 - 0.1 TYPICAL VARIES
Count of words used only once 21 - 114 TYPICAL STEADY
How often two-word phrases repeat 0.0 - 6.6 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 2.8 TYPICAL VARIES
Number of unique words used 22 - 143 TYPICAL STEADY
Percentage of words used only once 85% TYPICAL STEADY
Ratio of meaningful words to grammatical words 6% 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 -ing verbs 0.0-0.8 per post HIGH VARIES
Count of sentences starting with There is/It is 0.0-0.6 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-1.3 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-1.3 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.8 per post HIGH VARIES
Count of sentences starting with pronouns 0.0-3.5 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-1.1 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.5 per post HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 1% HIGH VARIES
Sentences starting with -ing verbs (%) 5% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 4% HIGH VARIES
Sentences starting with And, But, Or, So (%) 3% HIGH VARIES
Sentences starting with adverbs (%) 6% HIGH VARIES
Sentences starting with subordinate clauses (%) 7% HIGH VARIES
Sentences starting with time words (%) 3% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 39 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 1.9 HIGH VARIES
Whether the closing has emoji clusters 8% HIGH VARIES
Whether the ending includes emoji 50% of posts HIGH VARIES
Whether the ending includes hashtags 68% of posts HIGH STEADY
Whether the closing has a signature phrase 11% of posts LOW VARIES
ALL CAPS words in the closing 2% TYPICAL VARIES
Character length of the closing 150 - 450 TYPICAL STEADY
Closing length relative to total post 60% TYPICAL STEADY
Whether the ending has a call-to-action 38% of posts TYPICAL VARIES
Whether the ending is a question 11% TYPICAL VARIES
Whether there's a clear closing section 92% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 94% HIGH STEADY
Consecutive short paragraphs 2.0 - 6.2 HIGH STEADY
Consecutive long paragraphs 4% LOW VARIES
Typical paragraph length (median) 0.7 - 1.8 LOW STEADY
Average change in length between paragraphs 63% TYPICAL VARIES
Average sentences per paragraph 0.9 - 1.9 TYPICAL STEADY
Average sentences per paragraph 0.9 - 1.9 TYPICAL STEADY
How frequently new paragraphs start 29 - 93 TYPICAL STEADY
How much paragraph length varies 88% TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 0.8 - 2.8 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Total number of paragraphs 2.0 - 8.1 TYPICAL STEADY
Variation in length changes between paragraphs 82% 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 7% TYPICAL STEADY
Percentage of words that are adverbs 4% TYPICAL STEADY
Percentage of words that are determiners 6% TYPICAL STEADY
Percentage of words that are nouns 15 - 29 TYPICAL STEADY
Percentage of words that are prepositions 7 - 14 TYPICAL STEADY
Percentage of words that are pronouns 7% TYPICAL STEADY
Percentage of words that are verbs 8 - 16 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.5 - 1.9 TYPICAL STEADY
Count of complex words (3+ syllables) 6 - 33 TYPICAL STEADY
How easy the text is to read (higher = easier) 13 - 65 TYPICAL STEADY
Percentage of complex words (3+ syllables) 11 - 28 TYPICAL STEADY
Total sentence count 0 - 12 TYPICAL VARIES
Total syllables in the post 32 - 338 TYPICAL STEADY
Total word count of the post 11 - 215 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Ellipsis (...) usage per 1000 words 0-35 per 1k words HIGH VARIES
Hyphen usage per 1000 words 0-48 per 1k words HIGH VARIES
Percentage of sentences trailing off with ellipsis 7% HIGH VARIES
Em dash (—) usage per 1000 words 0-0 per 1k words LOW VARIES
En dash (–) usage per 1000 words ~0 per 1k words LOW STEADY
Exclamation marks per 1000 words 0-15 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
Percentage of sentences ending with a question 4% LOW VARIES
Percentage of sentences ending with exclamation 9% LOW VARIES
Question marks per 1000 words 0-11 per 1k words LOW VARIES
Colon usage per 1000 words 0-39 per 1k words TYPICAL VARIES
Comma usage per 1000 words 5-60 per 1k words TYPICAL STEADY
Parentheses usage per 1000 words 0-8 per 1k words TYPICAL VARIES
Quotation mark usage per 1000 words 0-12 per 1k words TYPICAL VARIES
Semicolon usage per 1000 words 0-2 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 65 LOW VARIES
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 91 LOW VARIES
Lines using past tense 29% TYPICAL STEADY
Number of narrative/story signals 0.2 - 2.0 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.4 TYPICAL VARIES
Use of story transitions 8% TYPICAL VARIES
Whether the post contains quotations 39% of posts TYPICAL VARIES
Whether the post tells a story 30% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Average number of words per sentence 11 - 36 HIGH STEADY
Average words per sentence 11 - 36 HIGH STEADY
How often paragraphs contain just one sentence 73% HIGH STEADY
Length of your longer sentences (80th percentile) 12 - 63 HIGH STEADY
Length of your shorter sentences (20th percentile) 2 - 24 HIGH STEADY
Overall sentence complexity 4 - 141 HIGH STEADY
Percentage of sentences over 20 words 41% HIGH STEADY
Typical sentence length (median) 10 - 32 HIGH STEADY
Variation in clause count across sentences 0.0 - 7.4 HIGH VARIES
Variation in sentence lengths 0 - 27 HIGH STEADY
Word count of shortest sentence 0 - 22 HIGH VARIES
Word count of the longest sentence 13 - 73 HIGH STEADY
Parenthetical breaks per 1000 words 0-8 per 1k words LOW VARIES
Percentage of sentences under 8 words 18% LOW VARIES
Average number of clauses per sentence 1.6 - 3.7 TYPICAL STEADY
How much sentence length varies (normalized) 57% TYPICAL STEADY

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