Celina Ploskonka's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 18 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 lines containing at least one emoji
signature
9x more
Proportion of hashtags in ALL CAPS
signature
13x more
Average emoji per line of text
signature
7x more
Percentage of emoji that are neutral/functional
signature
5x more
See example from 27 Nov 2025
Number of emoji in the opening hook
consistent
5x more
Proportion of hashtags in the opening
4x more
Number of emoji in call-to-action lines
5x more

Does Less Of...

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

Proportion of all-lowercase hashtags
consistent
rarely
Whether any list structure is used
consistent
rarely
Count of sentences starting with adverbs
consistent
rarely
Sentences starting with adverbs (%)
consistent
rarely
Percentage of complex words (3+ syllables)
consistent
1.4x less
Average lines per text block
consistent
1.3x less
Average word complexity (syllables per word)
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 your posts use all-caps hashtags 13 times more than the average LinkedIn writer. Not just a few - your caps-lock hashtags are a full-blown signature move, standing out with a volume most people never even approach. It's like you turned the dial up to 11 and broke it off.

Why does it work? Those ALL CAPS hashtags are visual sirens - they cut through the scroll, signaling energy, confidence, and intent. Now try briefing this to a ghostwriter: "Hey, can you make sure my hashtags are in ALL CAPS 13x more than average, but use almost no lists and almost never start sentences with adverbs?" They'd stare at you blankly. This isn't a checklist - it's muscle memory. You don't even know you're doing it.

And with a posting frequency of just 0.1 times per week, every post counts. 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 12 posts since Dec 2023
vs
Earlier 6 posts before Dec 2023
Opening hashtags Increasing (17% → 25%)
More

Style patterns based on 18 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

03 Aug 2023 - 10 Nov 2025

0.1 posts/week avg
17/120 active weeks
103 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
CTAs phrased as questions vs statements 14% HIGH VARIES
Whether CTAs include emoji 28% of posts HIGH VARIES
Whether CTAs include hashtags 17% of posts HIGH VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 6% LOW VARIES
Whether CTAs are concentrated at the end of the post 0% LOW STEADY
Average position of CTAs in the post Near top TYPICAL VARIES
Whether any call-to-action exists 78% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 80% HIGH STEADY
Balance between positive and negative emoji 20% HIGH VARIES
Count of neutral/functional emoji 0.4 - 1.2 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 1.3 HIGH VARIES
Emoji count relative to sentence count 29% HIGH STEADY
Emoji density in the hook section 14 - 28 HIGH STEADY
Emoji used to replace words entirely 10% HIGH VARIES
How often the same emoji repeats across the post 10% HIGH VARIES
Number of emoji in call-to-action lines 0.4 - 1.2 HIGH STEADY
Number of emoji in the opening hook 0.8 - 1.6 HIGH STEADY
Percentage of emoji that are neutral/functional 80% HIGH STEADY
Percentage of emoji that are positive/celebratory 20% HIGH VARIES
Percentage of lines containing at least one emoji 75% HIGH STEADY
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 usage in the middle section of the post 0% LOW STEADY
How consistently emoji pair with specific words 0% LOW STEADY
How consistently the same emoji is used for bullets 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 different emoji types used 0.0 - 0.7 LOW VARIES
Number of emoji clusters (groups of adjacent emoji) ~0.0 LOW STEADY
Percentage of emoji that are 'corpspeak' type 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 number of emoji in the post 0.0 - 0.9 LOW VARIES
Variety of different emoji used as bullets 0% LOW STEADY
Whether emoji are used as bullet point markers 0% LOW STEADY
Whether the post starts with an emoji 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Emoji count per 1000 words 5% TYPICAL VARIES
Emoji density in CTA sections 5 - 26 TYPICAL STEADY
Total count of repeated emoji across the post 0.0 - 0.6 TYPICAL VARIES
Variety of different emoji used (unique/total ratio) 25% TYPICAL VARIES
Whether any emoji are used in the post 28% of posts TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of positive contractions used 0.0 - 3.0 HIGH STEADY
Number of different contraction types 0.1 - 2.6 HIGH STEADY
Percentage of words that are contractions 2% HIGH STEADY
Total number of contractions 0.0 - 3.1 HIGH VARIES
Usage of positive contractions (it's, I'm, we're) 2% HIGH STEADY
Variety of different contractions used 61% HIGH STEADY
Count of negative contractions used 6% LOW VARIES
Ratio of negative to positive contractions 1:71 LOW VARIES
Usage of negative contractions (don't, won't, can't) 7% LOW VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'at' per 1000 words 0 - 33 HIGH VARIES
Usage of 'by' per 1000 words 0-26 per 1k words HIGH VARIES
Usage of 'which' per 1000 words 0-4 per 1k words HIGH VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'so' per 1000 words 0-3 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-5 per 1k words LOW VARIES
Overall grammatical word usage 181 - 285 TYPICAL STEADY
Usage of 'a' per 1000 words 9 - 46 TYPICAL STEADY
Usage of 'and' per 1000 words 12 - 48 TYPICAL STEADY
Usage of 'as' per 1000 words 0-11 per 1k words TYPICAL VARIES
Usage of 'but' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 36 TYPICAL VARIES
Usage of 'if' per 1000 words 0-14 per 1k words TYPICAL VARIES
Usage of 'is' per 1000 words 0 - 31 TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 29 TYPICAL VARIES
Usage of 'on' per 1000 words 0-18 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-19 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 12 - 77 TYPICAL STEADY
Usage of 'to' per 1000 words 3 - 58 TYPICAL STEADY
Usage of 'with' per 1000 words 0-20 per 1k words TYPICAL VARIES
Variety of function words used 40% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 3 - 15 HIGH STEADY
Proportion of hashtags in ALL CAPS 50% HIGH VARIES
Proportion of hashtags in the opening 67% HIGH STEADY
Proportion of hashtags using CamelCase 50% HIGH VARIES
Proportion of hashtags woven into the text 17% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 291 HIGH VARIES
Whether the opening line contains a hashtag 67% HIGH STEADY
Hashtag density per 100 words 0.0 - 3.4 LOW VARIES
Proportion of all-lowercase hashtags 0% LOW STEADY
Total number of hashtags 0.0 - 0.8 LOW VARIES
Proportion of hashtags placed at the end 17% TYPICAL VARIES
Whether any hashtags are used 33% of posts TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 0.9 HIGH VARIES
Whether the hook contains emoji 28% of posts HIGH VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
Whether there's a blank line after the hook 11% LOW VARIES
Whether there's a clear opening hook section 17% of posts LOW VARIES
ALL CAPS words in the hook 3% TYPICAL STEADY
Character count of the hook 151 - 383 TYPICAL STEADY
Character position where the hook ends 151 - 383 TYPICAL STEADY
Hook length relative to total post 86% TYPICAL STEADY
Hook lines relative to total lines 78% TYPICAL STEADY
Negation words in the hook 0.0 - 0.8 TYPICAL VARIES
Use of 'you/your' in the hook 2% TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 86% TYPICAL STEADY
Whether the hook contains a question 22% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Variation in line lengths 0 - 841 HIGH VARIES
Average spacing between blank lines 67% LOW VARIES
Number of visual text blocks 0.9 - 3.7 LOW STEADY
Ratio of lines starting with ALL CAPS 0% LOW STEADY
Ratio of lines starting with numbers 0% LOW STEADY
Ratio of lines starting with punctuation 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Variation in block sizes 0% LOW STEADY
Average characters per line 75 - 290 TYPICAL STEADY
Average lines per text block 100% TYPICAL STEADY
Average words per line 13 - 52 TYPICAL STEADY
Blank lines per 100 total lines 4 - 43 TYPICAL STEADY
Lines containing exactly one sentence 42% TYPICAL STEADY
Percentage of single-word lines 1% TYPICAL VARIES
Percentage of very short lines (<5 words) 11% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 23% TYPICAL STEADY
Spacing between content-rich lines 0.2 - 2.2 TYPICAL STEADY
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per dash/bullet list 0% LOW STEADY
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 dash/bullet list sections ~0.0 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 any list structure is used 0% of posts LOW STEADY
Whether dash/bullet lists are used 0% of posts LOW STEADY
Whether emoji bullet lists are used 0% of posts LOW STEADY
Whether numbered lists are used 0% of posts LOW STEADY
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 43% LOW VARIES
How often two-word phrases repeat 0.0 - 5.4 LOW VARIES
Length of longest repeated phrase 67% LOW VARIES
Count of words used only once 21 - 65 TYPICAL STEADY
Number of unique words used 22 - 80 TYPICAL STEADY
Percentage of words used only once 88% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% 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 0.0-0.8 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.3 per post HIGH VARIES
Count of sentences starting with pronouns 0.0-2.2 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 -ing verbs (%) 8% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 1% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 59 HIGH VARIES
Sentences starting with subordinate clauses (%) 9% HIGH VARIES
Sentences starting with time words (%) 2% HIGH VARIES
Count of sentences starting with There is/It is ~0.0 per post LOW STEADY
Count of sentences starting with adverbs ~0.0 per post LOW STEADY
Count of sentences starting with conjunctions ~0.0 per post LOW STEADY
Sentences starting with 'There is/are' or 'It is' (%) 0% LOW STEADY
Sentences starting with And, But, Or, So (%) 0% LOW STEADY
Sentences starting with adverbs (%) 0% LOW STEADY
Closing Patterns
11
Feature Your DNA vs Others Consistency
Whether the ending has a call-to-action 61% of posts HIGH STEADY
Whether the ending includes emoji 22% of posts HIGH VARIES
Whether the closing has emoji clusters 0% LOW STEADY
ALL CAPS words in the closing 3% TYPICAL STEADY
Character length of the closing 120 - 501 TYPICAL STEADY
Closing length relative to total post 92% TYPICAL STEADY
Number of emoji in the closing 0.0 - 0.7 TYPICAL VARIES
Whether the closing has a signature phrase 17% of posts TYPICAL VARIES
Whether the ending includes hashtags 33% of posts TYPICAL VARIES
Whether the ending is a question 17% TYPICAL VARIES
Whether there's a clear closing section 72% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Opening paragraph length vs body average 2% HIGH STEADY
Consecutive long paragraphs 6% LOW VARIES
How frequently new paragraphs start 16 - 68 LOW STEADY
Total number of paragraphs 0.9 - 3.7 LOW STEADY
Variation in length changes between paragraphs 39% LOW VARIES
Average change in length between paragraphs 76% TYPICAL VARIES
Average sentences per paragraph 0.7 - 3.6 TYPICAL STEADY
Average sentences per paragraph 0.7 - 3.6 TYPICAL STEADY
Closing paragraph length vs body average 79% TYPICAL STEADY
Consecutive short paragraphs 0.3 - 3.5 TYPICAL STEADY
How much paragraph length varies 89% TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.1 - 4.0 TYPICAL STEADY
Typical paragraph length (median) 0.6 - 3.5 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 7% 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 14 - 26 TYPICAL STEADY
Percentage of words that are prepositions 7 - 17 TYPICAL STEADY
Percentage of words that are pronouns 10% TYPICAL STEADY
Percentage of words that are verbs 7 - 20 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Count of complex words (3+ syllables) 1 - 15 LOW STEADY
Total sentence count 1.9 - 5.6 LOW STEADY
Average word complexity (syllables per word) 1.4 - 1.6 TYPICAL STEADY
How easy the text is to read (higher = easier) 50 - 77 TYPICAL STEADY
Percentage of complex words (3+ syllables) 6 - 17 TYPICAL STEADY
Total syllables in the post 28 - 164 TYPICAL STEADY
Total word count of the post 20 - 109 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Parentheses usage per 1000 words 0-21 per 1k words HIGH VARIES
Percentage of sentences ending with exclamation 0 - 54 HIGH VARIES
Colon usage per 1000 words 0-25 per 1k words LOW VARIES
Ellipsis (...) usage per 1000 words ~0 per 1k words LOW STEADY
Em dash (—) usage per 1000 words ~0 per 1k words LOW STEADY
En dash (–) usage per 1000 words ~0 per 1k words LOW STEADY
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 0% LOW STEADY
Question marks per 1000 words 0-16 per 1k words LOW VARIES
Quotation mark usage per 1000 words 0-9 per 1k words LOW VARIES
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Comma usage per 1000 words 7-60 per 1k words TYPICAL STEADY
Exclamation marks per 1000 words 0-34 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-39 per 1k words TYPICAL VARIES
Percentage of sentences ending with a question 5% TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 220 HIGH VARIES
Number of narrative/story signals 1.3 - 2.8 HIGH STEADY
Number of quotation blocks 0.4 - 1.4 HIGH STEADY
Total characters in quoted content 0 - 220 HIGH VARIES
Use of story transitions 27% HIGH VARIES
Whether the post contains quotations 83% of posts HIGH STEADY
Whether the post tells a story 78% of posts HIGH STEADY
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Lines using past tense 60% TYPICAL STEADY
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Parenthetical breaks per 1000 words 0-21 per 1k words HIGH VARIES
Percentage of sentences under 8 words 16% LOW VARIES
Average number of clauses per sentence 1.5 - 2.9 TYPICAL STEADY
Average number of words per sentence 10 - 24 TYPICAL STEADY
Average words per sentence 10 - 24 TYPICAL STEADY
How much sentence length varies (normalized) 56% TYPICAL STEADY
How often paragraphs contain just one sentence 42% TYPICAL STEADY
Length of your longer sentences (80th percentile) 17 - 32 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 4 - 18 TYPICAL STEADY
Overall sentence complexity 17 - 66 TYPICAL STEADY
Percentage of sentences over 20 words 33% TYPICAL STEADY
Typical sentence length (median) 10 - 23 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 3.0 TYPICAL VARIES
Variation in sentence lengths 4 - 14 TYPICAL STEADY
Word count of shortest sentence 2 - 16 TYPICAL STEADY
Word count of the longest sentence 13 - 43 TYPICAL STEADY

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