Robin Blandford'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

Percentage of emoji that are neutral/functional
signature ↑ increasing
5x more
See example from 03 Dec 2025
Proportion of hashtags placed at the end
consistent
3x more
Average character length of hashtags
consistent
2x more
Percentage of lines containing at least one emoji
consistent ↑ increasing
3x more
Variety of different contractions used
3x more
Number of emoji in the opening hook
↑ increasing
4x more
Emoji used to replace words entirely
↑ increasing
8x more

Does Less Of...

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

Whether CTAs include hashtags
consistent
rarely
Average sentences per paragraph
consistent
1.4x less
Average sentences per paragraph
consistent
1.4x less
Average words per line
consistent
1.3x less
Typical paragraph length (median)
consistent
1.3x less
Average characters per line
consistent
1.3x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but you use neutral or functional emoji five times more than average - and you do it in 3x as many lines. While most people sprinkle emojis for flavor, you deploy them as tactical signposts, almost like punctuation. It’s a subtle language within the language, guiding readers without shouting for attention.

This works because it sets a rhythm and clarity that’s hard to fake. Readers instinctively know what to focus on, even if they can’t say why. Now try briefing this to a ghostwriter: “Hey, use a neutral emoji in one out of every three lines, make sure hashtags at the end are twice as long as normal, and never let a CTA include one.” They’d think you’ve lost the plot - because this isn’t a style guide, it’s your author DNA. You couldn’t replicate it yourself if you tried.

With just 0.2 posts per week, you’re barely making a ripple in the feed. But 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 (Oct 2023 - Jul 2025)

Recent 12 posts since Dec 2023
vs
Earlier 5 posts before Dec 2023
Emoji usage Increasing (20% → 33%)
More

Style patterns based on 17 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

11 Oct 2023 - 16 Jul 2025

0.2 posts/week avg
15/93 active weeks
78 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.) 18% HIGH VARIES
Whether CTAs are concentrated at the end of the post 0% LOW STEADY
Whether CTAs include hashtags 0% of posts LOW STEADY
Average position of CTAs in the post Upper half TYPICAL VARIES
CTAs phrased as questions vs statements 6% TYPICAL VARIES
Whether CTAs include emoji 12% of posts TYPICAL VARIES
Whether any call-to-action exists 71% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 29% HIGH STEADY
Balance between positive and negative emoji 18% HIGH VARIES
Count of neutral/functional emoji 0.0 - 3.0 HIGH VARIES
Count of positive/celebratory emoji 0.0 - 1.2 HIGH VARIES
Emoji count relative to sentence count 35% HIGH VARIES
Emoji density in CTA sections 0 - 67 HIGH VARIES
Emoji density in the hook section 5 - 36 HIGH STEADY
Emoji usage in the middle section of the post 7% HIGH VARIES
Emoji used to replace words entirely 29% HIGH VARIES
How consistently the same emoji is used for bullets 14% HIGH VARIES
How often the same emoji repeats across the post 10% HIGH VARIES
Number of bullet point lines using emoji as markers 0.0 - 2.6 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 0.8 HIGH VARIES
Number of emoji in the opening hook 0.4 - 1.6 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 0 - 52 HIGH VARIES
Percentage of emoji that are neutral/functional 82% HIGH STEADY
Percentage of emoji that are positive/celebratory 18% HIGH VARIES
Percentage of lines containing at least one emoji 28% HIGH STEADY
Total count of repeated emoji across the post 0.0 - 2.6 HIGH VARIES
Variety of different emoji used (unique/total ratio) 37% HIGH VARIES
Variety of different emoji used as bullets 3% HIGH VARIES
Whether any emoji are used in the post 41% of posts HIGH VARIES
Whether emoji are used as bullet point markers 14% HIGH VARIES
Whether the post starts with an emoji 29% HIGH VARIES
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
How consistently emoji pair with specific words 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 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
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Emoji count per 1000 words 8% TYPICAL VARIES
Number of different emoji types used 0.0 - 1.1 TYPICAL VARIES
Total number of emoji in the post 0.0 - 2.4 TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of positive contractions used 0.0 - 3.6 HIGH VARIES
Number of different contraction types 0.0 - 3.5 HIGH VARIES
Percentage of words that are contractions 2% HIGH STEADY
Ratio of negative to positive contractions 59:1 HIGH VARIES
Total number of contractions 0.0 - 4.1 HIGH VARIES
Usage of negative contractions (don't, won't, can't) 30% HIGH VARIES
Usage of positive contractions (it's, I'm, we're) 2% HIGH STEADY
Variety of different contractions used 72% HIGH STEADY
Count of negative contractions used 24% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'if' per 1000 words 0-14 per 1k words HIGH VARIES
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'but' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'by' per 1000 words 0-3 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-8 per 1k words LOW VARIES
Usage of 'of' per 1000 words 0-18 per 1k words LOW VARIES
Usage of 'the' per 1000 words 0 - 45 LOW VARIES
Usage of 'which' per 1000 words 0-2 per 1k words LOW VARIES
Overall grammatical word usage 109 - 255 TYPICAL STEADY
Usage of 'a' per 1000 words 4 - 53 TYPICAL STEADY
Usage of 'and' per 1000 words 1 - 54 TYPICAL STEADY
Usage of 'as' per 1000 words 0-10 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 - 50 TYPICAL VARIES
Usage of 'on' per 1000 words 0 - 28 TYPICAL VARIES
Usage of 'so' per 1000 words 0-5 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-20 per 1k words TYPICAL VARIES
Usage of 'to' per 1000 words 2 - 62 TYPICAL STEADY
Usage of 'who' per 1000 words 0-13 per 1k words TYPICAL VARIES
Usage of 'with' per 1000 words 0-21 per 1k words TYPICAL VARIES
Variety of function words used 35% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 7 - 14 HIGH STEADY
Hashtag density per 100 words 0 - 16 HIGH VARIES
Proportion of hashtags in ALL CAPS 17% HIGH VARIES
Proportion of hashtags placed at the end 74% HIGH STEADY
Proportion of hashtags using CamelCase 48% HIGH STEADY
Proportion of hashtags woven into the text 15% HIGH VARIES
Total number of hashtags 0.0 - 6.3 HIGH VARIES
Proportion of hashtags in the opening 11% LOW VARIES
Ratio of inline hashtags to end hashtags 16% LOW VARIES
Whether the opening line contains a hashtag 11% LOW VARIES
Proportion of all-lowercase hashtags 35% TYPICAL VARIES
Whether any hashtags are used 53% of posts TYPICAL STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 1.0 HIGH VARIES
Use of 'you/your' in the hook 4% HIGH VARIES
Whether the hook contains emoji 29% of posts HIGH VARIES
ALL CAPS words in the hook 2% LOW VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
Whether there's a blank line after the hook 12% LOW VARIES
Character count of the hook 145 - 325 TYPICAL STEADY
Character position where the hook ends 145 - 325 TYPICAL STEADY
Hook length relative to total post 74% TYPICAL STEADY
Hook lines relative to total lines 69% TYPICAL STEADY
Negation words in the hook 0.0 - 0.6 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 74% TYPICAL STEADY
Whether the hook contains a question 12% of posts TYPICAL VARIES
Whether there's a clear opening hook section 24% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Blank lines per 100 total lines 16 - 49 HIGH STEADY
Predictability of line length pattern Very consistent HIGH STEADY
Proportion of blank space 33% HIGH STEADY
Ratio of lines starting with quotes 2% HIGH VARIES
Percentage of single-word lines 0% LOW STEADY
Ratio of lines starting with ALL CAPS 0% LOW STEADY
Ratio of lines starting with numbers 0% LOW STEADY
Variation in block sizes 27% LOW VARIES
Average characters per line 72 - 142 TYPICAL STEADY
Average lines per text block 0.8 - 1.5 TYPICAL STEADY
Average spacing between blank lines 0.5 - 2.6 TYPICAL STEADY
Average words per line 11 - 23 TYPICAL STEADY
Lines containing exactly one sentence 60% TYPICAL STEADY
Number of visual text blocks 1.3 - 6.0 TYPICAL STEADY
Percentage of very short lines (<5 words) 11% TYPICAL VARIES
Ratio of lines starting with punctuation 2% TYPICAL VARIES
Spacing between content-rich lines 1.0 - 2.3 TYPICAL STEADY
Variation in line lengths 0 - 353 TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per emoji list 29% HIGH VARIES
Variety of emoji used as bullets 1% HIGH VARIES
Whether emoji bullet lists are used 6% of posts HIGH VARIES
Average items per dash/bullet 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 numbered list sections ~0.0 LOW STEADY
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Use of inline enumeration 0% LOW STEADY
Whether any list structure is used 6% of posts LOW VARIES
Whether dash/bullet lists are used 0% of posts LOW STEADY
Whether numbered lists are used 0% of posts LOW STEADY
Number of emoji bullet list sections 0.0 - 0.3 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 22% LOW VARIES
How often two-word phrases repeat 0.0 - 5.2 LOW VARIES
Count of words used only once 9 - 87 TYPICAL STEADY
Length of longest repeated phrase 0.0 - 2.3 TYPICAL VARIES
Number of unique words used 5 - 112 TYPICAL STEADY
Percentage of words used only once 85% TYPICAL STEADY
Ratio of meaningful words to grammatical words 7% TYPICAL STEADY
Unique words divided by total words 83% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with adverbs 0.0-0.9 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 0.0-3.2 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-1.2 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.3 per post HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 24% HIGH VARIES
Sentences starting with adverbs (%) 5% HIGH VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 53 HIGH VARIES
Sentences starting with subordinate clauses (%) 5% HIGH VARIES
Count of sentences starting with There is/It is ~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 (%) 24% LOW VARIES
Sentences starting with time words (%) 24% LOW VARIES
Count of sentences starting with -ing verbs 0.0-0.5 per post TYPICAL VARIES
Count of sentences starting with conjunctions 0.0-0.3 per post TYPICAL VARIES
Sentences starting with -ing verbs (%) 4% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
ALL CAPS words in the closing 2% LOW VARIES
Whether the closing has a signature phrase 6% of posts LOW VARIES
Whether the closing has emoji clusters 0% LOW STEADY
Character length of the closing 142 - 444 TYPICAL STEADY
Closing length relative to total post 80% TYPICAL STEADY
Number of emoji in the closing 0.0 - 0.6 TYPICAL VARIES
Whether the ending has a call-to-action 29% of posts TYPICAL VARIES
Whether the ending includes emoji 18% of posts TYPICAL VARIES
Whether the ending includes hashtags 53% of posts TYPICAL STEADY
Whether the ending is a question 18% TYPICAL VARIES
Whether there's a clear closing section 76% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 86% HIGH STEADY
Opening paragraph length vs body average 1% HIGH STEADY
Consecutive long paragraphs 6% LOW VARIES
How much paragraph length varies 57% LOW VARIES
Variation in length changes between paragraphs 20% LOW VARIES
Average change in length between paragraphs 80% TYPICAL STEADY
Average sentences per paragraph 1.1 - 2.0 TYPICAL STEADY
Average sentences per paragraph 1.1 - 2.0 TYPICAL STEADY
Consecutive short paragraphs 1.5 - 4.5 TYPICAL STEADY
How frequently new paragraphs start 35 - 86 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.2 - 3.0 TYPICAL STEADY
Total number of paragraphs 1.4 - 6.0 TYPICAL STEADY
Typical paragraph length (median) 1.0 - 2.0 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 6% TYPICAL STEADY
Percentage of words that are adjectives 9% TYPICAL STEADY
Percentage of words that are adverbs 3% TYPICAL STEADY
Percentage of words that are determiners 7% TYPICAL STEADY
Percentage of words that are nouns 10 - 27 TYPICAL STEADY
Percentage of words that are prepositions 7 - 15 TYPICAL STEADY
Percentage of words that are pronouns 10% TYPICAL STEADY
Percentage of words that are verbs 10 - 16 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.5 - 1.8 TYPICAL STEADY
Count of complex words (3+ syllables) 0 - 26 TYPICAL VARIES
How easy the text is to read (higher = easier) 39 - 69 TYPICAL STEADY
Percentage of complex words (3+ syllables) 12 - 23 TYPICAL STEADY
Total sentence count 0 - 11 TYPICAL STEADY
Total syllables in the post 0 - 271 TYPICAL VARIES
Total word count of the post 0 - 174 TYPICAL VARIES
Punctuation Style
17
Feature Your DNA vs Others Consistency
Exclamation marks per 1000 words 0-69 per 1k words HIGH VARIES
Hyphen usage per 1000 words 2-56 per 1k words HIGH STEADY
Percentage of sentences ending with exclamation 2 - 68 HIGH STEADY
Percentage of sentences trailing off with ellipsis 2% HIGH VARIES
Semicolon usage per 1000 words 0-7 per 1k words HIGH VARIES
Colon usage per 1000 words 0-24 per 1k words LOW VARIES
Em dash (—) usage per 1000 words 0-1 per 1k words LOW VARIES
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 ending with a question 3% LOW VARIES
Question marks per 1000 words 0-12 per 1k words LOW VARIES
Quotation mark usage per 1000 words ~0 per 1k words LOW STEADY
Comma usage per 1000 words 1-45 per 1k words TYPICAL STEADY
Ellipsis (...) usage per 1000 words 0-9 per 1k words TYPICAL VARIES
Parentheses usage per 1000 words 0-13 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Lines starting with quotation marks 2% HIGH VARIES
Number of quotation blocks 0.3 - 2.1 HIGH STEADY
Presence of dialogue attribution patterns 2% HIGH VARIES
Whether the post contains quotations 76% of posts HIGH STEADY
Average length of quoted passages 0 - 82 TYPICAL VARIES
Lines using past tense 45% TYPICAL STEADY
Number of narrative/story signals 0.7 - 2.9 TYPICAL STEADY
Total characters in quoted content 0 - 137 TYPICAL VARIES
Use of story transitions 11% TYPICAL VARIES
Whether the post tells a story 47% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Percentage of sentences under 8 words 21% LOW STEADY
Average number of clauses per sentence 1.3 - 2.7 TYPICAL STEADY
Average number of words per sentence 8 - 21 TYPICAL STEADY
Average words per sentence 8 - 21 TYPICAL STEADY
How much sentence length varies (normalized) 46% TYPICAL STEADY
How often paragraphs contain just one sentence 58% TYPICAL STEADY
Length of your longer sentences (80th percentile) 6 - 41 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 4 - 15 TYPICAL STEADY
Overall sentence complexity 4 - 59 TYPICAL STEADY
Parenthetical breaks per 1000 words 0-14 per 1k words TYPICAL VARIES
Percentage of sentences over 20 words 19% TYPICAL VARIES
Typical sentence length (median) 9 - 19 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 4.1 TYPICAL VARIES
Variation in sentence lengths 0 - 14 TYPICAL VARIES
Word count of shortest sentence 2 - 12 TYPICAL STEADY
Word count of the longest sentence 6 - 42 TYPICAL STEADY

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