Ricky Amalsadia's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 52 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
6x more
See example from 23 Sep 2025
Count of neutral/functional emoji
signature ↑ increasing
10x more
Percentage of lines containing at least one emoji
signature ↑ increasing
7x more
Emoji count relative to sentence count
signature ↑ increasing
9x more
Proportion of hashtags placed at the end
signature ↑ increasing
4x more
Number of emoji in the opening hook
↑ increasing
7x more
Average emoji per line of text
consistent ↑ increasing
5x more

Does Less Of...

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

Balance between positive and negative emoji
consistent ↑ increasing
rarely
Typical paragraph length (median)
1.4x less
Length of your longer paragraphs (80th percentile)
consistent
1.4x less
Average sentences per paragraph
consistent
1.4x less
Average sentences per paragraph
consistent
1.4x less
Average lines per text block
consistent
1.2x less
Percentage of words that are nouns
consistent
1.2x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but your posts are absolute emoji outliers: you use neutral or functional emoji 6x more often than the average LinkedIn writer, and 7x as many of your lines feature at least one emoji. In fact, your emoji-to-sentence ratio is a staggering 9x higher than most. It's not just that you use them - it's how you deploy them, almost surgically, swapping out warmth and sentiment for pure function.

This works because your readers don't have time for guesswork. Your emoji are signals, not decorations - they're arrows, bullets, checkmarks. Try telling a ghostwriter, "I need you to use neutral emoji 10x more than most people, but never for emotion - just for structure." They'd freeze. You can't brief this, you can't reverse-engineer it. It's not in the style guides - it's in your fingertips.

And you do this all while posting less than once a week, a deliberate drip rather than a flood. 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 (Jun 2019 - Mar 2024)

Recent 4 posts since Dec 2023
vs
Earlier 48 posts before Dec 2023
Hashtag usage Increasing (58% → 100%)
More
Opening hashtags Declining (6% → 0%)
Less
Emoji usage Increasing (21% → 75%)
More

Style patterns based on 52 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

04 Jun 2019 - 15 Mar 2024

0.2 posts/week avg
34/250 active weeks
216 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
Whether CTAs are concentrated at the end of the post 2% LOW VARIES
Whether CTAs include hashtags 6% of posts LOW VARIES
Average position of CTAs in the post Near top TYPICAL VARIES
CTAs phrased as questions vs statements 8% TYPICAL VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 9% TYPICAL VARIES
Whether CTAs include emoji 12% of posts TYPICAL VARIES
Whether any call-to-action exists 54% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 12% HIGH VARIES
Average emoji per line of text 60% HIGH STEADY
Average number of emoji appearing together in clusters 46% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.8 HIGH VARIES
Count of neutral/functional emoji 0.4 - 9.3 HIGH STEADY
Emoji count relative to sentence count 87% HIGH STEADY
Emoji density in CTA sections 0 - 131 HIGH VARIES
Emoji density in the hook section 0 - 120 HIGH VARIES
Emoji usage in the middle section of the post 0 - 92 HIGH VARIES
Emoji used to replace words entirely 20% HIGH VARIES
How consistently the same emoji is used for bullets 8% HIGH VARIES
How often the same emoji repeats across the post 10% HIGH VARIES
Largest group of adjacent emoji 46% HIGH VARIES
Number of bullet point lines using emoji as markers 0.0 - 2.1 HIGH VARIES
Number of different emoji types used 0.0 - 4.1 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.7 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 1.6 HIGH VARIES
Number of emoji in the opening hook 0.7 - 2.6 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 1% HIGH VARIES
Percentage of emoji that are negative/warning 2% HIGH VARIES
Percentage of emoji that are neutral/functional 96% HIGH STEADY
Percentage of lines containing at least one emoji 53% HIGH STEADY
Percentage of lines that contain only emoji 1% HIGH STEADY
Proportion of emoji appearing in clusters 10% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 2.5 HIGH VARIES
Total number of emoji in the post 0.0 - 4.6 HIGH VARIES
Whether emoji are used as bullet point markers 8% HIGH VARIES
Whether the post starts with an emoji 31% HIGH VARIES
Balance between positive and negative emoji -1% LOW STEADY
Percentage of emoji that are positive/celebratory 2% LOW VARIES
Proportion of emoji that appear multiple times 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Count of positive/celebratory emoji 0.0 - 0.5 TYPICAL VARIES
Emoji count per 1000 words 0 - 36 TYPICAL VARIES
How consistently emoji pair with specific words 1% TYPICAL STEADY
Variety of different emoji used (unique/total ratio) 22% TYPICAL VARIES
Variety of different emoji used as bullets 1% TYPICAL VARIES
Whether any emoji are used in the post 25% of posts TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 6% LOW VARIES
Percentage of words that are contractions 51% LOW VARIES
Ratio of negative to positive contractions 1:37 LOW VARIES
Usage of negative contractions (don't, won't, can't) 4% LOW VARIES
Variety of different contractions used 16% LOW VARIES
Count of positive contractions used 50% TYPICAL VARIES
Number of different contraction types 48% TYPICAL VARIES
Total number of contractions 56% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 47% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'as' per 1000 words 0-21 per 1k words HIGH VARIES
Usage of 'because' per 1000 words 0-6 per 1k words HIGH VARIES
Usage of 'but' per 1000 words 0-12 per 1k words HIGH VARIES
Usage of 'so' per 1000 words 0-10 per 1k words HIGH VARIES
Usage of 'that' per 1000 words 0-22 per 1k words HIGH VARIES
Usage of 'which' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'who' per 1000 words 0-4 per 1k words LOW VARIES
Overall grammatical word usage 163 - 249 TYPICAL STEADY
Usage of 'a' per 1000 words 4 - 47 TYPICAL STEADY
Usage of 'and' per 1000 words 2 - 48 TYPICAL STEADY
Usage of 'at' per 1000 words 0-23 per 1k words TYPICAL VARIES
Usage of 'by' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 24 TYPICAL VARIES
Usage of 'if' per 1000 words 0-12 per 1k words TYPICAL VARIES
Usage of 'is' per 1000 words 0-17 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 36 TYPICAL VARIES
Usage of 'on' per 1000 words 0-19 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 9 - 53 TYPICAL STEADY
Usage of 'to' per 1000 words 12 - 50 TYPICAL STEADY
Usage of 'with' per 1000 words 0-19 per 1k words 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 79% HIGH STEADY
Proportion of hashtags placed at the end 90% HIGH STEADY
Proportion of hashtags in the opening 7% LOW VARIES
Ratio of inline hashtags to end hashtags 7% LOW VARIES
Whether the opening line contains a hashtag 9% LOW VARIES
Hashtag density per 100 words 0.0 - 7.0 TYPICAL VARIES
Proportion of hashtags in ALL CAPS 6% TYPICAL VARIES
Proportion of hashtags using CamelCase 15% TYPICAL VARIES
Proportion of hashtags woven into the text 3% TYPICAL VARIES
Total number of hashtags 0.0 - 4.4 TYPICAL STEADY
Whether any hashtags are used 62% of posts TYPICAL STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
Negation words in the hook 0.0 - 1.3 HIGH VARIES
Number of emoji in the hook 0.0 - 1.1 HIGH VARIES
Whether the hook contains a question 25% of posts HIGH 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 148 - 294 TYPICAL STEADY
Character position where the hook ends 148 - 294 TYPICAL STEADY
Hook length relative to total post 62% TYPICAL STEADY
Hook lines relative to total lines 59% TYPICAL STEADY
Use of 'you/your' in the hook 3% TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 62% TYPICAL STEADY
Whether the hook contains emoji 17% of posts TYPICAL VARIES
Whether there's a blank line after the hook 19% TYPICAL VARIES
Whether there's a clear opening hook section 44% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Blank lines per 100 total lines 19 - 53 HIGH STEADY
Proportion of blank space 36% HIGH STEADY
Ratio of lines starting with quotes 3% HIGH VARIES
Ratio of lines starting with ALL CAPS 1% LOW VARIES
Ratio of lines starting with punctuation 1% LOW VARIES
Variation in block sizes 11% LOW VARIES
Variation in line lengths 0 - 209 LOW VARIES
Average characters per line 52 - 157 TYPICAL STEADY
Average lines per text block 0.9 - 1.2 TYPICAL STEADY
Average spacing between blank lines 0.5 - 2.3 TYPICAL STEADY
Average words per line 9 - 27 TYPICAL STEADY
Lines containing exactly one sentence 67% TYPICAL STEADY
Number of visual text blocks 1.6 - 9.8 TYPICAL STEADY
Percentage of single-word lines 2% TYPICAL VARIES
Percentage of very short lines (<5 words) 15% TYPICAL VARIES
Predictability of line length pattern Very consistent TYPICAL STEADY
Ratio of lines starting with numbers 2% TYPICAL VARIES
Spacing between content-rich lines 0.9 - 2.4 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 emoji bullet list sections 0.0 - 0.2 LOW VARIES
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 emoji bullet lists are used 2% of posts LOW VARIES
Whether numbered lists are used 0% of posts LOW STEADY
Average items per emoji list 12% TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
How often three-word phrases repeat 42% LOW VARIES
Common idioms and expressions per 1000 words 11% TYPICAL VARIES
Count of idiomatic expressions 0.0 - 0.2 TYPICAL VARIES
Count of words used only once 24 - 79 TYPICAL STEADY
How often two-word phrases repeat 0.0 - 8.6 TYPICAL VARIES
Length of longest repeated phrase 0.2 - 2.8 TYPICAL STEADY
Number of unique words used 26 - 104 TYPICAL STEADY
Percentage of words used only once 82% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% TYPICAL STEADY
Unique words divided by total words 79% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with adverbs 0.0-1.3 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-1.6 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.7 per post HIGH VARIES
Count of sentences starting with pronouns 0.1-3.3 per post HIGH STEADY
Count of sentences starting with subordinate clauses 0.0-1.2 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.4 per post 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) (%) 0 - 48 HIGH VARIES
Sentences starting with subordinate clauses (%) 6% HIGH VARIES
Sentences starting with time words (%) 1% 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
Count of sentences starting with -ing verbs 0.0-0.5 per post TYPICAL VARIES
Sentences starting with -ing verbs (%) 2% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Whether the closing has a signature phrase 25% of posts HIGH VARIES
Whether the closing has emoji clusters 4% HIGH VARIES
ALL CAPS words in the closing 2% LOW VARIES
Character length of the closing 127 - 344 TYPICAL STEADY
Closing length relative to total post 63% TYPICAL STEADY
Number of emoji in the closing 0.0 - 0.9 TYPICAL VARIES
Whether the ending has a call-to-action 38% of posts TYPICAL VARIES
Whether the ending includes emoji 19% of posts TYPICAL VARIES
Whether the ending includes hashtags 62% of posts TYPICAL STEADY
Whether the ending is a question 21% TYPICAL VARIES
Whether there's a clear closing section 94% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Closing paragraph length vs body average 88% HIGH STEADY
Consecutive short paragraphs 1.1 - 9.0 HIGH STEADY
Consecutive long paragraphs 2% LOW VARIES
How much paragraph length varies 41% LOW VARIES
Variation in length changes between paragraphs 33% LOW VARIES
Average change in length between paragraphs 57% TYPICAL VARIES
Average sentences per paragraph 0.8 - 2.2 TYPICAL STEADY
Average sentences per paragraph 0.8 - 2.2 TYPICAL STEADY
How frequently new paragraphs start 36 - 92 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.0 - 2.7 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Total number of paragraphs 1.6 - 9.8 TYPICAL STEADY
Typical paragraph length (median) 0.6 - 2.1 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 8% TYPICAL STEADY
Percentage of words that are adverbs 5% TYPICAL STEADY
Percentage of words that are determiners 7% TYPICAL STEADY
Percentage of words that are nouns 13 - 23 TYPICAL STEADY
Percentage of words that are prepositions 10% TYPICAL STEADY
Percentage of words that are pronouns 5 - 17 TYPICAL STEADY
Percentage of words that are verbs 11 - 18 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.3 - 1.7 TYPICAL STEADY
Count of complex words (3+ syllables) 3 - 19 TYPICAL STEADY
How easy the text is to read (higher = easier) 45 - 81 TYPICAL STEADY
Percentage of complex words (3+ syllables) 8 - 20 TYPICAL STEADY
Total sentence count 3 - 11 TYPICAL STEADY
Total syllables in the post 41 - 225 TYPICAL STEADY
Total word count of the post 26 - 154 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Mixed punctuation clusters per 1000 words 0-1 per 1k words HIGH VARIES
Multiple question marks per 1000 words 0-1 per 1k words HIGH VARIES
Colon usage per 1000 words 0-6 per 1k words LOW VARIES
Em dash (—) usage per 1000 words ~0 per 1k words LOW STEADY
En dash (–) usage per 1000 words ~0 per 1k words LOW STEADY
Hyphen usage per 1000 words 0-15 per 1k words LOW VARIES
Parentheses usage per 1000 words 0-7 per 1k words LOW VARIES
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Comma usage per 1000 words 7-60 per 1k words TYPICAL STEADY
Ellipsis (...) usage per 1000 words 0-9 per 1k words TYPICAL VARIES
Exclamation marks per 1000 words 0-43 per 1k words TYPICAL VARIES
Multiple exclamation marks per 1000 words 0-6 per 1k words TYPICAL VARIES
Percentage of sentences ending with a question 8% TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 45 TYPICAL VARIES
Percentage of sentences trailing off with ellipsis 90% TYPICAL VARIES
Question marks per 1000 words 0-21 per 1k words TYPICAL VARIES
Quotation mark usage per 1000 words 0-12 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Lines starting with quotation marks 3% HIGH VARIES
Presence of dialogue attribution patterns 1% HIGH STEADY
Number of quotation blocks 0.0 - 1.0 LOW VARIES
Total characters in quoted content 0 - 90 LOW VARIES
Average length of quoted passages 0 - 84 TYPICAL VARIES
Lines using past tense 44% TYPICAL STEADY
Number of narrative/story signals 0.5 - 2.1 TYPICAL STEADY
Use of story transitions 9% TYPICAL VARIES
Whether the post contains quotations 25% of posts TYPICAL VARIES
Whether the post tells a story 40% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Parenthetical breaks per 1000 words 0-7 per 1k words LOW VARIES
Average number of clauses per sentence 1.3 - 2.4 TYPICAL STEADY
Average number of words per sentence 9 - 19 TYPICAL STEADY
Average words per sentence 9 - 19 TYPICAL STEADY
How much sentence length varies (normalized) 60% TYPICAL STEADY
How often paragraphs contain just one sentence 67% TYPICAL STEADY
Length of your longer sentences (80th percentile) 14 - 28 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 2 - 13 TYPICAL STEADY
Overall sentence complexity 12 - 43 TYPICAL STEADY
Percentage of sentences over 20 words 23% TYPICAL STEADY
Percentage of sentences under 8 words 29% TYPICAL STEADY
Typical sentence length (median) 8 - 19 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 2.7 TYPICAL VARIES
Variation in sentence lengths 4 - 13 TYPICAL STEADY
Word count of shortest sentence 0 - 11 TYPICAL VARIES
Word count of the longest sentence 15 - 38 TYPICAL STEADY

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