Fastmarkets Metals and Mining's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 22 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
6x more
See example from 26 Nov 2025
Emoji count relative to sentence count
signature
11x more
Whether the post starts with an emoji
signature
20x more
See example from 26 Nov 2025
Number of emoji in the opening hook
signature
8x more
Percentage of lines containing at least one emoji
signature
7x more
Count of neutral/functional emoji
7x more
Proportion of hashtags placed at the end
consistent
4x more

Does Less Of...

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

Whether the hook contains a question
consistent
rarely
Usage of 'but' per 1000 words
consistent
rarely
CTAs phrased as questions vs statements
consistent
rarely
Percentage of words that are pronouns
2x less
How easy the text is to read (higher = easier)
consistent
1.4x less
Typical paragraph length (median)
consistent
1.4x 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 neutral, functional emoji a staggering 6 times more than the average LinkedIn author - and you kick off your posts with an emoji 20 times more often than most. It's not just a sprinkle, either: for every sentence you write, you've got 11 times the emoji density, and your opening hook alone is 8 times more emoji-heavy than typical. You haven't just embraced emoji - you've made them your punctuation.

Why does this work? Readers see your posts and instantly decode them as approachable, clear, and unmistakably branded. No bland scroll-stopping here - your posts are visually distinct before the first word lands. Now try briefing a ghostwriter to "start nearly every post and line with a neutral, functional emoji, but keep questions and pronouns at a minimum." They'd laugh you out of the Zoom room. This isn't a style guide - it's muscle memory. You couldn't fake it if you wanted to.

And about your cadence? You post less than once a week, but each one lands with unmistakable DNA. This is what Drumbeat captures - the patterns you can't explain, but your readers recognize instantly. Your company's voice, at scale, without losing your edge.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

16 Apr 2024 - 12 May 2025

0.4 posts/week avg
17/57 active weeks
40 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 Upper half HIGH STEADY
CTAs using command verbs (Click, Share, Comment, etc.) 36% HIGH VARIES
Whether CTAs include emoji 27% of posts HIGH VARIES
Whether any call-to-action exists 96% of posts HIGH STEADY
CTAs phrased as questions vs statements 0% LOW STEADY
Whether CTAs are concentrated at the end of the post 0% LOW STEADY
Whether CTAs include hashtags 14% of posts TYPICAL VARIES
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average emoji per line of text 59% HIGH STEADY
Average number of emoji appearing together in clusters 29% HIGH VARIES
Count of neutral/functional emoji 1.2 - 5.7 HIGH STEADY
Emoji count per 1000 words 0 - 37 HIGH VARIES
Emoji count relative to sentence count 99% HIGH STEADY
Emoji density in CTA sections 18 - 71 HIGH STEADY
Emoji density in the hook section 18 - 60 HIGH STEADY
Emoji usage in the middle section of the post 0 - 87 HIGH VARIES
Emoji used to replace words entirely 12% HIGH VARIES
How often the same emoji repeats across the post 18% HIGH VARIES
Largest group of adjacent emoji 29% HIGH VARIES
Number of different emoji types used 0.0 - 2.2 HIGH VARIES
Number of emoji clusters (groups of adjacent emoji) 0.0 - 0.5 HIGH VARIES
Number of emoji in call-to-action lines 0.5 - 1.2 HIGH STEADY
Number of emoji in the opening hook 1.2 - 2.5 HIGH STEADY
Percentage of emoji that are 'corpspeak' type 5% HIGH VARIES
Percentage of emoji that are neutral/functional 95% HIGH STEADY
Percentage of lines containing at least one emoji 54% HIGH STEADY
Proportion of emoji appearing in clusters 10% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 2.3 HIGH VARIES
Total number of emoji in the post 0.0 - 3.2 HIGH VARIES
Variety of different emoji used (unique/total ratio) 26% HIGH VARIES
Whether any emoji are used in the post 32% of posts HIGH VARIES
Whether the post starts with an emoji 57% HIGH STEADY
Count of negative/warning emoji ~0.0 LOW STEADY
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 emoji that are negative/warning 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
Average distance between repeated emoji 10% TYPICAL VARIES
Balance between positive and negative emoji 5% TYPICAL VARIES
Consistency of emoji bullet indentation 0% TYPICAL STEADY
Count of positive/celebratory emoji 0.0 - 0.5 TYPICAL VARIES
Percentage of emoji that are positive/celebratory 5% TYPICAL VARIES
Formality & Tone
9
Feature Your DNA vs Others Consistency
Ratio of negative to positive contractions 182:1 HIGH VARIES
Count of positive contractions used 27% LOW VARIES
Total number of contractions 46% LOW VARIES
Count of negative contractions used 18% TYPICAL VARIES
Number of different contraction types 46% TYPICAL VARIES
Percentage of words that are contractions 79% TYPICAL VARIES
Usage of negative contractions (don't, won't, can't) 20% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 59% TYPICAL VARIES
Variety of different contractions used 32% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'as' per 1000 words 0-24 per 1k words HIGH VARIES
Usage of 'by' 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 per 1k words LOW STEADY
Usage of 'is' per 1000 words 0-13 per 1k words LOW VARIES
Usage of 'on' per 1000 words 0-11 per 1k words LOW VARIES
Usage of 'so' per 1000 words ~0 per 1k words LOW STEADY
Usage of 'that' per 1000 words 0-1 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 114 - 233 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 40 TYPICAL VARIES
Usage of 'and' per 1000 words 5 - 48 TYPICAL STEADY
Usage of 'at' per 1000 words 0-20 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0-22 per 1k words TYPICAL VARIES
Usage of 'if' per 1000 words 0-9 per 1k words TYPICAL VARIES
Usage of 'of' per 1000 words 0 - 31 TYPICAL VARIES
Usage of 'the' per 1000 words 5 - 69 TYPICAL STEADY
Usage of 'to' per 1000 words 9 - 48 TYPICAL STEADY
Usage of 'with' per 1000 words 0 - 24 TYPICAL VARIES
Variety of function words used 31% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 9 - 15 HIGH STEADY
Hashtag density per 100 words 1.3 - 9.4 HIGH STEADY
Proportion of all-lowercase hashtags 36% HIGH STEADY
Proportion of hashtags placed at the end 82% HIGH STEADY
Proportion of hashtags using CamelCase 59% HIGH STEADY
Total number of hashtags 1.4 - 5.0 HIGH STEADY
Whether any hashtags are used 82% of posts HIGH STEADY
Ratio of inline hashtags to end hashtags 4% LOW VARIES
Proportion of hashtags in ALL CAPS 5% TYPICAL VARIES
Proportion of hashtags in the opening 15% TYPICAL VARIES
Proportion of hashtags woven into the text 3% TYPICAL VARIES
Whether the opening line contains a hashtag 28% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.0 - 1.4 HIGH VARIES
Whether the hook contains emoji 27% of posts HIGH VARIES
Whether there's a blank line after the hook 36% HIGH VARIES
Negation words in the hook 0.0 - 0.5 LOW VARIES
Use of 'you/your' in the hook 1% LOW VARIES
Whether the hook contains a question 0% of posts LOW STEADY
Whether the hook starts with a conjunction 0% LOW STEADY
ALL CAPS words in the hook 2% TYPICAL VARIES
Character count of the hook 159 - 377 TYPICAL STEADY
Character position where the hook ends 159 - 377 TYPICAL STEADY
Hook length relative to total post 73% TYPICAL STEADY
Hook lines relative to total lines 61% TYPICAL STEADY
Where LinkedIn's 'see more' cuts off 73% TYPICAL STEADY
Whether there's a clear opening hook section 32% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Percentage of very short lines (<5 words) 21% HIGH VARIES
Predictability of line length pattern Very consistent 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
Ratio of lines starting with punctuation 0% LOW STEADY
Average characters per line 56 - 185 TYPICAL STEADY
Average lines per text block 0.9 - 1.7 TYPICAL STEADY
Average spacing between blank lines 0.2 - 2.8 TYPICAL STEADY
Average words per line 9 - 27 TYPICAL STEADY
Blank lines per 100 total lines 12 - 45 TYPICAL STEADY
Lines containing exactly one sentence 71% TYPICAL STEADY
Number of visual text blocks 1.5 - 4.6 TYPICAL STEADY
Proportion of blank space 28% TYPICAL STEADY
Spacing between content-rich lines 0.8 - 2.2 TYPICAL STEADY
Variation in block sizes 40% TYPICAL VARIES
Variation in line lengths 0 - 439 TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Variety of emoji used as bullets 2% HIGH VARIES
Whether emoji bullet lists are used 4% 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 4% 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 14% TYPICAL VARIES
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
Count of words used only once 23 - 67 TYPICAL STEADY
How often three-word phrases repeat 0.0 - 4.1 TYPICAL VARIES
How often two-word phrases repeat 0.0 - 8.8 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 2.9 TYPICAL VARIES
Number of unique words used 24 - 82 TYPICAL STEADY
Percentage of words used only once 87% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% TYPICAL STEADY
Unique words divided by total words 85% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with -ing verbs 0.0-0.6 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-0.6 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.3 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-0.6 per post HIGH VARIES
Sentences starting with -ing verbs (%) 5% HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 2% HIGH VARIES
Sentences starting with adverbs (%) 7% HIGH VARIES
Sentences starting with subordinate clauses (%) 4% HIGH VARIES
Count of sentences starting with There is/It is ~0.0 per post LOW STEADY
Count of sentences starting with conjunctions ~0.0 per post LOW STEADY
Count of sentences starting with pronouns 0.0-1.1 per post LOW VARIES
Sentences starting with 'There is/are' or 'It is' (%) 0% LOW STEADY
Sentences starting with And, But, Or, So (%) 0% LOW STEADY
Count of sentences starting with time words 0.0-0.3 per post TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 9% TYPICAL VARIES
Sentences starting with time words (%) 57% TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 1.3 HIGH VARIES
Whether the closing has emoji clusters 4% HIGH VARIES
Whether the ending includes emoji 27% of posts HIGH VARIES
Whether the ending includes hashtags 82% of posts HIGH STEADY
ALL CAPS words in the closing 2% LOW VARIES
Whether the ending is a question 4% LOW VARIES
Character length of the closing 146 - 380 TYPICAL STEADY
Closing length relative to total post 76% TYPICAL STEADY
Whether the closing has a signature phrase 18% of posts TYPICAL VARIES
Whether the ending has a call-to-action 36% of posts TYPICAL VARIES
Whether there's a clear closing section 64% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Opening paragraph length vs body average 2% HIGH STEADY
Consecutive long paragraphs 4% LOW VARIES
Variation in length changes between paragraphs 42% LOW VARIES
Average change in length between paragraphs 91% TYPICAL VARIES
Average sentences per paragraph 0.9 - 2.3 TYPICAL STEADY
Average sentences per paragraph 0.9 - 2.3 TYPICAL STEADY
Closing paragraph length vs body average 70% TYPICAL STEADY
Consecutive short paragraphs 1.2 - 4.2 TYPICAL STEADY
How frequently new paragraphs start 16 - 108 TYPICAL STEADY
How much paragraph length varies 84% TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.1 - 3.4 TYPICAL STEADY
Total number of paragraphs 1.7 - 4.6 TYPICAL STEADY
Typical paragraph length (median) 0.7 - 2.1 TYPICAL STEADY
Parts of Speech
9
Feature Your DNA vs Others Consistency
Percentage of auxiliary/helper verbs 3% LOW STEADY
Percentage of words that are pronouns 4% LOW VARIES
Balance/distribution of different word types Fairly consistent TYPICAL STEADY
Percentage of words that are adjectives 8% 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 18 - 41 TYPICAL STEADY
Percentage of words that are prepositions 10% TYPICAL STEADY
Percentage of words that are verbs 6 - 15 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Total sentence count 1.5 - 5.9 LOW STEADY
Average word complexity (syllables per word) 1.6 - 1.9 TYPICAL STEADY
Count of complex words (3+ syllables) 4 - 26 TYPICAL STEADY
How easy the text is to read (higher = easier) 21 - 57 TYPICAL STEADY
Percentage of complex words (3+ syllables) 17 - 28 TYPICAL STEADY
Total syllables in the post 39 - 198 TYPICAL STEADY
Total word count of the post 23 - 109 TYPICAL STEADY
Punctuation Style
17
Feature Your DNA vs Others Consistency
Colon usage per 1000 words 0-92 per 1k words HIGH VARIES
Parentheses usage per 1000 words 0-16 per 1k words HIGH VARIES
Percentage of sentences trailing off with ellipsis 3% HIGH 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
Exclamation marks per 1000 words 0-15 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
Percentage of sentences ending with a question 3% LOW VARIES
Percentage of sentences ending with exclamation 7% LOW VARIES
Question marks per 1000 words 0-8 per 1k words LOW VARIES
Semicolon usage per 1000 words ~0 per 1k words LOW STEADY
Comma usage per 1000 words 0-67 per 1k words TYPICAL STEADY
Ellipsis (...) usage per 1000 words 0-11 per 1k words TYPICAL VARIES
Hyphen usage per 1000 words 0-23 per 1k words TYPICAL VARIES
Quotation mark usage per 1000 words 0-14 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Lines starting with quotation marks 2% HIGH VARIES
Presence of dialogue attribution patterns 0% LOW STEADY
Average length of quoted passages 0 - 71 TYPICAL VARIES
Lines using past tense 32% TYPICAL STEADY
Number of narrative/story signals 0.2 - 2.2 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.2 TYPICAL VARIES
Total characters in quoted content 0 - 164 TYPICAL VARIES
Use of story transitions 6% TYPICAL VARIES
Whether the post contains quotations 46% of posts TYPICAL VARIES
Whether the post tells a story 36% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Word count of shortest sentence 3 - 18 HIGH STEADY
Percentage of sentences under 8 words 18% LOW VARIES
Average number of clauses per sentence 1.7 - 3.1 TYPICAL STEADY
Average number of words per sentence 11 - 25 TYPICAL STEADY
Average words per sentence 11 - 25 TYPICAL STEADY
How much sentence length varies (normalized) 41% TYPICAL STEADY
How often paragraphs contain just one sentence 66% TYPICAL STEADY
Length of your longer sentences (80th percentile) 13 - 39 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 4 - 19 TYPICAL STEADY
Overall sentence complexity 16 - 75 TYPICAL STEADY
Parenthetical breaks per 1000 words 0-16 per 1k words TYPICAL VARIES
Percentage of sentences over 20 words 29% TYPICAL VARIES
Typical sentence length (median) 9 - 24 TYPICAL STEADY
Variation in clause count across sentences 0.0 - 5.0 TYPICAL VARIES
Variation in sentence lengths 0 - 14 TYPICAL STEADY
Word count of the longest sentence 14 - 39 TYPICAL STEADY

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