HSS Pro Service Marketplace's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 17 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

How consistently emoji pair with specific words
signature ↑ increasing
46x more
Proportion of emoji that appear multiple times
signature ↑ increasing
61x more
How often the same emoji repeats across the post
signature ↑ increasing
14x more
Number of emoji in call-to-action lines
signature ↑ increasing
10x more
Emoji count relative to sentence count
signature ↑ increasing
7x more
Average emoji per line of text
signature ↑ increasing
7x more
Count of positive/celebratory emoji
signature ↑ increasing
15x more

Does Less Of...

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

Whether there's a blank line after the hook
consistent
rarely
Percentage of sentences ending with a question
consistent
rarely
Whether the hook contains a question
consistent
rarely
Whether the ending is a question
consistent
rarely
Use of story transitions
consistent
rarely
Usage of 'as' per 1000 words
consistent
rarely
CTAs using command verbs (Click, Share, Comment, etc.)
consistent
rarely
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but you pair specific words with the same emoji 46 times more than the average LinkedIn author. Not only that, but when you reach for an emoji, you’re 61 times more likely to use one you’ve already used before. It’s not just flair - it’s an almost algorithmic fingerprint. If someone tried to reverse-engineer your posts from the outside, your emoji choices would give you away instantly.

Why does this work? It makes your messaging unmistakable. Readers start to recognize the rhythm and signature of your posts before they even see your name. Now try briefing this to a ghostwriter: “Use the same emoji, in the same spot, with the same words, almost every time, and make it feel natural.” They’d call you insane - because it’s not a rule, it’s muscle memory. You couldn’t explain it, let alone replicate it on demand.

And you do all this despite barely posting - less than once a week, over more than a decade. 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 2014 - May 2025)

Recent 5 posts since Dec 2023
vs
Earlier 13 posts before Dec 2023
Hashtag usage Increasing (8% → 20%)
More
Opening hashtags Increasing (8% → 20%)
More
Emoji usage Increasing (23% → 60%)
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

30 Jun 2014 - 16 May 2025

0 posts/week avg
17/568 active weeks
551 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 Near top LOW VARIES
CTAs phrased as questions vs statements 0% LOW STEADY
CTAs using command verbs (Click, Share, Comment, etc.) 0% LOW STEADY
Whether CTAs are concentrated at the end of the post 0% LOW STEADY
Whether CTAs include hashtags 0% of posts LOW STEADY
Whether CTAs include emoji 6% of posts TYPICAL VARIES
Whether any call-to-action exists 47% of posts TYPICAL VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 17% HIGH VARIES
Average emoji per line of text 76% HIGH STEADY
Average number of emoji appearing together in clusters 0.0 - 3.5 HIGH VARIES
Balance between positive and negative emoji 50% HIGH VARIES
Count of neutral/functional emoji 0.0 - 1.8 HIGH VARIES
Count of positive/celebratory emoji 0.0 - 4.4 HIGH VARIES
Emoji count per 1000 words 0 - 37 HIGH VARIES
Emoji count relative to sentence count 68% HIGH STEADY
Emoji density in CTA sections 0 - 179 HIGH VARIES
Emoji density in the hook section 4 - 52 HIGH STEADY
Emoji used to replace words entirely 20% HIGH VARIES
How consistently emoji pair with specific words 27% HIGH STEADY
How often the same emoji repeats across the post 36% HIGH STEADY
Largest group of adjacent emoji 0.0 - 3.0 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.8 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 3.8 HIGH VARIES
Number of emoji in the opening hook 0.4 - 1.9 HIGH STEADY
Percentage of emoji that are neutral/functional 50% HIGH VARIES
Percentage of emoji that are positive/celebratory 50% HIGH VARIES
Percentage of lines containing at least one emoji 46% HIGH STEADY
Percentage of lines that contain only emoji 3% HIGH VARIES
Proportion of emoji appearing in clusters 26% HIGH VARIES
Proportion of emoji that appear multiple times 33% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 2.8 HIGH VARIES
Total number of emoji in the post 0.0 - 2.7 HIGH VARIES
Whether any emoji are used in the post 35% of posts HIGH VARIES
Whether the post starts with an emoji 33% HIGH VARIES
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 'corpspeak' type 0% LOW STEADY
Percentage of emoji that are negative/warning 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 usage in the middle section of the post 5% TYPICAL VARIES
Number of different emoji types used 0.0 - 1.2 TYPICAL VARIES
Variety of different emoji used (unique/total ratio) 22% TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 0% LOW STEADY
Count of positive contractions used 18% LOW VARIES
Number of different contraction types 18% LOW VARIES
Ratio of negative to positive contractions balanced LOW STEADY
Total number of contractions 18% LOW VARIES
Usage of negative contractions (don't, won't, can't) 0% LOW STEADY
Percentage of words that are contractions 68% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 68% TYPICAL VARIES
Variety of different contractions used 18% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'for' per 1000 words 0 - 76 HIGH VARIES
Usage of 'if' per 1000 words 0 - 34 HIGH VARIES
Usage of 'so' per 1000 words 0-13 per 1k words HIGH VARIES
Usage of 'as' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'by' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'is' per 1000 words 0-7 per 1k words LOW VARIES
Usage of 'on' per 1000 words 0-15 per 1k words LOW VARIES
Usage of 'which' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'who' per 1000 words ~0 per 1k words LOW STEADY
Overall grammatical word usage 127 - 288 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 39 TYPICAL VARIES
Usage of 'and' per 1000 words 0 - 55 TYPICAL VARIES
Usage of 'at' per 1000 words 0-17 per 1k words TYPICAL VARIES
Usage of 'but' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 42 TYPICAL VARIES
Usage of 'that' per 1000 words 0-18 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 0 - 72 TYPICAL VARIES
Usage of 'to' per 1000 words 4 - 72 TYPICAL STEADY
Usage of 'with' per 1000 words 0 - 32 TYPICAL VARIES
Variety of function words used 26% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 3 - 19 HIGH STEADY
Proportion of all-lowercase hashtags 50% HIGH VARIES
Proportion of hashtags in the opening 100% HIGH STEADY
Proportion of hashtags using CamelCase 50% HIGH VARIES
Whether the opening line contains a hashtag 100% HIGH STEADY
Hashtag density per 100 words 64% LOW VARIES
Proportion of hashtags in ALL CAPS 0% LOW STEADY
Proportion of hashtags placed at the end 0% LOW STEADY
Proportion of hashtags woven into the text 0% LOW STEADY
Ratio of inline hashtags to end hashtags 0% LOW STEADY
Total number of hashtags 0.0 - 0.5 LOW VARIES
Whether any hashtags are used 12% of posts LOW VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 1.1 HIGH VARIES
Whether the hook contains emoji 29% of posts HIGH VARIES
Whether the hook starts with a conjunction 6% HIGH VARIES
ALL CAPS words in the hook 1% LOW VARIES
Negation words in the hook 0.0 - 0.3 LOW VARIES
Whether the hook contains a question 0% of posts LOW STEADY
Whether there's a blank line after the hook 0% LOW STEADY
Whether there's a clear opening hook section 6% of posts LOW VARIES
Character count of the hook 95 - 260 TYPICAL STEADY
Character position where the hook ends 95 - 260 TYPICAL STEADY
Hook length relative to total post 93% TYPICAL STEADY
Hook lines relative to total lines 90% TYPICAL STEADY
Use of 'you/your' in the hook 2% TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 93% TYPICAL STEADY
Line Structure
18
Feature Your DNA vs Others Consistency
Average lines per text block 0.4 - 3.5 HIGH STEADY
Ratio of lines starting with ALL CAPS 4% HIGH VARIES
Ratio of lines starting with numbers 3% HIGH VARIES
Average spacing between blank lines 12% LOW VARIES
Blank lines per 100 total lines 0 - 13 LOW VARIES
Lines containing exactly one sentence 30% LOW VARIES
Number of visual text blocks 0.4 - 1.9 LOW STEADY
Percentage of single-word lines 0% LOW STEADY
Proportion of blank space 2% LOW VARIES
Ratio of lines starting with punctuation 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Spacing between content-rich lines 53% LOW VARIES
Variation in block sizes 0% LOW STEADY
Variation in line lengths 0 - 162 LOW VARIES
Average characters per line 73 - 142 TYPICAL STEADY
Average words per line 12 - 26 TYPICAL STEADY
Percentage of very short lines (<5 words) 10% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL VARIES
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
Count of words used only once 11 - 42 LOW STEADY
How often three-word phrases repeat 55% LOW VARIES
Number of unique words used 10 - 52 LOW STEADY
How often two-word phrases repeat 0.0 - 9.5 TYPICAL VARIES
Length of longest repeated phrase 100% TYPICAL VARIES
Percentage of words used only once 88% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% TYPICAL STEADY
Unique words divided by total words 87% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with -ing verbs 0.0-1.1 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-0.9 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-0.6 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 0.0-0.6 per post HIGH VARIES
Sentences starting with -ing verbs (%) 0 - 41 HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 1% 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
Count of sentences starting with There is/It is ~0.0 per post LOW STEADY
Count of sentences starting with time words ~0.0 per post LOW STEADY
Sentences starting with 'There is/are' or 'It is' (%) 0% LOW STEADY
Sentences starting with time words (%) 0% LOW STEADY
Count of sentences starting with pronouns 0.0-1.3 per post TYPICAL 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 - 2.5 HIGH VARIES
Whether the closing has emoji clusters 12% HIGH VARIES
Whether the ending includes emoji 29% of posts HIGH VARIES
ALL CAPS words in the closing 1% LOW VARIES
Whether the ending includes hashtags 12% of posts LOW VARIES
Whether the ending is a question 0% LOW STEADY
Character length of the closing 95 - 253 TYPICAL STEADY
Closing length relative to total post 92% TYPICAL STEADY
Whether the closing has a signature phrase 12% of posts TYPICAL VARIES
Whether the ending has a call-to-action 35% of posts TYPICAL VARIES
Whether there's a clear closing section 59% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Opening paragraph length vs body average 1% HIGH STEADY
Consecutive long paragraphs 6% LOW VARIES
Consecutive short paragraphs 0.2 - 3.2 LOW STEADY
How much paragraph length varies 38% LOW STEADY
Total number of paragraphs 0.5 - 3.7 LOW STEADY
Variation in length changes between paragraphs 21% LOW VARIES
Average change in length between paragraphs 62% TYPICAL STEADY
Average sentences per paragraph 1.1 - 3.2 TYPICAL STEADY
Average sentences per paragraph 1.1 - 3.2 TYPICAL STEADY
Closing paragraph length vs body average 67% TYPICAL STEADY
How frequently new paragraphs start 40 - 75 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.4 - 3.3 TYPICAL STEADY
Typical paragraph length (median) 0.9 - 3.2 TYPICAL STEADY
Parts of Speech
9
Feature Your DNA vs Others Consistency
Percentage of auxiliary/helper verbs 2% LOW VARIES
Balance/distribution of different word types Fairly consistent TYPICAL STEADY
Percentage of words that are adjectives 5% TYPICAL STEADY
Percentage of words that are adverbs 3% TYPICAL VARIES
Percentage of words that are determiners 7% TYPICAL STEADY
Percentage of words that are nouns 9 - 33 TYPICAL STEADY
Percentage of words that are prepositions 5 - 17 TYPICAL STEADY
Percentage of words that are pronouns 9% TYPICAL STEADY
Percentage of words that are verbs 10 - 25 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Count of complex words (3+ syllables) 0.6 - 7.8 LOW STEADY
Percentage of complex words (3+ syllables) 4 - 18 LOW STEADY
Total sentence count 1.7 - 4.5 LOW STEADY
Total syllables in the post 13 - 98 LOW STEADY
Total word count of the post 7 - 69 LOW STEADY
Average word complexity (syllables per word) 1.3 - 1.7 TYPICAL STEADY
How easy the text is to read (higher = easier) 53 - 83 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Semicolon usage per 1000 words 0-9 per 1k words HIGH VARIES
Colon usage per 1000 words 0-7 per 1k words LOW VARIES
Em dash (—) usage per 1000 words ~0 per 1k words LOW STEADY
En dash (–) usage per 1000 words ~0 per 1k words LOW STEADY
Hyphen usage per 1000 words 0-16 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 0% LOW STEADY
Percentage of sentences trailing off with ellipsis 0% LOW STEADY
Question marks per 1000 words ~0 per 1k words LOW STEADY
Quotation mark usage per 1000 words ~0 per 1k words LOW STEADY
Comma usage per 1000 words 0-119 per 1k words TYPICAL VARIES
Ellipsis (...) usage per 1000 words 0-8 per 1k words TYPICAL VARIES
Exclamation marks per 1000 words 0-34 per 1k words TYPICAL VARIES
Parentheses usage per 1000 words 0-10 per 1k words TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 44 TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0% LOW STEADY
Lines starting with quotation marks 0% LOW STEADY
Number of quotation blocks 0.0 - 0.6 LOW VARIES
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0% LOW STEADY
Use of story transitions 0% LOW STEADY
Whether the post contains quotations 18% of posts LOW VARIES
Whether the post tells a story 18% of posts LOW VARIES
Lines using past tense 58% TYPICAL STEADY
Number of narrative/story signals 0.1 - 1.6 TYPICAL STEADY
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
How often paragraphs contain just one sentence 30% LOW VARIES
Parenthetical breaks per 1000 words 0-10 per 1k words LOW VARIES
Percentage of sentences over 20 words 15% LOW VARIES
Average number of clauses per sentence 1.4 - 2.9 TYPICAL STEADY
Average number of words per sentence 6 - 19 TYPICAL STEADY
Average words per sentence 6 - 19 TYPICAL STEADY
How much sentence length varies (normalized) 44% TYPICAL STEADY
Length of your longer sentences (80th percentile) 7 - 27 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 3 - 14 TYPICAL STEADY
Overall sentence complexity 6 - 54 TYPICAL STEADY
Percentage of sentences under 8 words 38% TYPICAL STEADY
Typical sentence length (median) 5 - 19 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 5.6 TYPICAL VARIES
Variation in sentence lengths 0 - 12 TYPICAL VARIES
Word count of shortest sentence 3 - 13 TYPICAL STEADY
Word count of the longest sentence 7 - 28 TYPICAL STEADY

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