Hannah Tyler's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 46 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 ↑ increasing
6x more
Percentage of emoji that are positive/celebratory
distinctive ↑ increasing
10x more
See example from 17 Jun 2025
Balance between positive and negative emoji
distinctive ↑ increasing
11x more
Average character length of hashtags
consistent
2x more
Number of emoji in call-to-action lines
↑ increasing
6x more
Proportion of hashtags placed at the end
3x more
Average emoji per line of text
↑ increasing
5x more

Does Less Of...

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

Ratio of lines starting with punctuation
consistent
rarely
Hook lines relative to total lines
consistent
1.2x less
Percentage of words that are verbs
consistent
1.2x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but your posts contain positive or celebratory emoji at a rate that's literally 10 times higher than the average LinkedIn user. It's not just that you use emoji more often overall (6x more, in fact) - it's that when you do, they're overwhelmingly upbeat, and your call-to-action lines are 6x more likely than average to be punctuated with those same good-vibes symbols. The balance is so skewed that your ratio of positive to negative emoji is 11x higher than the norm.

This works because, whether you mean to or not, you're signaling energy and optimism every time you show up - even if it's less than once a week. It's not something you could script. Try telling a ghostwriter, "use emoji 6x more and make 90% of them celebratory, but keep your verbs and hooks lower than average." They'd have no clue where to start. It's not a formula - it's your fingerprint, a set of instincts you couldn't fake if you tried.

And here's the kicker: you post so infrequently (just 0.1 times per week across 331 weeks) that each message stands out even more. 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 (Feb 2019 - Jun 2025)

Recent 7 posts since Dec 2023
vs
Earlier 39 posts before Dec 2023
Opening hashtags Increasing (8% → 43%)
More
Emoji usage Increasing (36% → 100%)
More

Style patterns based on 46 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

20 Feb 2019 - 17 Jun 2025

0.1 posts/week avg
42/331 active weeks
289 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
CTAs using command verbs (Click, Share, Comment, etc.) 17% HIGH VARIES
CTAs phrased as questions vs statements 2% LOW VARIES
Whether CTAs are concentrated at the end of the post 2% LOW VARIES
Average position of CTAs in the post Upper half TYPICAL VARIES
Whether CTAs include emoji 9% of posts TYPICAL VARIES
Whether CTAs include hashtags 9% of posts TYPICAL VARIES
Whether any call-to-action exists 61% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 57% HIGH STEADY
Average number of emoji appearing together in clusters 39% HIGH VARIES
Balance between positive and negative emoji 47% HIGH VARIES
Count of neutral/functional emoji 0.0 - 1.6 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 2.1 HIGH VARIES
Emoji count relative to sentence count 44% HIGH STEADY
Emoji density in CTA sections 0 - 67 HIGH VARIES
Emoji density in the hook section 3 - 36 HIGH STEADY
Emoji usage in the middle section of the post 0 - 91 HIGH VARIES
Emoji used to replace words entirely 14% HIGH VARIES
How consistently emoji pair with specific words 3% HIGH VARIES
How often the same emoji repeats across the post 7% HIGH VARIES
Largest group of adjacent emoji 41% HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.8 HIGH VARIES
Number of emoji in call-to-action lines 0.3 - 1.7 HIGH STEADY
Number of emoji in the opening hook 0.0 - 2.2 HIGH VARIES
Percentage of emoji that are neutral/functional 53% HIGH STEADY
Percentage of emoji that are positive/celebratory 47% HIGH VARIES
Percentage of lines containing at least one emoji 49% HIGH STEADY
Proportion of emoji appearing in clusters 14% HIGH VARIES
Proportion of emoji that appear multiple times 7% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 1.3 HIGH VARIES
Variety of different emoji used (unique/total ratio) 44% HIGH VARIES
Whether any emoji are used in the post 48% of posts HIGH VARIES
Whether the post starts with an emoji 4% HIGH VARIES
Average distance between repeated emoji 3% LOW 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
Percentage of lines that contain only emoji 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 count per 1000 words 0 - 30 TYPICAL VARIES
Number of different emoji types used 0.0 - 1.5 TYPICAL VARIES
Total number of emoji in the post 0.0 - 2.1 TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 30% HIGH VARIES
Count of positive contractions used 0.0 - 2.5 HIGH VARIES
Number of different contraction types 0.0 - 2.6 HIGH VARIES
Percentage of words that are contractions 1% HIGH VARIES
Total number of contractions 0.0 - 3.1 HIGH VARIES
Usage of negative contractions (don't, won't, can't) 26% HIGH VARIES
Usage of positive contractions (it's, I'm, we're) 1% HIGH VARIES
Variety of different contractions used 53% HIGH STEADY
Ratio of negative to positive contractions 44:1 TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'as' per 1000 words 0-25 per 1k words HIGH VARIES
Usage of 'because' per 1000 words 0-5 per 1k words HIGH VARIES
Usage of 'which' per 1000 words 0-5 per 1k words HIGH VARIES
Usage of 'if' per 1000 words 0-5 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-15 per 1k words LOW VARIES
Overall grammatical word usage 153 - 244 TYPICAL STEADY
Usage of 'a' per 1000 words 3 - 41 TYPICAL STEADY
Usage of 'and' per 1000 words 12 - 47 TYPICAL STEADY
Usage of 'at' per 1000 words 0-23 per 1k words TYPICAL VARIES
Usage of 'but' per 1000 words 0-6 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 - 28 TYPICAL STEADY
Usage of 'of' per 1000 words 1 - 29 TYPICAL STEADY
Usage of 'on' per 1000 words 0-17 per 1k words TYPICAL VARIES
Usage of 'so' per 1000 words 0-6 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-22 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 11 - 67 TYPICAL STEADY
Usage of 'to' per 1000 words 8 - 38 TYPICAL STEADY
Usage of 'who' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0-15 per 1k words TYPICAL VARIES
Variety of function words used 44% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 9 - 14 HIGH STEADY
Proportion of all-lowercase hashtags 64% HIGH STEADY
Proportion of hashtags placed at the end 74% HIGH STEADY
Proportion of hashtags using CamelCase 34% HIGH VARIES
Hashtag density per 100 words 0.0 - 5.5 LOW VARIES
Proportion of hashtags in ALL CAPS 2% LOW VARIES
Proportion of hashtags in the opening 20% TYPICAL VARIES
Proportion of hashtags woven into the text 5% TYPICAL VARIES
Ratio of inline hashtags to end hashtags 0 - 169 TYPICAL VARIES
Total number of hashtags 0.0 - 2.9 TYPICAL VARIES
Whether any hashtags are used 56% of posts TYPICAL STEADY
Whether the opening line contains a hashtag 23% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 1.0 HIGH VARIES
Whether the hook contains emoji 30% of posts HIGH VARIES
Whether there's a blank line after the hook 33% HIGH 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 203 - 416 TYPICAL STEADY
Character position where the hook ends 203 - 416 TYPICAL STEADY
Hook length relative to total post 64% TYPICAL STEADY
Hook lines relative to total lines 54% TYPICAL STEADY
Negation words in the hook 0.0 - 0.8 TYPICAL VARIES
Use of 'you/your' in the hook 1% TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 64% TYPICAL STEADY
Whether the hook contains a question 13% of posts TYPICAL VARIES
Whether there's a clear opening hook section 30% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average spacing between blank lines 0.6 - 2.5 HIGH STEADY
Blank lines per 100 total lines 23 - 50 HIGH STEADY
Proportion of blank space 36% HIGH STEADY
Ratio of lines starting with ALL CAPS 6% HIGH VARIES
Spacing between content-rich lines 1.1 - 2.4 HIGH STEADY
Percentage of single-word lines 1% LOW STEADY
Ratio of lines starting with punctuation 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Variation in block sizes 11% LOW VARIES
Average characters per line 86 - 217 TYPICAL STEADY
Average lines per text block 0.9 - 1.2 TYPICAL STEADY
Average words per line 15 - 36 TYPICAL STEADY
Lines containing exactly one sentence 48% TYPICAL STEADY
Number of visual text blocks 2.1 - 5.7 TYPICAL STEADY
Percentage of very short lines (<5 words) 14% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Ratio of lines starting with numbers 1% TYPICAL VARIES
Variation in line lengths 0 - 599 TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Variety of emoji used as bullets 1% HIGH VARIES
Average items per dash/bullet list 0% LOW STEADY
Consistency of emoji bullet indentation 0% LOW STEADY
Nesting depth of numbered lists 6% LOW VARIES
Number of dash/bullet list sections ~0.0 LOW STEADY
Number of numbered list sections 0.0 - 0.2 LOW VARIES
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Use of inline enumeration 0% LOW STEADY
Whether dash/bullet lists are used 0% of posts LOW STEADY
Average items per emoji list 15% TYPICAL VARIES
Consistency of numbered list formatting 2% TYPICAL VARIES
Number of emoji bullet list sections 0.0 - 0.2 TYPICAL VARIES
Whether any list structure is used 6% of posts TYPICAL VARIES
Whether emoji bullet lists are used 4% of posts TYPICAL VARIES
Whether numbered lists are used 2% of posts TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Common idioms and expressions per 1000 words 25% HIGH VARIES
Count of idiomatic expressions 0.0 - 0.2 HIGH VARIES
Count of words used only once 30 - 99 TYPICAL STEADY
How often three-word phrases repeat 91% TYPICAL VARIES
How often two-word phrases repeat 0.1 - 7.8 TYPICAL STEADY
Length of longest repeated phrase 0.2 - 3.4 TYPICAL STEADY
Number of unique words used 35 - 118 TYPICAL STEADY
Percentage of words used only once 85% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% TYPICAL STEADY
Unique words divided by total words 80% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with There is/It is 0.0-0.3 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-1.2 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-0.5 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.5 per post HIGH VARIES
Count of sentences starting with pronouns 0.3-3.1 per post HIGH STEADY
Count of sentences starting with subordinate clauses 0.0-1.0 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.8 per post HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 76% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 2% HIGH VARIES
Sentences starting with And, But, Or, So (%) 2% HIGH VARIES
Sentences starting with adverbs (%) 6% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 4 - 50 HIGH STEADY
Sentences starting with subordinate clauses (%) 4% HIGH VARIES
Sentences starting with time words (%) 2% HIGH VARIES
Count of sentences starting with -ing verbs 0.0-0.2 per post LOW VARIES
Sentences starting with -ing verbs (%) 38% LOW VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 1.6 HIGH VARIES
Whether the closing has emoji clusters 6% HIGH VARIES
Whether the ending includes emoji 44% of posts HIGH VARIES
ALL CAPS words in the closing 2% LOW VARIES
Whether the ending is a question 9% LOW VARIES
Character length of the closing 143 - 580 TYPICAL STEADY
Closing length relative to total post 70% TYPICAL STEADY
Whether the closing has a signature phrase 20% of posts TYPICAL VARIES
Whether the ending has a call-to-action 41% of posts TYPICAL VARIES
Whether the ending includes hashtags 54% of posts TYPICAL STEADY
Whether there's a clear closing section 78% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 93% HIGH STEADY
Consecutive long paragraphs 4% LOW VARIES
How frequently new paragraphs start 27 - 60 LOW STEADY
How much paragraph length varies 64% LOW VARIES
Average change in length between paragraphs 70% TYPICAL STEADY
Average sentences per paragraph 1.1 - 2.5 TYPICAL STEADY
Average sentences per paragraph 1.1 - 2.5 TYPICAL STEADY
Consecutive short paragraphs 1.5 - 4.6 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.5 - 3.3 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Total number of paragraphs 2.0 - 5.7 TYPICAL STEADY
Typical paragraph length (median) 0.8 - 2.5 TYPICAL STEADY
Variation in length changes between paragraphs 50% 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 5% 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 7% TYPICAL STEADY
Percentage of words that are nouns 15 - 27 TYPICAL STEADY
Percentage of words that are prepositions 8 - 14 TYPICAL STEADY
Percentage of words that are pronouns 9% TYPICAL STEADY
Percentage of words that are verbs 7 - 14 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.4 - 1.8 TYPICAL STEADY
Count of complex words (3+ syllables) 5 - 22 TYPICAL STEADY
How easy the text is to read (higher = easier) 36 - 71 TYPICAL STEADY
Percentage of complex words (3+ syllables) 9 - 21 TYPICAL STEADY
Total sentence count 2 - 10 TYPICAL STEADY
Total syllables in the post 62 - 250 TYPICAL STEADY
Total word count of the post 38 - 160 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Parentheses usage per 1000 words 0-23 per 1k words HIGH VARIES
Percentage of sentences trailing off with ellipsis 3% HIGH VARIES
Semicolon usage per 1000 words 0-5 per 1k words HIGH VARIES
Colon usage per 1000 words 0-27 per 1k words LOW VARIES
Em dash (—) usage per 1000 words ~0 per 1k words LOW STEADY
Exclamation marks per 1000 words 0-20 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 3% LOW VARIES
Question marks per 1000 words 0-8 per 1k words LOW VARIES
Quotation mark usage per 1000 words ~0 per 1k words LOW STEADY
Comma usage per 1000 words 9-68 per 1k words TYPICAL STEADY
Ellipsis (...) usage per 1000 words 0-10 per 1k words TYPICAL VARIES
En dash (–) usage per 1000 words 0-3 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-31 per 1k words TYPICAL STEADY
Percentage of sentences ending with exclamation 0 - 29 TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 111 HIGH VARIES
Number of narrative/story signals 0.8 - 3.0 HIGH STEADY
Number of quotation blocks 0.2 - 1.6 HIGH STEADY
Presence of dialogue attribution patterns 3% HIGH VARIES
Use of story transitions 17% HIGH VARIES
Whether the post contains quotations 70% of posts HIGH STEADY
Whether the post tells a story 61% of posts HIGH STEADY
Lines starting with quotation marks 0% LOW STEADY
Lines using past tense 41% TYPICAL STEADY
Total characters in quoted content 0 - 121 TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Parenthetical breaks per 1000 words 0-23 per 1k words HIGH VARIES
Percentage of sentences over 20 words 40% HIGH STEADY
Percentage of sentences under 8 words 21% LOW STEADY
Average number of clauses per sentence 1.2 - 3.6 TYPICAL STEADY
Average number of words per sentence 11 - 27 TYPICAL STEADY
Average words per sentence 11 - 27 TYPICAL STEADY
How much sentence length varies (normalized) 62% TYPICAL STEADY
How often paragraphs contain just one sentence 46% TYPICAL STEADY
Length of your longer sentences (80th percentile) 18 - 38 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 1 - 20 TYPICAL STEADY
Overall sentence complexity 0 - 120 TYPICAL VARIES
Typical sentence length (median) 8 - 26 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 3.2 TYPICAL VARIES
Variation in sentence lengths 4 - 17 TYPICAL STEADY
Word count of shortest sentence 0 - 19 TYPICAL VARIES
Word count of the longest sentence 22 - 49 TYPICAL STEADY

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