Koby Amedume's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 70 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 23 Oct 2025
Count of sentences starting with adverbs
signature
10x more
Proportion of hashtags placed at the end
signature
4x more
Count of sentences starting with conjunctions
signature
15x more
See example from 13 May 2025
Total number of paragraphs
signature
3x more
Number of visual text blocks
signature
3x more
Number of quotation blocks
signature
5x more
See example from 22 May 2024

Does Less Of...

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

Unique words divided by total words
consistent
1.2x less
Percentage of words used only once
consistent
1.1x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but you start 10x more sentences with adverbs than the average LinkedIn poster. That means a huge chunk of your posts begin with words like "Interestingly," "Suddenly," or "Honestly" - far more than anyone else in your network. It’s like you’re narrating in real time, pulling people into your thought process with every opening word.

This works because it signals energy and immediacy - your readers feel like they’re catching your ideas in motion, not just reading recycled talking points. Now try briefing this to a ghostwriter: "Start 10 times more sentences with adverbs, but make it feel natural." They’d think you were joking. You couldn’t consciously force this if you tried. It’s not a strategy - it’s just how your brain works when you write.

With less than one post a week (0.8, to be exact), you’re not flooding the feed - but every post carries your unique fingerprint. 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 (Sep 2023 - May 2025)

Recent 52 posts since Dec 2023
vs
Earlier 20 posts before Dec 2023
Opening hashtags Declining (5% → 2%)
Less

Style patterns based on 72 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

27 Sep 2023 - 29 May 2025

0.8 posts/week avg
41/88 active weeks
47 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 Lower half HIGH STEADY
CTAs phrased as questions vs statements 28% HIGH STEADY
CTAs using command verbs (Click, Share, Comment, etc.) 28% HIGH VARIES
Whether CTAs are concentrated at the end of the post 16% HIGH VARIES
Whether CTAs include emoji 24% of posts HIGH VARIES
Whether any call-to-action exists 97% of posts HIGH STEADY
Whether CTAs include hashtags 6% of posts LOW VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 0.0 - 2.5 HIGH VARIES
Average emoji per line of text 37% HIGH STEADY
Average number of emoji appearing together in clusters 24% HIGH VARIES
Balance between positive and negative emoji 8% HIGH VARIES
Count of negative/warning emoji 0.0 - 1.1 HIGH VARIES
Count of neutral/functional emoji 0.7 - 5.7 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 1.6 HIGH VARIES
Emoji count relative to sentence count 24% HIGH STEADY
Emoji density in the hook section 0 - 28 HIGH VARIES
Emoji usage in the middle section of the post 2 - 35 HIGH STEADY
Emoji used to replace words entirely 12% HIGH VARIES
How consistently emoji pair with specific words 2% HIGH VARIES
How consistently the same emoji is used for bullets 6% HIGH VARIES
How often the same emoji repeats across the post 31% HIGH VARIES
Largest group of adjacent emoji 24% HIGH VARIES
Number of bullet point lines using emoji as markers 0.0 - 2.0 HIGH VARIES
Number of different emoji types used 0.0 - 2.8 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.4 HIGH VARIES
Number of emoji in the opening hook 0.0 - 1.7 HIGH VARIES
Percentage of emoji that are 'corpspeak' type 2% HIGH VARIES
Percentage of emoji that are negative/warning 4% HIGH VARIES
Percentage of emoji that are neutral/functional 84% HIGH STEADY
Percentage of emoji that are positive/celebratory 12% HIGH VARIES
Percentage of lines containing at least one emoji 31% HIGH STEADY
Proportion of emoji appearing in clusters 7% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 4.0 HIGH VARIES
Total number of emoji in the post 0.0 - 4.7 HIGH VARIES
Variety of different emoji used (unique/total ratio) 34% HIGH VARIES
Variety of different emoji used as bullets 3% HIGH VARIES
Whether any emoji are used in the post 49% of posts HIGH VARIES
Whether emoji are used as bullet point markers 9% HIGH VARIES
Percentage of lines that contain only emoji 0% LOW STEADY
Proportion of emoji that appear multiple times 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Emoji count per 1000 words 10% TYPICAL VARIES
Emoji density in CTA sections 9% TYPICAL VARIES
Number of emoji in call-to-action lines 0.0 - 0.7 TYPICAL VARIES
Whether the post starts with an emoji 3% TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 0.0 - 2.7 HIGH VARIES
Count of positive contractions used 0.4 - 5.6 HIGH STEADY
Number of different contraction types 1.0 - 5.4 HIGH STEADY
Percentage of words that are contractions 2% HIGH STEADY
Total number of contractions 1.0 - 7.5 HIGH STEADY
Usage of negative contractions (don't, won't, can't) 55% HIGH VARIES
Usage of positive contractions (it's, I'm, we're) 1% HIGH STEADY
Variety of different contractions used 68% HIGH STEADY
Ratio of negative to positive contractions 1:2 LOW VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'because' per 1000 words 0-5 per 1k words HIGH VARIES
Usage of 'but' per 1000 words 1-12 per 1k words HIGH STEADY
Usage of 'so' per 1000 words 0-7 per 1k words HIGH VARIES
Usage of 'that' per 1000 words 2-18 per 1k words HIGH STEADY
Variety of function words used 63% HIGH STEADY
Usage of 'as' per 1000 words 0-5 per 1k words LOW VARIES
Usage of 'at' per 1000 words 0-6 per 1k words LOW VARIES
Usage of 'which' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-5 per 1k words LOW VARIES
Overall grammatical word usage 157 - 213 TYPICAL STEADY
Usage of 'a' per 1000 words 10 - 37 TYPICAL STEADY
Usage of 'and' per 1000 words 14 - 36 TYPICAL STEADY
Usage of 'by' per 1000 words 0-5 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 1 - 20 TYPICAL STEADY
Usage of 'if' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'is' per 1000 words 3 - 17 TYPICAL STEADY
Usage of 'of' per 1000 words 2 - 26 TYPICAL STEADY
Usage of 'on' per 1000 words 1-15 per 1k words TYPICAL STEADY
Usage of 'the' per 1000 words 19 - 47 TYPICAL STEADY
Usage of 'to' per 1000 words 10 - 31 TYPICAL STEADY
Usage of 'with' per 1000 words 1-16 per 1k words TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 10 - 16 HIGH STEADY
Proportion of all-lowercase hashtags 61% HIGH STEADY
Proportion of hashtags placed at the end 94% HIGH STEADY
Proportion of hashtags using CamelCase 36% HIGH VARIES
Total number of hashtags 2.3 - 6.2 HIGH STEADY
Whether any hashtags are used 99% of posts HIGH STEADY
Proportion of hashtags in the opening 3% LOW VARIES
Ratio of inline hashtags to end hashtags 9% LOW VARIES
Whether the opening line contains a hashtag 3% LOW VARIES
Hashtag density per 100 words 0.0 - 7.7 TYPICAL VARIES
Proportion of hashtags in ALL CAPS 3% TYPICAL VARIES
Proportion of hashtags woven into the text 3% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Negation words in the hook 0.0 - 1.3 HIGH VARIES
Use of 'you/your' in the hook 4% HIGH STEADY
Whether the hook contains a question 61% of posts HIGH STEADY
Whether there's a clear opening hook section 87% of posts HIGH STEADY
ALL CAPS words in the hook 1% LOW VARIES
Hook length relative to total post 25% LOW STEADY
Hook lines relative to total lines 27% LOW STEADY
Where LinkedIn's 'see more' cuts off 25% LOW STEADY
Whether the hook starts with a conjunction 0% LOW STEADY
Character count of the hook 168 - 319 TYPICAL STEADY
Character position where the hook ends 168 - 319 TYPICAL STEADY
Number of emoji in the hook 0.0 - 1.0 TYPICAL VARIES
Whether the hook contains emoji 16% of posts TYPICAL VARIES
Whether there's a blank line after the hook 16% TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 1.3 - 2.3 HIGH STEADY
Blank lines per 100 total lines 36 - 59 HIGH STEADY
Number of visual text blocks 7 - 17 HIGH STEADY
Predictability of line length pattern Fairly consistent HIGH STEADY
Proportion of blank space 47% HIGH STEADY
Ratio of lines starting with numbers 12% HIGH VARIES
Ratio of lines starting with punctuation 8% HIGH VARIES
Spacing between content-rich lines 1.6 - 2.4 HIGH STEADY
Percentage of single-word lines 1% LOW STEADY
Ratio of lines starting with ALL CAPS 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Variation in block sizes 29% LOW VARIES
Variation in line lengths 11 - 212 LOW STEADY
Average characters per line 59 - 159 TYPICAL STEADY
Average lines per text block 0.9 - 1.4 TYPICAL STEADY
Average words per line 10 - 24 TYPICAL STEADY
Lines containing exactly one sentence 58% TYPICAL STEADY
Percentage of very short lines (<5 words) 13% TYPICAL STEADY
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per emoji list 19% HIGH VARIES
Consistency of numbered list formatting 33% HIGH VARIES
Nesting depth of numbered lists 0.0 - 4.4 HIGH VARIES
Number of emoji bullet list sections 0.0 - 0.5 HIGH VARIES
Number of numbered list sections 0.0 - 0.9 HIGH VARIES
Variety of emoji used as bullets 2% HIGH VARIES
Whether any list structure is used 46% of posts HIGH VARIES
Whether dash/bullet lists are used 7% of posts HIGH VARIES
Whether emoji bullet lists are used 6% of posts HIGH VARIES
Whether numbered lists are used 33% 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
Number of dash/bullet list sections 0.0 - 0.4 TYPICAL VARIES
Use of inline enumeration 1% TYPICAL STEADY
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Common idioms and expressions per 1000 words 42% HIGH VARIES
Count of idiomatic expressions 0.0 - 0.4 HIGH VARIES
Count of words used only once 70 - 135 HIGH STEADY
How often three-word phrases repeat 0.0 - 2.9 HIGH STEADY
How often two-word phrases repeat 4 - 11 HIGH STEADY
Length of longest repeated phrase 1.7 - 4.1 HIGH STEADY
Number of unique words used 90 - 178 HIGH STEADY
Percentage of words used only once 78% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% TYPICAL STEADY
Unique words divided by total words 68% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with -ing verbs 0.0-1.2 per post HIGH VARIES
Count of sentences starting with adverbs 0.2-2.3 per post HIGH STEADY
Count of sentences starting with conjunctions 0.1-2.0 per post HIGH STEADY
Count of sentences starting with discourse markers 0.0-1.7 per post HIGH VARIES
Count of sentences starting with pronouns 1.1-4.6 per post HIGH STEADY
Count of sentences starting with subordinate clauses 0.0-2.7 per post HIGH VARIES
Count of sentences starting with time words 0.0-1.2 per post HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 4% HIGH VARIES
Sentences starting with And, But, Or, So (%) 5% HIGH VARIES
Sentences starting with adverbs (%) 6% HIGH STEADY
Sentences starting with subordinate clauses (%) 8% HIGH VARIES
Sentences starting with time words (%) 2% HIGH VARIES
Count of sentences starting with There is/It is 0.0-0.1 per post LOW VARIES
Sentences starting with 'There is/are' or 'It is' (%) 4% LOW VARIES
Sentences starting with -ing verbs (%) 2% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 6 - 26 TYPICAL STEADY
Closing Patterns
11
Feature Your DNA vs Others Consistency
Whether the closing has emoji clusters 4% HIGH VARIES
Whether the ending has a call-to-action 81% of posts HIGH STEADY
Whether the ending includes hashtags 99% of posts HIGH STEADY
Whether the ending is a question 69% HIGH STEADY
ALL CAPS words in the closing 1% LOW STEADY
Closing length relative to total post 22% LOW VARIES
Character length of the closing 113 - 318 TYPICAL STEADY
Number of emoji in the closing 0.0 - 0.7 TYPICAL VARIES
Whether the closing has a signature phrase 16% of posts TYPICAL VARIES
Whether the ending includes emoji 11% of posts TYPICAL VARIES
Whether there's a clear closing section 97% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Consecutive long paragraphs 27% HIGH VARIES
Consecutive short paragraphs 1 - 12 HIGH STEADY
How much paragraph length varies 0.0 - 4.9 HIGH VARIES
Total number of paragraphs 7 - 17 HIGH STEADY
Variation in length changes between paragraphs 0.0 - 7.2 HIGH VARIES
Average change in length between paragraphs 92% TYPICAL STEADY
Average sentences per paragraph 1.3 - 2.5 TYPICAL STEADY
Average sentences per paragraph 1.3 - 2.5 TYPICAL STEADY
Closing paragraph length vs body average 56% TYPICAL STEADY
How frequently new paragraphs start 41 - 73 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.7 - 3.6 TYPICAL STEADY
Opening paragraph length vs body average 69% TYPICAL STEADY
Typical paragraph length (median) 0.7 - 2.3 TYPICAL STEADY
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 8% 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 21 - 31 TYPICAL STEADY
Percentage of words that are prepositions 9% TYPICAL STEADY
Percentage of words that are pronouns 8 - 14 TYPICAL STEADY
Percentage of words that are verbs 12 - 19 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Count of complex words (3+ syllables) 19 - 50 HIGH STEADY
Total sentence count 11 - 28 HIGH STEADY
Total syllables in the post 208 - 467 HIGH STEADY
Total word count of the post 127 - 283 HIGH STEADY
Average word complexity (syllables per word) 1.5 - 1.8 TYPICAL STEADY
How easy the text is to read (higher = easier) 40 - 69 TYPICAL STEADY
Percentage of complex words (3+ syllables) 12 - 22 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
En dash (–) usage per 1000 words 0-6 per 1k words HIGH VARIES
Percentage of sentences ending with a question 4 - 24 HIGH STEADY
Question marks per 1000 words 3-23 per 1k words HIGH STEADY
Quotation mark usage per 1000 words 0-26 per 1k words HIGH VARIES
Semicolon usage per 1000 words 0-4 per 1k words HIGH VARIES
Ellipsis (...) usage per 1000 words 0-2 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 trailing off with ellipsis 25% LOW VARIES
Colon usage per 1000 words 4-31 per 1k words TYPICAL STEADY
Comma usage per 1000 words 25-62 per 1k words TYPICAL STEADY
Em dash (—) usage per 1000 words 0-5 per 1k words TYPICAL VARIES
Exclamation marks per 1000 words 4-21 per 1k words TYPICAL STEADY
Hyphen usage per 1000 words 3-32 per 1k words TYPICAL STEADY
Parentheses usage per 1000 words 0-8 per 1k words TYPICAL VARIES
Percentage of sentences ending with exclamation 5 - 23 TYPICAL STEADY
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 115 HIGH VARIES
Number of narrative/story signals 1.3 - 2.8 HIGH STEADY
Number of quotation blocks 1.0 - 4.1 HIGH STEADY
Total characters in quoted content 0 - 296 HIGH VARIES
Whether the post contains quotations 87% of posts HIGH STEADY
Whether the post tells a story 76% of posts HIGH STEADY
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Lines using past tense 34% TYPICAL STEADY
Use of story transitions 7% TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Overall sentence complexity 14 - 30 LOW STEADY
Percentage of sentences over 20 words 11% LOW VARIES
Variation in clause count across sentences 92% LOW STEADY
Word count of shortest sentence 0.3 - 5.2 LOW STEADY
Average number of clauses per sentence 1.6 - 2.2 TYPICAL STEADY
Average number of words per sentence 9 - 14 TYPICAL STEADY
Average words per sentence 9 - 14 TYPICAL STEADY
How much sentence length varies (normalized) 57% TYPICAL STEADY
How often paragraphs contain just one sentence 55% TYPICAL STEADY
Length of your longer sentences (80th percentile) 14 - 21 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 2.5 - 9.1 TYPICAL STEADY
Parenthetical breaks per 1000 words 0-11 per 1k words TYPICAL VARIES
Percentage of sentences under 8 words 30% TYPICAL STEADY
Typical sentence length (median) 8 - 14 TYPICAL STEADY
Variation in sentence lengths 4.9 - 8.1 TYPICAL STEADY
Word count of the longest sentence 19 - 30 TYPICAL STEADY

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