Ashley Fletcher's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 43 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
10x more
Average emoji per line of text
signature ↑ increasing
9x more
Number of emoji in call-to-action lines
signature ↑ increasing
8x more
Emoji count relative to sentence count
signature ↑ increasing
10x more
Proportion of hashtags in the opening
signature ↓ declining
5x more
Percentage of emoji that are neutral/functional
signature ↑ increasing
5x more
See example from 04 Dec 2025
Whether the opening line contains a hashtag
signature ↓ declining
4x more

Does Less Of...

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

CTAs phrased as questions vs statements
consistent
rarely
How frequently new paragraphs start
2x less
How often paragraphs contain just one sentence
2x less
Lines containing exactly one sentence
2.0x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but you use 10 times more emoji per sentence than the average LinkedIn poster. It's not just a sprinkle - it's a whole language. On top of that, your calls to action pack in 8x more emoji than most, and a full 10% of your lines contain at least one emoji. This isn't subtle. It's a signature.

This works because nobody scrolls past your posts and wonders if they're reading a bot. Emoji are your punctuation, your emphasis, your subtext - and your audience feels it, even if they can't explain why. Now try briefing a ghostwriter: "Make sure every sentence has 10x the usual emoji and open with 5x the hashtags, but don't ask questions in your CTAs." They'd think you're joking. You couldn't even reverse-engineer it yourself if you tried, because it's not a checklist - it's your AuthorDNA.

You post less than once a week, but every time you do, these patterns pulse through your writing. This is what Drumbeat captures - the invisible fingerprints your audience feels but you can't put into words. Your voice, decoded, at scale.

Style Evolution

How your writing has changed (Jun 2020 - Nov 2025)

Recent 20 posts since Dec 2023
vs
Earlier 23 posts before Dec 2023
Hashtag usage Declining (57% → 15%)
Less
Opening hashtags Declining (52% → 10%)
Less
Emoji usage Increasing (35% → 65%)
More

Style patterns based on 43 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

26 Jun 2020 - 28 Nov 2025

0.2 posts/week avg
37/284 active weeks
247 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.) 3% LOW VARIES
Whether CTAs are concentrated at the end of the post 0% LOW STEADY
Whether CTAs include hashtags 5% of posts LOW VARIES
Whether any call-to-action exists 33% of posts LOW VARIES
Whether CTAs include emoji 12% of posts TYPICAL VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 26% HIGH VARIES
Average emoji per line of text 94% HIGH STEADY
Balance between positive and negative emoji 16% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.4 HIGH VARIES
Count of neutral/functional emoji 0.0 - 6.6 HIGH VARIES
Count of positive/celebratory emoji 0.0 - 1.3 HIGH VARIES
Emoji count per 1000 words 0 - 64 HIGH VARIES
Emoji count relative to sentence count 90% HIGH STEADY
Emoji density in CTA sections 1 - 101 HIGH STEADY
Emoji density in the hook section 6 - 78 HIGH STEADY
Emoji usage in the middle section of the post 0 - 79 HIGH VARIES
How consistently the same emoji is used for bullets 12% HIGH VARIES
How often the same emoji repeats across the post 8% HIGH VARIES
Number of bullet point lines using emoji as markers 0.0 - 2.2 HIGH VARIES
Number of different emoji types used 0.0 - 4.0 HIGH VARIES
Number of emoji in call-to-action lines 0.8 - 2.1 HIGH STEADY
Number of emoji in the opening hook 0.8 - 2.2 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 7% HIGH VARIES
Percentage of emoji that are negative/warning 3% HIGH VARIES
Percentage of emoji that are neutral/functional 78% HIGH STEADY
Percentage of emoji that are positive/celebratory 19% HIGH VARIES
Percentage of lines containing at least one emoji 83% HIGH STEADY
Total count of repeated emoji across the post 0.0 - 2.3 HIGH VARIES
Total number of emoji in the post 0.0 - 5.4 HIGH VARIES
Variety of different emoji used (unique/total ratio) 54% HIGH STEADY
Variety of different emoji used as bullets 5% HIGH VARIES
Whether any emoji are used in the post 58% of posts HIGH STEADY
Whether emoji are used as bullet point markers 12% HIGH VARIES
Whether the post starts with an emoji 8% HIGH VARIES
Average number of emoji appearing together in clusters 0% LOW STEADY
Largest group of adjacent emoji 0% LOW STEADY
Number of emoji clusters (groups of adjacent emoji) ~0.0 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
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Emoji used to replace words entirely 5% TYPICAL VARIES
How consistently emoji pair with specific words 0% TYPICAL STEADY
Formality & Tone
9
Feature Your DNA vs Others Consistency
Variety of different contractions used 40% HIGH VARIES
Count of negative contractions used 16% TYPICAL VARIES
Count of positive contractions used 65% TYPICAL VARIES
Number of different contraction types 74% TYPICAL VARIES
Percentage of words that are contractions 1% TYPICAL VARIES
Ratio of negative to positive contractions 23:1 TYPICAL VARIES
Total number of contractions 81% TYPICAL VARIES
Usage of negative contractions (don't, won't, can't) 14% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 88% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'as' per 1000 words 0-17 per 1k words HIGH VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'by' per 1000 words 0-3 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-15 per 1k words LOW VARIES
Usage of 'that' per 1000 words 0-5 per 1k words LOW VARIES
Overall grammatical word usage 124 - 232 TYPICAL STEADY
Usage of 'a' per 1000 words 1 - 27 TYPICAL STEADY
Usage of 'and' per 1000 words 0 - 42 TYPICAL VARIES
Usage of 'at' per 1000 words 0-27 per 1k words TYPICAL VARIES
Usage of 'but' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0-23 per 1k words TYPICAL VARIES
Usage of 'if' per 1000 words 0-10 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 31 TYPICAL VARIES
Usage of 'on' per 1000 words 0 - 24 TYPICAL STEADY
Usage of 'so' per 1000 words 0-5 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 10 - 59 TYPICAL STEADY
Usage of 'to' per 1000 words 6 - 57 TYPICAL STEADY
Usage of 'which' per 1000 words 0-3 per 1k words TYPICAL VARIES
Usage of 'who' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0 - 28 TYPICAL VARIES
Variety of function words used 37% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 7 - 17 HIGH STEADY
Proportion of all-lowercase hashtags 81% HIGH STEADY
Proportion of hashtags in ALL CAPS 6% HIGH VARIES
Proportion of hashtags in the opening 88% HIGH STEADY
Whether the opening line contains a hashtag 88% HIGH STEADY
Proportion of hashtags placed at the end 12% LOW VARIES
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 - 1.9 LOW VARIES
Hashtag density per 100 words 0.0 - 7.6 TYPICAL VARIES
Proportion of hashtags using CamelCase 12% TYPICAL VARIES
Whether any hashtags are used 37% of posts TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 1.6 HIGH VARIES
Whether the hook contains emoji 51% of posts HIGH STEADY
Use of 'you/your' in the hook 1% LOW VARIES
Whether the hook contains a question 9% of posts 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 152 - 394 TYPICAL STEADY
Character position where the hook ends 152 - 394 TYPICAL STEADY
Hook length relative to total post 78% TYPICAL STEADY
Hook lines relative to total lines 74% TYPICAL STEADY
Negation words in the hook 0.0 - 0.7 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 78% TYPICAL STEADY
Whether there's a blank line after the hook 23% TYPICAL VARIES
Whether there's a clear opening hook section 26% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Average words per line 17 - 52 HIGH STEADY
Ratio of lines starting with quotes 3% HIGH VARIES
Variation in block sizes 85% HIGH VARIES
Variation in line lengths 0 - 1164 HIGH VARIES
Blank lines per 100 total lines 0 - 31 LOW VARIES
Lines containing exactly one sentence 27% LOW VARIES
Number of visual text blocks 0.3 - 4.3 LOW STEADY
Percentage of single-word lines 1% LOW STEADY
Percentage of very short lines (<5 words) 5% LOW VARIES
Predictability of line length pattern Very consistent LOW VARIES
Proportion of blank space 14% LOW VARIES
Ratio of lines starting with ALL CAPS 0% LOW STEADY
Spacing between content-rich lines 73% LOW VARIES
Average characters per line 106 - 310 TYPICAL STEADY
Average lines per text block 0.7 - 1.8 TYPICAL STEADY
Average spacing between blank lines 95% TYPICAL VARIES
Ratio of lines starting with numbers 2% TYPICAL VARIES
Ratio of lines starting with punctuation 4% TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per dash/bullet list 30% HIGH VARIES
Variety of emoji used as bullets 2% HIGH VARIES
Average items per emoji list 5% LOW VARIES
Consistency of emoji bullet indentation 0% LOW STEADY
Nesting depth of numbered lists 7% LOW VARIES
Number of emoji bullet list sections 0.0 - 0.2 LOW VARIES
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
Consistency of numbered list formatting 2% TYPICAL VARIES
Number of dash/bullet list sections 0.0 - 0.3 TYPICAL VARIES
Whether any list structure is used 9% of posts TYPICAL VARIES
Whether dash/bullet lists are used 5% of posts TYPICAL VARIES
Whether emoji bullet lists are used 2% 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 0% LOW STEADY
Count of idiomatic expressions ~0.0 LOW STEADY
How often three-word phrases repeat 30% LOW VARIES
How often two-word phrases repeat 0.0 - 4.4 LOW VARIES
Length of longest repeated phrase 77% LOW VARIES
Count of words used only once 14 - 96 TYPICAL STEADY
Number of unique words used 12 - 120 TYPICAL STEADY
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 85% 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 adverbs 0.0-1.1 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 0.0-0.5 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 0.0-1.0 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.7 per post HIGH VARIES
Sentences starting with -ing verbs (%) 8% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 3% HIGH VARIES
Sentences starting with And, But, Or, So (%) 3% HIGH VARIES
Sentences starting with adverbs (%) 8% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 43 HIGH VARIES
Sentences starting with subordinate clauses (%) 6% HIGH VARIES
Sentences starting with time words (%) 5% HIGH VARIES
Count of sentences starting with There is/It is 0.0-0.2 per post TYPICAL VARIES
Sentences starting with 'There is/are' or 'It is' (%) 58% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 2.1 HIGH VARIES
Whether the closing has emoji clusters 7% HIGH VARIES
Whether the ending includes emoji 58% of posts HIGH STEADY
Whether the ending is a question 7% LOW VARIES
ALL CAPS words in the closing 2% TYPICAL VARIES
Character length of the closing 78 - 625 TYPICAL STEADY
Closing length relative to total post 85% TYPICAL STEADY
Whether the closing has a signature phrase 12% of posts TYPICAL VARIES
Whether the ending has a call-to-action 44% of posts TYPICAL VARIES
Whether the ending includes hashtags 37% of posts TYPICAL VARIES
Whether there's a clear closing section 65% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Average change in length between paragraphs 0.0 - 2.9 HIGH VARIES
Closing paragraph length vs body average 1% HIGH STEADY
Consecutive long paragraphs 23% HIGH VARIES
How much paragraph length varies 0.0 - 5.2 HIGH VARIES
Opening paragraph length vs body average 1% HIGH STEADY
Consecutive short paragraphs 0.0 - 2.7 LOW VARIES
How frequently new paragraphs start 13 - 50 LOW STEADY
Total number of paragraphs 0.3 - 4.3 LOW STEADY
Average sentences per paragraph 1.5 - 4.1 TYPICAL STEADY
Average sentences per paragraph 1.5 - 4.1 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.7 - 4.8 TYPICAL STEADY
Typical paragraph length (median) 1.4 - 4.1 TYPICAL STEADY
Variation in length changes between paragraphs 0.0 - 2.9 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 7% TYPICAL STEADY
Percentage of words that are nouns 17 - 31 TYPICAL STEADY
Percentage of words that are prepositions 8 - 17 TYPICAL STEADY
Percentage of words that are pronouns 9% TYPICAL STEADY
Percentage of words that are verbs 8 - 17 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.4 - 1.7 TYPICAL STEADY
Count of complex words (3+ syllables) 0 - 23 TYPICAL VARIES
How easy the text is to read (higher = easier) 39 - 75 TYPICAL STEADY
Percentage of complex words (3+ syllables) 8 - 19 TYPICAL STEADY
Total sentence count 0 - 11 TYPICAL VARIES
Total syllables in the post 2 - 263 TYPICAL STEADY
Total word count of the post 0 - 173 TYPICAL VARIES
Punctuation Style
17
Feature Your DNA vs Others Consistency
Ellipsis (...) usage per 1000 words 0-16 per 1k words HIGH VARIES
En dash (–) usage per 1000 words 0-7 per 1k words HIGH VARIES
Hyphen usage per 1000 words 0-65 per 1k words HIGH VARIES
Parentheses usage per 1000 words 0-15 per 1k words HIGH VARIES
Percentage of sentences trailing off with ellipsis 7% HIGH VARIES
Colon usage per 1000 words 0-14 per 1k words LOW VARIES
Comma usage per 1000 words 0-42 per 1k words LOW VARIES
Exclamation marks 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 0-3 per 1k words LOW VARIES
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 5% LOW VARIES
Question marks per 1000 words 0-9 per 1k words LOW VARIES
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Em dash (—) usage per 1000 words 0-5 per 1k words TYPICAL VARIES
Quotation mark usage per 1000 words 0-16 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 167 HIGH VARIES
Lines starting with quotation marks 3% HIGH VARIES
Number of narrative/story signals 1.0 - 2.9 HIGH STEADY
Presence of dialogue attribution patterns 1% HIGH STEADY
Total characters in quoted content 0 - 199 HIGH VARIES
Use of story transitions 53% HIGH STEADY
Whether the post tells a story 77% of posts HIGH STEADY
Lines using past tense 57% TYPICAL STEADY
Number of quotation blocks 0.0 - 1.1 TYPICAL VARIES
Whether the post contains quotations 49% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Parenthetical breaks per 1000 words 0-16 per 1k words HIGH VARIES
Variation in sentence lengths 0 - 25 HIGH STEADY
How often paragraphs contain just one sentence 24% LOW VARIES
Average number of clauses per sentence 1.1 - 2.7 TYPICAL STEADY
Average number of words per sentence 8 - 28 TYPICAL STEADY
Average words per sentence 8 - 28 TYPICAL STEADY
How much sentence length varies (normalized) 67% TYPICAL STEADY
Length of your longer sentences (80th percentile) 4 - 59 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 2 - 15 TYPICAL STEADY
Overall sentence complexity 0 - 84 TYPICAL VARIES
Percentage of sentences over 20 words 30% TYPICAL STEADY
Percentage of sentences under 8 words 25% TYPICAL STEADY
Typical sentence length (median) 7 - 24 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 5.7 TYPICAL VARIES
Word count of shortest sentence 1 - 14 TYPICAL STEADY
Word count of the longest sentence 6 - 62 TYPICAL STEADY

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