Bi P Solutions's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 19 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
signature
13x more
See example from 27 Nov 2025
Balance between positive and negative emoji
signature
14x more
How often the same emoji repeats across the post
signature
13x more
Proportion of hashtags placed at the end
consistent
4x more
Whether the post starts with an emoji
distinctive
14x more
See example from 27 Nov 2025
Length of your longer sentences (80th percentile)
consistent
1.7x more
Average number of words per sentence
consistent
1.6x more

Does Less Of...

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

Whether the opening line contains a hashtag
consistent
rarely
Proportion of hashtags in the opening
consistent
rarely
Typical paragraph length (median)
consistent
1.6x less
Length of your longer paragraphs (80th percentile)
consistent
1.5x less
Average sentences per paragraph
consistent
1.5x less
Average sentences per paragraph
consistent
1.5x less
Unique words divided by total words
consistent
1.1x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but you start your LinkedIn posts with an emoji 14 times more often than the average user. Not just that - you repeat the same positive or celebratory emoji across your posts 13 times more than others, making your feed feel instantly upbeat and unmistakably "yours." It isn’t just emoji spam, either: the balance between positive and negative emoji in your posts is 14x higher than the norm. That’s not normal - it’s a signature.

This works because your audience senses a mood before they even read a word. It signals optimism, consistency, and approachability in a way no headline ever could. Now try briefing this to a ghostwriter: "Start every post with the same positive emoji, but make it feel spontaneous, not robotic. Repeat it enough to build a pattern, but never cross the line into clichĂ©." They’d blink twice - because you’re not following rules, you’re following instinct. You couldn’t reverse-engineer this if you tried.

You post just 0.4 times per week - less than once weekly - but the style is instantly recognizable. 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.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

12 Sep 2024 - 09 Sep 2025

0.4 posts/week avg
15/53 active weeks
38 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 using command verbs (Click, Share, Comment, etc.) 0% LOW STEADY
Whether CTAs include emoji 0% of posts LOW STEADY
Whether CTAs include hashtags 0% of posts LOW STEADY
Whether any call-to-action exists 21% of posts LOW VARIES
CTAs phrased as questions vs statements 5% TYPICAL VARIES
Whether CTAs are concentrated at the end of the post 5% TYPICAL VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 20% HIGH VARIES
Average emoji per line of text 35% HIGH STEADY
Balance between positive and negative emoji 60% HIGH STEADY
Count of neutral/functional emoji 0.0 - 2.1 HIGH VARIES
Count of positive/celebratory emoji 0.0 - 2.0 HIGH STEADY
Emoji count relative to sentence count 45% HIGH STEADY
Emoji density in the hook section 0 - 45 HIGH VARIES
Emoji usage in the middle section of the post 0 - 43 HIGH VARIES
How consistently the same emoji is used for bullets 20% HIGH VARIES
How often the same emoji repeats across the post 33% HIGH STEADY
Number of bullet point lines using emoji as markers 0.0 - 1.9 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 0.9 HIGH VARIES
Number of emoji in the opening hook 0.0 - 1.9 HIGH VARIES
Percentage of emoji that are neutral/functional 40% HIGH VARIES
Percentage of emoji that are positive/celebratory 60% HIGH STEADY
Percentage of lines containing at least one emoji 23% HIGH STEADY
Total count of repeated emoji across the post 0.0 - 1.6 HIGH VARIES
Variety of different emoji used as bullets 7% HIGH VARIES
Whether emoji are used as bullet point markers 20% HIGH VARIES
Whether the post starts with an emoji 40% HIGH VARIES
Average number of emoji appearing together in clusters 0% LOW STEADY
Count of negative/warning emoji ~0.0 LOW STEADY
Emoji used to replace words entirely 0% LOW STEADY
How consistently emoji pair with specific words 0% LOW STEADY
Largest group of adjacent emoji 0% LOW STEADY
Number of different emoji types used 0.0 - 0.7 LOW VARIES
Number of emoji clusters (groups of adjacent emoji) ~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
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 6% TYPICAL VARIES
Emoji density in CTA sections 0 - 33 TYPICAL VARIES
Total number of emoji in the post 0.0 - 1.4 TYPICAL VARIES
Variety of different emoji used (unique/total ratio) 18% TYPICAL VARIES
Whether any emoji are used in the post 26% of posts TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 0% LOW STEADY
Count of positive contractions used 21% LOW VARIES
Number of different contraction types 21% LOW VARIES
Percentage of words that are contractions 26% LOW VARIES
Ratio of negative to positive contractions balanced LOW STEADY
Total number of contractions 21% LOW VARIES
Usage of negative contractions (don't, won't, can't) 0% LOW STEADY
Usage of positive contractions (it's, I'm, we're) 26% LOW VARIES
Variety of different contractions used 10% LOW VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'the' per 1000 words 26 - 71 HIGH STEADY
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'is' per 1000 words 0-14 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 166 - 273 TYPICAL STEADY
Usage of 'a' per 1000 words 3 - 30 TYPICAL STEADY
Usage of 'and' per 1000 words 12 - 56 TYPICAL STEADY
Usage of 'as' per 1000 words 0-14 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-17 per 1k words TYPICAL VARIES
Usage of 'but' per 1000 words 0-10 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-6 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 31 TYPICAL VARIES
Usage of 'if' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 1 - 26 TYPICAL STEADY
Usage of 'on' per 1000 words 0 - 26 TYPICAL VARIES
Usage of 'so' per 1000 words 0-8 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-17 per 1k words TYPICAL VARIES
Usage of 'to' per 1000 words 14 - 55 TYPICAL STEADY
Usage of 'with' per 1000 words 0 - 25 TYPICAL VARIES
Variety of function words used 45% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 8 - 13 HIGH STEADY
Proportion of all-lowercase hashtags 43% HIGH VARIES
Proportion of hashtags placed at the end 86% HIGH STEADY
Proportion of hashtags using CamelCase 57% HIGH STEADY
Proportion of hashtags woven into the text 14% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 282 HIGH VARIES
Hashtag density per 100 words 0.0 - 4.8 LOW VARIES
Proportion of hashtags in ALL CAPS 0% LOW STEADY
Proportion of hashtags in the opening 0% LOW STEADY
Whether the opening line contains a hashtag 0% LOW STEADY
Total number of hashtags 0.0 - 4.6 TYPICAL VARIES
Whether any hashtags are used 37% of posts TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Whether the hook starts with a conjunction 5% HIGH VARIES
Negation words in the hook 0.0 - 0.3 LOW VARIES
Use of 'you/your' in the hook 1% LOW VARIES
Whether the hook contains a question 5% of posts LOW VARIES
ALL CAPS words in the hook 2% TYPICAL STEADY
Character count of the hook 208 - 443 TYPICAL STEADY
Character position where the hook ends 208 - 443 TYPICAL STEADY
Hook length relative to total post 67% TYPICAL STEADY
Hook lines relative to total lines 60% TYPICAL STEADY
Number of emoji in the hook 0.0 - 0.8 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 67% TYPICAL STEADY
Whether the hook contains emoji 10% of posts TYPICAL VARIES
Whether there's a blank line after the hook 26% TYPICAL VARIES
Whether there's a clear opening hook section 32% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Blank lines per 100 total lines 26 - 46 HIGH STEADY
Proportion of blank space 36% HIGH STEADY
Spacing between content-rich lines 1.3 - 2.3 HIGH STEADY
Percentage of single-word lines 0% LOW STEADY
Percentage of very short lines (<5 words) 8% LOW VARIES
Ratio of lines starting with ALL CAPS 0% LOW STEADY
Ratio of lines starting with quotes 0% LOW STEADY
Variation in block sizes 28% LOW VARIES
Average characters per line 101 - 183 TYPICAL STEADY
Average lines per text block 0.9 - 1.3 TYPICAL STEADY
Average spacing between blank lines 0.4 - 2.6 TYPICAL STEADY
Average words per line 16 - 32 TYPICAL STEADY
Lines containing exactly one sentence 77% TYPICAL STEADY
Number of visual text blocks 1.3 - 6.8 TYPICAL STEADY
Predictability of line length pattern Very consistent TYPICAL STEADY
Ratio of lines starting with numbers 2% TYPICAL VARIES
Ratio of lines starting with punctuation 2% TYPICAL VARIES
Variation in line lengths 65 - 336 TYPICAL STEADY
List Patterns
15
Feature Your DNA vs Others Consistency
Consistency of numbered list formatting 5% HIGH VARIES
Nesting depth of numbered lists 26% HIGH VARIES
Use of inline enumeration 5% HIGH VARIES
Whether numbered lists are used 5% of posts HIGH VARIES
Average items per emoji list 0% LOW STEADY
Consistency of emoji bullet indentation 0% LOW STEADY
Number of emoji bullet 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 emoji bullet lists are used 0% of posts LOW STEADY
Average items per dash/bullet list 21% TYPICAL VARIES
Number of dash/bullet list sections 0.0 - 0.3 TYPICAL VARIES
Number of numbered list sections 0.0 - 0.3 TYPICAL VARIES
Whether any list structure is used 10% of posts TYPICAL VARIES
Whether dash/bullet lists are used 5% 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
Count of words used only once 30 - 86 TYPICAL STEADY
How often three-word phrases repeat 69% TYPICAL VARIES
How often two-word phrases repeat 0.0 - 7.1 TYPICAL STEADY
Length of longest repeated phrase 0.2 - 3.3 TYPICAL STEADY
Number of unique words used 34 - 111 TYPICAL STEADY
Percentage of words used only once 81% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% TYPICAL STEADY
Unique words divided by total words 77% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with -ing verbs 0.0-0.5 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 And, But, Or, So (%) 2% HIGH VARIES
Sentences starting with subordinate clauses (%) 6% HIGH VARIES
Sentences starting with time words (%) 6% HIGH VARIES
Count of sentences starting with There is/It is ~0.0 per post LOW STEADY
Count of sentences starting with adverbs 0.0-0.3 per post LOW VARIES
Sentences starting with 'There is/are' or 'It is' (%) 0% LOW STEADY
Sentences starting with adverbs (%) 58% LOW VARIES
Count of sentences starting with conjunctions 0.0-0.3 per post TYPICAL VARIES
Count of sentences starting with discourse markers ~0.0 per post TYPICAL STEADY
Count of sentences starting with pronouns 0.0-1.8 per post TYPICAL VARIES
Sentences starting with -ing verbs (%) 3% TYPICAL VARIES
Sentences starting with Actually, Basically, etc. (%) 0% TYPICAL STEADY
Sentences starting with pronouns (I, You, We, They) (%) 0 - 43 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
ALL CAPS words in the closing 2% LOW STEADY
Whether the closing has a signature phrase 10% of posts LOW VARIES
Whether the closing has emoji clusters 0% LOW STEADY
Whether the ending has a call-to-action 16% of posts LOW VARIES
Character length of the closing 241 - 507 TYPICAL STEADY
Closing length relative to total post 77% TYPICAL STEADY
Number of emoji in the closing 0.0 - 0.8 TYPICAL VARIES
Whether the ending includes emoji 21% of posts TYPICAL VARIES
Whether the ending includes hashtags 37% of posts TYPICAL VARIES
Whether the ending is a question 10% TYPICAL VARIES
Whether there's a clear closing section 58% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 1% HIGH STEADY
Average change in length between paragraphs 46% LOW STEADY
Average sentences per paragraph 1.0 - 1.7 LOW STEADY
Average sentences per paragraph 1.0 - 1.7 LOW STEADY
Consecutive long paragraphs 0% LOW STEADY
How frequently new paragraphs start 24 - 61 LOW STEADY
How much paragraph length varies 36% LOW VARIES
Length of your longer paragraphs (80th percentile) 1.0 - 2.4 LOW STEADY
Typical paragraph length (median) 0.8 - 1.7 LOW STEADY
Variation in length changes between paragraphs 42% LOW VARIES
Consecutive short paragraphs 0.9 - 6.2 TYPICAL STEADY
Opening paragraph length vs body average 79% TYPICAL STEADY
Total number of paragraphs 1.3 - 6.8 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 5% TYPICAL STEADY
Percentage of words that are adjectives 5% TYPICAL STEADY
Percentage of words that are adverbs 5% TYPICAL STEADY
Percentage of words that are determiners 8% TYPICAL STEADY
Percentage of words that are nouns 13 - 25 TYPICAL STEADY
Percentage of words that are prepositions 9 - 14 TYPICAL STEADY
Percentage of words that are pronouns 6% TYPICAL STEADY
Percentage of words that are verbs 10% 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 - 36 TYPICAL VARIES
How easy the text is to read (higher = easier) 35 - 57 TYPICAL STEADY
Percentage of complex words (3+ syllables) 11 - 22 TYPICAL STEADY
Total sentence count 1.4 - 7.8 TYPICAL STEADY
Total syllables in the post 44 - 291 TYPICAL STEADY
Total word count of the post 34 - 168 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
En dash (–) usage per 1000 words 0-5 per 1k words HIGH VARIES
Mixed punctuation clusters per 1000 words 0-3 per 1k words HIGH VARIES
Colon usage per 1000 words 0-5 per 1k words LOW VARIES
Exclamation marks per 1000 words 0-18 per 1k words LOW VARIES
Hyphen usage per 1000 words 0-18 per 1k words LOW VARIES
Multiple exclamation marks per 1000 words ~0 per 1k words LOW STEADY
Multiple question marks per 1000 words ~0 per 1k words LOW STEADY
Parentheses usage per 1000 words 0-3 per 1k words LOW VARIES
Percentage of sentences ending with a question 2% LOW VARIES
Question marks per 1000 words 0-5 per 1k words LOW VARIES
Quotation mark usage per 1000 words 0-4 per 1k words LOW VARIES
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Comma usage per 1000 words 3-66 per 1k words TYPICAL STEADY
Ellipsis (...) usage per 1000 words 0-10 per 1k words TYPICAL VARIES
Em dash (—) usage per 1000 words 0-5 per 1k words TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 46 TYPICAL VARIES
Percentage of sentences trailing off with ellipsis 1% TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Use of story transitions 18% HIGH VARIES
Average length of quoted passages 0 - 59 LOW VARIES
Lines starting with quotation marks 0% LOW STEADY
Number of quotation blocks 0.0 - 0.5 LOW VARIES
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0 - 59 LOW VARIES
Whether the post contains quotations 16% of posts LOW VARIES
Lines using past tense 39% TYPICAL STEADY
Number of narrative/story signals 0.6 - 2.4 TYPICAL STEADY
Whether the post tells a story 53% of posts TYPICAL STEADY
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Average number of words per sentence 17 - 30 HIGH STEADY
Average words per sentence 17 - 30 HIGH STEADY
Length of your longer sentences (80th percentile) 27 - 48 HIGH STEADY
Length of your shorter sentences (20th percentile) 3 - 22 HIGH STEADY
Overall sentence complexity 23 - 110 HIGH STEADY
Percentage of sentences over 20 words 49% HIGH STEADY
Typical sentence length (median) 14 - 29 HIGH STEADY
Variation in sentence lengths 6 - 21 HIGH STEADY
Word count of shortest sentence 1 - 21 HIGH STEADY
Word count of the longest sentence 30 - 51 HIGH STEADY
Parenthetical breaks per 1000 words 0-8 per 1k words LOW VARIES
Percentage of sentences under 8 words 16% LOW VARIES
Average number of clauses per sentence 1.8 - 3.5 TYPICAL STEADY
How much sentence length varies (normalized) 61% TYPICAL STEADY
How often paragraphs contain just one sentence 70% TYPICAL STEADY
Variation in clause count across sentences 0.2 - 3.4 TYPICAL STEADY

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