Rebecca Halards's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 61 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 positive/celebratory
distinctive ↑ increasing
10x more
See example from 19 Nov 2025
Balance between positive and negative emoji
distinctive ↑ increasing
11x more
Number of emoji in the opening hook
↑ increasing
6x more
Average character length of hashtags
consistent
2x more
Percentage of lines containing at least one emoji
consistent ↑ increasing
4x more
Count of positive/celebratory emoji
↑ increasing
8x more
Proportion of all-lowercase hashtags
3x more

Does Less Of...

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

Whether CTAs include emoji
consistent
rarely
Usage of 'because' per 1000 words
consistent
rarely
ALL CAPS words in the closing
consistent
3x less
Percentage of sentences under 8 words
1.6x less
Unique words divided by total words
consistent
1.0x less
Percentage of words used only once
consistent
1.0x 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 10 times more than the average LinkedIn author. Not only that, but your opening lines are 6 times more likely to hit readers with an emoji right out of the gate. It's like you subconsciously engineered your writing to radiate optimism before anyone even reads the second line.

This works because it signals relentless positivity and immediate approachability - the digital equivalent of a confetti cannon at every entrance. Now try briefing that to a ghostwriter: "Hey, make sure the *balance* between positive and negative emoji is 11x higher than average, and stack the opening hook with 6x more emoji than most people." They'd think you were joking. This isn't something you could teach or even force yourself to do; it's so instinctive you probably couldn't turn it off if you tried.

You post less than once a week - 0.1 times per week, to be exact - but your style is unmistakably yours. That's what Drumbeat captures: the patterns you can't explain, but your audience instantly recognizes. It's your voice, at scale, without compromise.

Style Evolution

How your writing has changed (Jan 2016 - Nov 2025)

Recent 21 posts since Dec 2023
vs
Earlier 40 posts before Dec 2023
Opening hashtags Declining (35% → 14%)
Less
Emoji usage Increasing (5% → 24%)
More

Style patterns based on 61 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

26 Jan 2016 - 27 Nov 2025

0.1 posts/week avg
60/514 active weeks
454 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 4% LOW VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 6% LOW VARIES
Whether CTAs are concentrated at the end of the post 2% LOW VARIES
Whether CTAs include emoji 0% of posts LOW STEADY
Whether CTAs include hashtags 7% of posts LOW VARIES
Average position of CTAs in the post Near top TYPICAL VARIES
Whether any call-to-action exists 41% of posts TYPICAL VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 12% HIGH VARIES
Average emoji per line of text 34% HIGH STEADY
Average number of emoji appearing together in clusters 25% HIGH VARIES
Balance between positive and negative emoji 48% HIGH STEADY
Count of neutral/functional emoji 0.0 - 3.2 HIGH VARIES
Count of positive/celebratory emoji 0.0 - 2.1 HIGH VARIES
Emoji count relative to sentence count 25% HIGH STEADY
Emoji density in the hook section 2 - 46 HIGH STEADY
Largest group of adjacent emoji 25% HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.5 HIGH VARIES
Number of emoji in the opening hook 0.6 - 2.1 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 6% HIGH VARIES
Percentage of emoji that are neutral/functional 52% HIGH STEADY
Percentage of emoji that are positive/celebratory 48% HIGH STEADY
Percentage of lines containing at least one emoji 33% HIGH STEADY
Total count of repeated emoji across the post 0.0 - 1.0 HIGH VARIES
Whether the post starts with an emoji 12% HIGH VARIES
Count of negative/warning emoji ~0.0 LOW STEADY
Emoji count per 1000 words 2% LOW VARIES
Emoji used to replace words entirely 1% LOW VARIES
How consistently emoji pair with specific words 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
Number of different emoji types used 0.0 - 1.2 LOW VARIES
Percentage of emoji that are negative/warning 0% LOW STEADY
Percentage of lines that contain only emoji 0% LOW STEADY
Proportion of emoji that appear multiple times 0% LOW STEADY
Total number of emoji in the post 0.0 - 1.5 LOW VARIES
Variety of different emoji used as bullets 0% LOW STEADY
Whether any emoji are used in the post 13% of posts LOW VARIES
Whether emoji are used as bullet point markers 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Emoji density in CTA sections 10% TYPICAL VARIES
Emoji usage in the middle section of the post 4% TYPICAL VARIES
How often the same emoji repeats across the post 3% TYPICAL VARIES
Number of emoji in call-to-action lines 0.0 - 0.7 TYPICAL VARIES
Proportion of emoji appearing in clusters 3% TYPICAL VARIES
Variety of different emoji used (unique/total ratio) 13% TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 7% LOW VARIES
Ratio of negative to positive contractions 1:20 LOW VARIES
Usage of negative contractions (don't, won't, can't) 6% LOW VARIES
Count of positive contractions used 43% TYPICAL VARIES
Number of different contraction types 44% TYPICAL VARIES
Percentage of words that are contractions 73% TYPICAL VARIES
Total number of contractions 49% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 67% TYPICAL VARIES
Variety of different contractions used 27% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'but' per 1000 words 0-11 per 1k words HIGH VARIES
Usage of 'so' per 1000 words 0-11 per 1k words HIGH VARIES
Usage of 'the' per 1000 words 19 - 78 HIGH STEADY
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'by' per 1000 words 0-5 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-17 per 1k words LOW VARIES
Usage of 'who' per 1000 words 0-1 per 1k words LOW VARIES
Overall grammatical word usage 158 - 301 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 43 TYPICAL VARIES
Usage of 'and' per 1000 words 13 - 55 TYPICAL STEADY
Usage of 'as' per 1000 words 0-15 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-22 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 35 TYPICAL VARIES
Usage of 'if' per 1000 words 0-12 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 35 TYPICAL VARIES
Usage of 'on' per 1000 words 0-22 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-19 per 1k words TYPICAL VARIES
Usage of 'to' per 1000 words 7 - 63 TYPICAL STEADY
Usage of 'which' per 1000 words 0-3 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0-21 per 1k words TYPICAL VARIES
Variety of function words used 41% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 8 - 15 HIGH STEADY
Proportion of all-lowercase hashtags 64% HIGH STEADY
Proportion of hashtags in ALL CAPS 8% HIGH VARIES
Proportion of hashtags in the opening 28% HIGH VARIES
Proportion of hashtags placed at the end 63% HIGH STEADY
Proportion of hashtags using CamelCase 28% HIGH VARIES
Proportion of hashtags woven into the text 9% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 212 HIGH VARIES
Whether any hashtags are used 72% of posts HIGH STEADY
Whether the opening line contains a hashtag 39% HIGH VARIES
Hashtag density per 100 words 0 - 11 TYPICAL VARIES
Total number of hashtags 0.3 - 4.1 TYPICAL STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
Whether the hook starts with a conjunction 3% HIGH VARIES
ALL CAPS words in the hook 1% LOW VARIES
Use of 'you/your' in the hook 1% LOW VARIES
Character count of the hook 160 - 413 TYPICAL STEADY
Character position where the hook ends 160 - 413 TYPICAL STEADY
Hook length relative to total post 75% TYPICAL STEADY
Hook lines relative to total lines 66% TYPICAL STEADY
Negation words in the hook 0.0 - 0.9 TYPICAL VARIES
Number of emoji in the hook 0.0 - 0.6 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 75% TYPICAL STEADY
Whether the hook contains a question 12% of posts TYPICAL VARIES
Whether the hook contains emoji 12% of posts TYPICAL VARIES
Whether there's a blank line after the hook 18% TYPICAL VARIES
Whether there's a clear opening hook section 23% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Variation in line lengths 0 - 1370 HIGH VARIES
Number of visual text blocks 0.9 - 4.2 LOW STEADY
Ratio of lines starting with ALL CAPS 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Average characters per line 69 - 269 TYPICAL STEADY
Average lines per text block 0.8 - 1.9 TYPICAL STEADY
Average spacing between blank lines 91% TYPICAL VARIES
Average words per line 11 - 46 TYPICAL STEADY
Blank lines per 100 total lines 4 - 40 TYPICAL STEADY
Lines containing exactly one sentence 42% TYPICAL STEADY
Percentage of single-word lines 2% TYPICAL VARIES
Percentage of very short lines (<5 words) 17% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 22% TYPICAL STEADY
Ratio of lines starting with numbers 2% TYPICAL VARIES
Ratio of lines starting with punctuation 2% TYPICAL VARIES
Spacing between content-rich lines 0.4 - 2.1 TYPICAL STEADY
Variation in block sizes 47% TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Use of inline enumeration 2% HIGH VARIES
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 - 0.2 LOW VARIES
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
Variety of emoji used as bullets 0% LOW STEADY
Whether any list structure is used 3% of posts LOW VARIES
Whether emoji bullet lists are used 0% of posts LOW STEADY
Whether numbered lists are used 0% of posts LOW STEADY
Average items per dash/bullet list 13% TYPICAL VARIES
Whether dash/bullet lists are used 3% 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 52% LOW VARIES
Count of words used only once 21 - 75 TYPICAL STEADY
How often two-word phrases repeat 0.0 - 7.4 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 2.5 TYPICAL VARIES
Number of unique words used 23 - 94 TYPICAL STEADY
Percentage of words used only once 84% 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 -ing verbs 0.0-0.6 per post HIGH VARIES
Count of sentences starting with There is/It is 0.0-0.5 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-0.9 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-1.0 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.4 per post HIGH VARIES
Count of sentences starting with pronouns 0.1-2.5 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 0.0-0.4 per post HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 3% HIGH VARIES
Sentences starting with -ing verbs (%) 4% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 2% HIGH VARIES
Sentences starting with And, But, Or, So (%) 5% HIGH VARIES
Sentences starting with adverbs (%) 7% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 3 - 43 HIGH STEADY
Sentences starting with subordinate clauses (%) 7% HIGH VARIES
Sentences starting with time words (%) 1% HIGH VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Whether the ending includes hashtags 69% of posts HIGH STEADY
ALL CAPS words in the closing 1% LOW STEADY
Number of emoji in the closing 0.0 - 0.4 LOW VARIES
Whether the closing has emoji clusters 0% LOW STEADY
Whether the ending includes emoji 8% of posts LOW VARIES
Character length of the closing 163 - 532 TYPICAL STEADY
Closing length relative to total post 84% TYPICAL STEADY
Whether the closing has a signature phrase 21% of posts TYPICAL VARIES
Whether the ending has a call-to-action 26% of posts TYPICAL VARIES
Whether the ending is a question 18% TYPICAL VARIES
Whether there's a clear closing section 69% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Average change in length between paragraphs 0.5 - 2.3 HIGH STEADY
Opening paragraph length vs body average 2% HIGH STEADY
Consecutive short paragraphs 0.4 - 2.9 LOW STEADY
How frequently new paragraphs start 11 - 75 LOW STEADY
Average sentences per paragraph 1.2 - 3.3 TYPICAL STEADY
Average sentences per paragraph 1.2 - 3.3 TYPICAL STEADY
Closing paragraph length vs body average 75% TYPICAL VARIES
Consecutive long paragraphs 10% TYPICAL VARIES
How much paragraph length varies 0.0 - 3.2 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.9 - 4.3 TYPICAL STEADY
Total number of paragraphs 1.1 - 4.3 TYPICAL STEADY
Typical paragraph length (median) 1.1 - 3.3 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 7% TYPICAL STEADY
Percentage of words that are adverbs 4% TYPICAL STEADY
Percentage of words that are determiners 9% TYPICAL STEADY
Percentage of words that are nouns 15 - 28 TYPICAL STEADY
Percentage of words that are prepositions 7 - 15 TYPICAL STEADY
Percentage of words that are pronouns 8% 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) 1.3 - 1.9 TYPICAL STEADY
Count of complex words (3+ syllables) 3 - 21 TYPICAL STEADY
How easy the text is to read (higher = easier) 30 - 79 TYPICAL STEADY
Percentage of complex words (3+ syllables) 6 - 27 TYPICAL STEADY
Total sentence count 2.1 - 8.4 TYPICAL STEADY
Total syllables in the post 35 - 214 TYPICAL STEADY
Total word count of the post 21 - 136 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Multiple question marks per 1000 words 0-2 per 1k words HIGH VARIES
Percentage of sentences trailing off with ellipsis 2% HIGH VARIES
Semicolon usage per 1000 words 0-4 per 1k words HIGH VARIES
Colon usage per 1000 words 0-33 per 1k words LOW VARIES
Em dash (—) usage per 1000 words 0-4 per 1k words LOW VARIES
Exclamation marks per 1000 words 0-25 per 1k words LOW VARIES
Hyphen usage per 1000 words 0-22 per 1k words LOW VARIES
Mixed punctuation clusters per 1000 words ~0 per 1k words LOW STEADY
Multiple exclamation marks per 1000 words 0-2 per 1k words LOW VARIES
Parentheses usage per 1000 words 0-5 per 1k words LOW VARIES
Question marks per 1000 words 0-16 per 1k words LOW VARIES
Quotation mark usage per 1000 words 0-3 per 1k words LOW VARIES
Comma usage per 1000 words 12-70 per 1k words TYPICAL STEADY
Ellipsis (...) usage per 1000 words 0-9 per 1k words TYPICAL VARIES
En dash (–) usage per 1000 words 0-3 per 1k words TYPICAL VARIES
Percentage of sentences ending with a question 4% TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 30 TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Lines starting with quotation marks 0% LOW STEADY
Total characters in quoted content 0 - 93 LOW VARIES
Average length of quoted passages 0 - 72 TYPICAL VARIES
Lines using past tense 48% TYPICAL STEADY
Number of narrative/story signals 0.6 - 2.5 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.0 TYPICAL VARIES
Presence of dialogue attribution patterns 0% TYPICAL STEADY
Use of story transitions 12% TYPICAL VARIES
Whether the post contains quotations 46% of posts TYPICAL VARIES
Whether the post tells a story 52% of posts TYPICAL STEADY
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Parenthetical breaks per 1000 words 0-7 per 1k words LOW VARIES
Percentage of sentences under 8 words 20% LOW VARIES
Average number of clauses per sentence 1.6 - 2.8 TYPICAL STEADY
Average number of words per sentence 9 - 21 TYPICAL STEADY
Average words per sentence 9 - 21 TYPICAL STEADY
How much sentence length varies (normalized) 52% TYPICAL STEADY
How often paragraphs contain just one sentence 35% TYPICAL STEADY
Length of your longer sentences (80th percentile) 12 - 34 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 4 - 14 TYPICAL STEADY
Overall sentence complexity 12 - 59 TYPICAL STEADY
Percentage of sentences over 20 words 25% TYPICAL VARIES
Typical sentence length (median) 9 - 20 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 3.1 TYPICAL VARIES
Variation in sentence lengths 3 - 13 TYPICAL STEADY
Word count of shortest sentence 2 - 11 TYPICAL STEADY
Word count of the longest sentence 13 - 38 TYPICAL STEADY

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