Alex Lambert's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 29 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 lines containing at least one emoji
signature
7x more
Whether the hook contains emoji
signature
7x more
Number of emoji in call-to-action lines
7x more
Average emoji per line of text
consistent
6x more
Variety of different emoji used (unique/total ratio)
consistent
5x more
Emoji count relative to sentence count
7x more
Whether the ending includes emoji
5x more

Does Less Of...

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

Consecutive long paragraphs
consistent
rarely
Number of unique words used
1.8x less
Count of words used only once
1.6x less
Average characters per line
consistent
1.6x less
Average words per line
consistent
1.5x less
Character length of the closing
consistent
1.5x less
Average sentences per paragraph
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 emojis 7 times more often than the average LinkedIn poster - not just in your main text, but in your hooks and calls-to-action too. On top of that, you pack 6x more emojis per line and cycle through a far wider variety, using 5x the range of unique emoji. It’s not just a quirk - it’s a signature. Your posts aren’t just read, they’re scanned, decoded, felt.

That relentless emoji energy works because it signals warmth, confidence, irreverence - and makes your content instantly skimmable in a sea of sameness. Now try briefing that to a ghostwriter: “Hey, use 7x more emojis, but keep it natural, not forced. And make sure every line lands with punchy minimalism, not long-winded paragraphs.” They’d look at you like you’ve lost it. You can’t turn this into a style guide. You couldn’t even explain it yourself if you tried.

And you do all this while posting less than once a week - 0.1 times, to be exact. 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 (Nov 2021 - Nov 2025)

Recent 3 posts since Dec 2023
vs
Earlier 26 posts before Dec 2023
Hashtag usage Stopped (was 65%, now rarely)
Stopped
Opening hashtags Declining (4% → 0%)
Less

Style patterns based on 29 posts. Recent trends may differ from overall averages shown above.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

18 Nov 2021 - 05 Nov 2025

0.1 posts/week avg
23/208 active weeks
185 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 17% of posts HIGH VARIES
Average position of CTAs in the post Near top 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 3% of posts LOW VARIES
Whether any call-to-action exists 24% of posts LOW VARIES
CTAs phrased as questions vs statements 7% TYPICAL VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 68% HIGH STEADY
Average number of emoji appearing together in clusters 38% HIGH VARIES
Balance between positive and negative emoji 44% HIGH VARIES
Count of negative/warning emoji 0.0 - 0.2 HIGH VARIES
Count of neutral/functional emoji 0.0 - 2.5 HIGH VARIES
Count of positive/celebratory emoji 0.0 - 1.9 HIGH VARIES
Emoji count per 1000 words 8 - 86 HIGH STEADY
Emoji count relative to sentence count 66% HIGH STEADY
Emoji density in CTA sections 13 - 130 HIGH STEADY
Emoji density in the hook section 18 - 91 HIGH STEADY
Emoji usage in the middle section of the post 0 - 64 HIGH VARIES
Emoji used to replace words entirely 9% HIGH VARIES
How often the same emoji repeats across the post 5% HIGH VARIES
Largest group of adjacent emoji 38% HIGH VARIES
Number of different emoji types used 0.1 - 2.7 HIGH STEADY
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.5 HIGH VARIES
Number of emoji in call-to-action lines 0.5 - 1.8 HIGH STEADY
Number of emoji in the opening hook 0.6 - 2.3 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 0 - 52 HIGH VARIES
Percentage of emoji that are negative/warning 1% HIGH STEADY
Percentage of emoji that are neutral/functional 54% HIGH STEADY
Percentage of emoji that are positive/celebratory 45% HIGH VARIES
Percentage of lines containing at least one emoji 56% HIGH STEADY
Proportion of emoji appearing in clusters 15% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 1.0 HIGH VARIES
Total number of emoji in the post 0.0 - 3.4 HIGH VARIES
Variety of different emoji used (unique/total ratio) 79% HIGH STEADY
Whether any emoji are used in the post 83% of posts HIGH STEADY
Average distance between repeated emoji 2% 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
Percentage of lines that contain only emoji 0% LOW STEADY
Proportion of emoji that appear multiple times 0% LOW STEADY
Variety of different emoji used as bullets 0% LOW STEADY
Whether emoji are used as bullet point markers 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Whether the post starts with an emoji 4% TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Count of negative contractions used 7% LOW VARIES
Number of different contraction types 38% LOW VARIES
Ratio of negative to positive contractions 1:100 LOW STEADY
Usage of negative contractions (don't, won't, can't) 3% LOW VARIES
Variety of different contractions used 14% LOW VARIES
Count of positive contractions used 62% TYPICAL VARIES
Percentage of words that are contractions 98% TYPICAL VARIES
Total number of contractions 69% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 94% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'a' per 1000 words 0 - 76 HIGH VARIES
Usage of 'at' per 1000 words 0 - 37 HIGH VARIES
Usage of 'for' per 1000 words 0 - 54 HIGH VARIES
Usage of 'so' per 1000 words 0-15 per 1k words HIGH VARIES
Usage of 'with' per 1000 words 0 - 41 HIGH VARIES
Usage of 'as' per 1000 words 0-4 per 1k words LOW VARIES
Usage of 'because' per 1000 words 0-1 per 1k words LOW VARIES
Usage of 'by' per 1000 words 0-5 per 1k words LOW VARIES
Usage of 'if' per 1000 words 0-7 per 1k words LOW VARIES
Usage of 'is' per 1000 words 0-13 per 1k words LOW VARIES
Usage of 'that' per 1000 words 0-12 per 1k words LOW VARIES
Usage of 'which' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'who' per 1000 words 0-5 per 1k words LOW VARIES
Overall grammatical word usage 152 - 267 TYPICAL STEADY
Usage of 'and' per 1000 words 0 - 41 TYPICAL VARIES
Usage of 'but' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 29 TYPICAL VARIES
Usage of 'on' per 1000 words 0-23 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 4 - 71 TYPICAL STEADY
Usage of 'to' per 1000 words 0 - 56 TYPICAL STEADY
Variety of function words used 29% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 9 - 15 HIGH STEADY
Proportion of all-lowercase hashtags 80% HIGH STEADY
Proportion of hashtags placed at the end 70% HIGH STEADY
Proportion of hashtags woven into the text 24% HIGH VARIES
Ratio of inline hashtags to end hashtags 0 - 220 HIGH VARIES
Proportion of hashtags in ALL CAPS 2% LOW VARIES
Proportion of hashtags in the opening 6% LOW VARIES
Whether the opening line contains a hashtag 6% LOW VARIES
Hashtag density per 100 words 0 - 11 TYPICAL VARIES
Proportion of hashtags using CamelCase 18% TYPICAL VARIES
Total number of hashtags 0.1 - 3.3 TYPICAL STEADY
Whether any hashtags are used 59% of posts TYPICAL STEADY
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.3 - 1.8 HIGH STEADY
Whether the hook contains a question 31% of posts HIGH VARIES
Whether the hook contains emoji 83% of posts HIGH STEADY
Negation words in the hook 0.0 - 0.2 LOW VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
Whether there's a clear opening hook section 3% of posts LOW VARIES
ALL CAPS words in the hook 2% TYPICAL VARIES
Character count of the hook 102 - 255 TYPICAL STEADY
Character position where the hook ends 102 - 255 TYPICAL STEADY
Hook length relative to total post 88% TYPICAL STEADY
Hook lines relative to total lines 83% TYPICAL STEADY
Use of 'you/your' in the hook 2% TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 88% TYPICAL STEADY
Whether there's a blank line after the hook 21% TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Percentage of very short lines (<5 words) 23% HIGH VARIES
Ratio of lines starting with quotes 2% HIGH VARIES
Average characters per line 47 - 131 LOW STEADY
Average words per line 7 - 22 LOW STEADY
Number of visual text blocks 1.0 - 4.0 LOW STEADY
Percentage of single-word lines 0% LOW STEADY
Ratio of lines starting with numbers 0% LOW STEADY
Ratio of lines starting with punctuation 0% LOW STEADY
Variation in block sizes 19% LOW VARIES
Variation in line lengths 0 - 184 LOW VARIES
Average lines per text block 0.8 - 1.5 TYPICAL STEADY
Average spacing between blank lines 80% TYPICAL VARIES
Blank lines per 100 total lines 7 - 45 TYPICAL STEADY
Lines containing exactly one sentence 62% TYPICAL STEADY
Predictability of line length pattern Very consistent TYPICAL STEADY
Proportion of blank space 26% TYPICAL STEADY
Ratio of lines starting with ALL CAPS 3% TYPICAL VARIES
Spacing between content-rich lines 0.5 - 2.3 TYPICAL STEADY
List Patterns
15
Feature Your DNA vs Others Consistency
Average items per emoji list 24% HIGH VARIES
Number of emoji bullet list sections 0.0 - 0.3 HIGH VARIES
Variety of emoji used as bullets 2% HIGH VARIES
Whether emoji bullet lists are used 7% of posts HIGH VARIES
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 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 numbered lists are used 0% of posts LOW STEADY
Average items per dash/bullet list 14% TYPICAL VARIES
Whether any list structure is used 7% of posts 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
Count of words used only once 8 - 54 LOW STEADY
How often three-word phrases repeat 4% LOW VARIES
How often two-word phrases repeat 0.0 - 5.0 LOW VARIES
Length of longest repeated phrase 66% LOW VARIES
Number of unique words used 7 - 63 LOW STEADY
Percentage of words used only once 92% TYPICAL STEADY
Ratio of meaningful words to grammatical words 4% TYPICAL STEADY
Unique words divided by total words 91% 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 discourse markers 0.0-0.4 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-0.4 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.6 per post HIGH VARIES
Sentences starting with -ing verbs (%) 5% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 5% HIGH VARIES
Sentences starting with adverbs (%) 5% HIGH VARIES
Sentences starting with subordinate clauses (%) 3% HIGH VARIES
Sentences starting with time words (%) 4% 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 0.0-0.4 per post TYPICAL VARIES
Count of sentences starting with conjunctions 0.0-0.4 per post TYPICAL VARIES
Count of sentences starting with pronouns 0.0-1.2 per post TYPICAL VARIES
Sentences starting with And, But, Or, So (%) 98% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 41 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.2 - 2.0 HIGH STEADY
Whether the closing has emoji clusters 14% HIGH VARIES
Whether the ending includes emoji 76% of posts HIGH STEADY
Whether the ending is a question 31% HIGH VARIES
Whether the ending has a call-to-action 14% of posts LOW VARIES
ALL CAPS words in the closing 2% TYPICAL VARIES
Character length of the closing 84 - 265 TYPICAL STEADY
Closing length relative to total post 86% TYPICAL STEADY
Whether the closing has a signature phrase 24% of posts TYPICAL VARIES
Whether the ending includes hashtags 59% of posts TYPICAL STEADY
Whether there's a clear closing section 69% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Consecutive long paragraphs 0% LOW STEADY
How much paragraph length varies 52% LOW STEADY
Total number of paragraphs 1.1 - 4.0 LOW STEADY
Variation in length changes between paragraphs 17% LOW VARIES
Average change in length between paragraphs 84% TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.1 TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.1 TYPICAL STEADY
Closing paragraph length vs body average 79% TYPICAL STEADY
Consecutive short paragraphs 0.7 - 3.2 TYPICAL STEADY
How frequently new paragraphs start 33 - 128 TYPICAL STEADY
Length of your longer paragraphs (80th percentile) 1.2 - 2.8 TYPICAL STEADY
Opening paragraph length vs body average 1% TYPICAL STEADY
Typical paragraph length (median) 0.9 - 2.1 TYPICAL STEADY
Parts of Speech
9
Feature Your DNA vs Others Consistency
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 STEADY
Percentage of words that are adverbs 3% TYPICAL VARIES
Percentage of words that are determiners 9% TYPICAL STEADY
Percentage of words that are nouns 13 - 31 TYPICAL STEADY
Percentage of words that are prepositions 6 - 16 TYPICAL STEADY
Percentage of words that are pronouns 8% TYPICAL STEADY
Percentage of words that are verbs 5 - 18 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Count of complex words (3+ syllables) 0 - 13 LOW VARIES
Total sentence count 1.2 - 5.0 LOW STEADY
Total syllables in the post 5 - 127 LOW STEADY
Total word count of the post 2 - 79 LOW STEADY
Average word complexity (syllables per word) 1.4 - 1.9 TYPICAL STEADY
How easy the text is to read (higher = easier) 36 - 77 TYPICAL STEADY
Percentage of complex words (3+ syllables) 8 - 21 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Ellipsis (...) usage per 1000 words 0-19 per 1k words HIGH VARIES
Parentheses usage per 1000 words 0-33 per 1k words HIGH VARIES
Percentage of sentences ending with a question 0 - 41 HIGH VARIES
Percentage of sentences trailing off with ellipsis 4% HIGH VARIES
Question marks per 1000 words 0-39 per 1k words HIGH VARIES
Semicolon usage per 1000 words 0-5 per 1k words HIGH VARIES
Colon usage per 1000 words 0-25 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
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
Comma usage per 1000 words 0-66 per 1k words TYPICAL VARIES
Exclamation marks per 1000 words 0-41 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-45 per 1k words TYPICAL VARIES
Percentage of sentences ending with exclamation 0 - 39 TYPICAL STEADY
Quotation mark usage per 1000 words 0-18 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Lines starting with quotation marks 2% HIGH VARIES
Average length of quoted passages 0 - 57 LOW VARIES
Presence of dialogue attribution patterns 0% LOW STEADY
Whether the post contains quotations 24% of posts LOW VARIES
Whether the post tells a story 24% of posts LOW VARIES
Lines using past tense 37% TYPICAL STEADY
Number of narrative/story signals 0.2 - 1.8 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.2 TYPICAL VARIES
Total characters in quoted content 0 - 102 TYPICAL VARIES
Use of story transitions 8% TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Parenthetical breaks per 1000 words 0-33 per 1k words HIGH VARIES
Percentage of sentences over 20 words 15% LOW VARIES
Variation in clause count across sentences 92% LOW VARIES
Average number of clauses per sentence 1.1 - 2.4 TYPICAL STEADY
Average number of words per sentence 9 - 18 TYPICAL STEADY
Average words per sentence 9 - 18 TYPICAL STEADY
How much sentence length varies (normalized) 52% TYPICAL STEADY
How often paragraphs contain just one sentence 57% TYPICAL STEADY
Length of your longer sentences (80th percentile) 10 - 29 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 3 - 13 TYPICAL STEADY
Overall sentence complexity 9 - 42 TYPICAL STEADY
Percentage of sentences under 8 words 24% TYPICAL STEADY
Typical sentence length (median) 8 - 18 TYPICAL STEADY
Variation in sentence lengths 1 - 13 TYPICAL STEADY
Word count of shortest sentence 2 - 13 TYPICAL STEADY
Word count of the longest sentence 9 - 33 TYPICAL STEADY

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