Sourav kumar's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 40 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

Total number of hashtags
signature ↓ faded
17x more
See example from 21 Aug 2023
Proportion of hashtags woven into the text
signature ↓ faded
16x more
Count of positive/celebratory emoji
signature ↓ declining
15x more
Hashtag density per 100 words
signature ↓ faded
8x more
See example from 21 Aug 2023
Whether CTAs include emoji
signature
10x more
Proportion of all-lowercase hashtags
signature ↓ faded
4x more
Percentage of emoji that are positive/celebratory
signature ↓ declining
11x more
See example from 10 Mar 2025

Does Less Of...

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

Whether the post contains quotations
consistent
rarely
Usage of 'of' per 1000 words
consistent
rarely
Whether the post tells a story
consistent
rarely
Whether the ending has a call-to-action
consistent
rarely
Average words per line
consistent
3x less
Closing length relative to total post
2x less
Overall grammatical word usage
consistent
2x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but you use hashtags 17 times more than the average LinkedIn poster - and you’re not just tacking them on at the end. You weave them right into your sentences 16x more often than most, letting hashtags and text blend together until it’s hard to tell where commentary ends and tagging begins.

Why does this work? It signals a kind of relentless topicality - you’re making every line a billboard, every phrase a search beacon. Now try briefing this to a ghostwriter. Tell them to insert hashtags 16x more often, but actually embed them in the flow, not just at the end. They’d look at you like you’re nuts. This isn’t something you learned - it’s pure writing muscle memory. You probably couldn’t turn it off if you tried.

And with your posting frequency - just 0.2 posts a week, less than once weekly - you’re not exactly flooding the feed. 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 (Jul 2022 - Nov 2025)

Recent 3 posts since Dec 2023
vs
Earlier 39 posts before Dec 2023
Hashtag usage Stopped (was 87%, now rarely)
Stopped
Emoji usage Declining (90% → 33%)
Less

Style patterns based on 42 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

05 Jul 2022 - 01 Nov 2025

0.2 posts/week avg
13/174 active weeks
161 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
Whether CTAs include emoji 82% of posts HIGH STEADY
Whether any call-to-action exists 92% of posts HIGH STEADY
CTAs phrased as questions vs statements 3% LOW VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 0% LOW STEADY
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 Near top TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 38% HIGH VARIES
Balance between positive and negative emoji 52% HIGH STEADY
Count of neutral/functional emoji 0.9 - 2.2 HIGH STEADY
Count of positive/celebratory emoji 1.1 - 2.5 HIGH STEADY
Emoji count per 1000 words 0 - 125 HIGH VARIES
Emoji count relative to sentence count 66% HIGH STEADY
Emoji density in CTA sections 0 - 114 HIGH VARIES
Emoji density in the hook section 0 - 132 HIGH VARIES
Emoji usage in the middle section of the post 9 - 36 HIGH STEADY
Emoji used to replace words entirely 20% HIGH VARIES
How consistently emoji pair with specific words 3% HIGH VARIES
Number of different emoji types used 1.6 - 4.3 HIGH STEADY
Number of emoji in the opening hook 0.2 - 3.1 HIGH STEADY
Percentage of emoji that are neutral/functional 48% HIGH STEADY
Percentage of emoji that are positive/celebratory 52% HIGH STEADY
Percentage of lines containing at least one emoji 25% HIGH STEADY
Proportion of emoji that appear multiple times 3% HIGH VARIES
Total number of emoji in the post 1.7 - 4.4 HIGH STEADY
Variety of different emoji used (unique/total ratio) 87% HIGH STEADY
Whether any emoji are used in the post 90% of posts HIGH STEADY
Average distance between repeated emoji 0% LOW STEADY
Count of negative/warning emoji ~0.0 LOW STEADY
How consistently the same emoji is used for bullets 0% LOW STEADY
How often the same emoji repeats across the post 2% LOW VARIES
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
Total count of repeated emoji across the post 0.0 - 0.3 LOW VARIES
Variety of different emoji used as bullets 0% LOW STEADY
Whether emoji are used as bullet point markers 0% LOW STEADY
Average number of emoji appearing together in clusters 8% TYPICAL VARIES
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Largest group of adjacent emoji 8% TYPICAL VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.2 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
Whether the post starts with an emoji 3% TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 0% LOW STEADY
Count of positive contractions used 0% LOW STEADY
Number of different contraction types 0% LOW STEADY
Percentage of words that are contractions 0% LOW STEADY
Ratio of negative to positive contractions balanced LOW STEADY
Total number of contractions 0% LOW STEADY
Usage of negative contractions (don't, won't, can't) 0% LOW STEADY
Usage of positive contractions (it's, I'm, we're) 0% LOW STEADY
Variety of different contractions used 0% LOW STEADY
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'at' per 1000 words 8 - 23 HIGH STEADY
Usage of 'with' per 1000 words 7 - 23 HIGH STEADY
Overall grammatical word usage 44 - 122 LOW STEADY
Usage of 'a' per 1000 words 5 - 22 LOW STEADY
Usage of 'and' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'as' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'because' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'but' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'by' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'if' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'is' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'of' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'on' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'so' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'that' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'the' per 1000 words 6 - 23 LOW STEADY
Usage of 'to' per 1000 words 4-14 per 1k words LOW STEADY
Usage of 'which' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'who' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'for' per 1000 words 7 - 24 TYPICAL STEADY
Variety of function words used 27% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 10 - 13 HIGH STEADY
Hashtag density per 100 words 13 - 40 HIGH STEADY
Proportion of all-lowercase hashtags 99% HIGH STEADY
Proportion of hashtags placed at the end 39% HIGH STEADY
Proportion of hashtags woven into the text 61% HIGH STEADY
Total number of hashtags 12 - 46 HIGH STEADY
Whether any hashtags are used 85% of posts HIGH STEADY
Proportion of hashtags in ALL CAPS 0% LOW STEADY
Proportion of hashtags in the opening 0% LOW STEADY
Proportion of hashtags using CamelCase 1% LOW VARIES
Ratio of inline hashtags to end hashtags 2% LOW STEADY
Whether the opening line contains a hashtag 0% LOW STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 2.9 HIGH STEADY
Use of 'you/your' in the hook 7% HIGH STEADY
Whether the hook contains a question 55% of posts HIGH STEADY
Whether the hook contains emoji 55% of posts HIGH STEADY
Whether there's a blank line after the hook 45% HIGH VARIES
Whether there's a clear opening hook section 80% of posts HIGH STEADY
ALL CAPS words in the hook 1% LOW VARIES
Hook length relative to total post 34% LOW STEADY
Hook lines relative to total lines 32% LOW STEADY
Negation words in the hook ~0.0 LOW STEADY
Where LinkedIn's 'see more' cuts off 34% LOW STEADY
Whether the hook starts with a conjunction 0% LOW STEADY
Character count of the hook 43 - 345 TYPICAL STEADY
Character position where the hook ends 43 - 345 TYPICAL STEADY
Line Structure
18
Feature Your DNA vs Others Consistency
Average lines per text block 1.4 - 3.9 HIGH STEADY
Average spacing between blank lines 0.7 - 4.6 HIGH STEADY
Lines containing exactly one sentence 83% HIGH STEADY
Percentage of single-word lines 20% HIGH STEADY
Percentage of very short lines (<5 words) 48% HIGH STEADY
Predictability of line length pattern Very consistent HIGH STEADY
Variation in block sizes 0.0 - 4.1 HIGH VARIES
Average characters per line 46 - 89 LOW STEADY
Average words per line 6 - 11 LOW STEADY
Ratio of lines starting with ALL CAPS 1% LOW STEADY
Ratio of lines starting with numbers 1% LOW STEADY
Ratio of lines starting with punctuation 1% LOW VARIES
Ratio of lines starting with quotes 0% LOW STEADY
Variation in line lengths 36 - 183 LOW STEADY
Blank lines per 100 total lines 8 - 36 TYPICAL STEADY
Number of visual text blocks 1.8 - 7.6 TYPICAL STEADY
Proportion of blank space 22% TYPICAL STEADY
Spacing between content-rich lines 0.8 - 1.7 TYPICAL STEADY
List Patterns
15
Feature Your DNA vs Others Consistency
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
Variety of emoji used as bullets 0% LOW STEADY
Whether any list structure is used 2% 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
Average items per emoji list 15% TYPICAL VARIES
Number of emoji bullet list sections 0.0 - 0.4 TYPICAL VARIES
Whether emoji bullet lists are used 2% of posts TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
How often three-word phrases repeat 0 - 11 HIGH VARIES
Length of longest repeated phrase 0.0 - 5.7 HIGH VARIES
Ratio of meaningful words to grammatical words 10% HIGH STEADY
Common idioms and expressions per 1000 words 0% LOW STEADY
Count of idiomatic expressions ~0.0 LOW STEADY
Count of words used only once 33 - 83 TYPICAL STEADY
How often two-word phrases repeat 0 - 13 TYPICAL VARIES
Number of unique words used 43 - 103 TYPICAL STEADY
Percentage of words used only once 82% TYPICAL STEADY
Unique words divided by total words 81% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with pronouns 1.0-3.0 per post HIGH STEADY
Sentences starting with pronouns (I, You, We, They) (%) 18 - 50 HIGH STEADY
Count of sentences starting with There is/It is ~0.0 per post LOW STEADY
Count of sentences starting with adverbs ~0.0 per post LOW STEADY
Count of sentences starting with conjunctions ~0.0 per post LOW STEADY
Count of sentences starting with time words ~0.0 per post LOW STEADY
Sentences starting with 'There is/are' or 'It is' (%) 0% LOW STEADY
Sentences starting with -ing verbs (%) 1% LOW VARIES
Sentences starting with And, But, Or, So (%) 0% LOW STEADY
Sentences starting with adverbs (%) 0% LOW STEADY
Sentences starting with time words (%) 0% LOW STEADY
Count of sentences starting with -ing verbs 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 subordinate clauses ~0.0 per post TYPICAL STEADY
Sentences starting with Actually, Basically, etc. (%) 0% TYPICAL STEADY
Sentences starting with subordinate clauses (%) 0% TYPICAL STEADY
Closing Patterns
11
Feature Your DNA vs Others Consistency
Whether the ending includes hashtags 85% of posts HIGH STEADY
ALL CAPS words in the closing 0% LOW STEADY
Character length of the closing 0 - 321 LOW VARIES
Closing length relative to total post 30% LOW VARIES
Number of emoji in the closing 0.0 - 0.7 LOW VARIES
Whether the closing has a signature phrase 0% of posts LOW STEADY
Whether the ending has a call-to-action 0% of posts LOW STEADY
Whether the ending includes emoji 8% of posts LOW VARIES
Whether the ending is a question 2% LOW VARIES
Whether the closing has emoji clusters 2% TYPICAL VARIES
Whether there's a clear closing section 92% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Average change in length between paragraphs 0.3 - 2.8 HIGH STEADY
How much paragraph length varies 0.0 - 6.1 HIGH VARIES
Opening paragraph length vs body average 2% HIGH STEADY
Variation in length changes between paragraphs 0.0 - 4.1 HIGH VARIES
Average sentences per paragraph 1.3 - 2.8 TYPICAL STEADY
Average sentences per paragraph 1.3 - 2.8 TYPICAL STEADY
Closing paragraph length vs body average 52% TYPICAL STEADY
Consecutive long paragraphs 15% TYPICAL VARIES
Consecutive short paragraphs 0.7 - 5.7 TYPICAL STEADY
How frequently new paragraphs start 0 - 166 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.9 - 4.6 TYPICAL STEADY
Total number of paragraphs 2.0 - 7.6 TYPICAL STEADY
Typical paragraph length (median) 0.8 - 2.9 TYPICAL STEADY
Parts of Speech
9
Feature Your DNA vs Others Consistency
Percentage of words that are nouns 25 - 55 HIGH STEADY
Percentage of words that are adverbs 2% LOW STEADY
Percentage of words that are determiners 3% LOW STEADY
Percentage of words that are prepositions 5% LOW STEADY
Percentage of words that are verbs 8% LOW STEADY
Balance/distribution of different word types Fairly consistent TYPICAL STEADY
Percentage of auxiliary/helper verbs 5% TYPICAL STEADY
Percentage of words that are adjectives 7% TYPICAL VARIES
Percentage of words that are pronouns 9% TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Count of complex words (3+ syllables) 16 - 48 HIGH STEADY
Percentage of complex words (3+ syllables) 21 - 40 HIGH STEADY
Total syllables in the post 117 - 316 HIGH STEADY
How easy the text is to read (higher = easier) 0 - 41 LOW VARIES
Average word complexity (syllables per word) 1.8 - 2.6 TYPICAL STEADY
Total sentence count 3.5 - 7.0 TYPICAL STEADY
Total word count of the post 54 - 133 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Colon usage per 1000 words 12-72 per 1k words HIGH STEADY
Percentage of sentences ending with a question 7 - 28 HIGH STEADY
Question marks per 1000 words 0-34 per 1k words HIGH VARIES
Semicolon usage per 1000 words 0-3 per 1k words HIGH VARIES
Comma usage per 1000 words 0-35 per 1k words LOW VARIES
Ellipsis (...) usage per 1000 words ~0 per 1k words LOW STEADY
Em dash (—) usage per 1000 words ~0 per 1k words LOW STEADY
En dash (–) usage per 1000 words ~0 per 1k words LOW STEADY
Exclamation marks per 1000 words 0-5 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
Parentheses usage per 1000 words 0-1 per 1k words LOW VARIES
Percentage of sentences ending with exclamation 2% LOW VARIES
Percentage of sentences trailing off with ellipsis 0% LOW STEADY
Quotation mark usage per 1000 words ~0 per 1k words LOW STEADY
Hyphen usage per 1000 words 0-48 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0% LOW STEADY
Lines starting with quotation marks 0% LOW STEADY
Lines using past tense 2% LOW VARIES
Number of narrative/story signals 0.4 - 1.2 LOW STEADY
Number of quotation blocks ~0.0 LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Total characters in quoted content 0% LOW STEADY
Whether the post contains quotations 0% of posts LOW STEADY
Whether the post tells a story 0% of posts LOW STEADY
Use of story transitions 7% TYPICAL STEADY
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
How much sentence length varies (normalized) 87% HIGH STEADY
Variation in clause count across sentences 1.7 - 5.2 HIGH STEADY
Variation in sentence lengths 8 - 24 HIGH STEADY
Word count of the longest sentence 25 - 67 HIGH STEADY
Parenthetical breaks per 1000 words 0-1 per 1k words LOW VARIES
Average number of clauses per sentence 1.6 - 2.6 TYPICAL STEADY
Average number of words per sentence 11 - 22 TYPICAL STEADY
Average words per sentence 11 - 22 TYPICAL STEADY
How often paragraphs contain just one sentence 60% TYPICAL STEADY
Length of your longer sentences (80th percentile) 7 - 31 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 4.8 - 9.1 TYPICAL STEADY
Overall sentence complexity 19 - 56 TYPICAL STEADY
Percentage of sentences over 20 words 23% TYPICAL STEADY
Percentage of sentences under 8 words 36% TYPICAL STEADY
Typical sentence length (median) 7 - 14 TYPICAL STEADY
Word count of shortest sentence 4.8 - 8.9 TYPICAL STEADY

Let's turn your leadership into lead magnets

Create, personalise and orchestrate professional social content across your whole team - in THEIR voice, on YOUR message, at ANY scale.

Book a Demo