Data-Driven Hero
How to Fuel Growth with Consumer &
Market Insights
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Hi! We’re Gray Dot Co
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Gray Dot Co
A boutique digital marketing agency
connecting the dots between SEO, market
insights, and analytics.
SAM TORRES
Chief Digital Officer
Data & dev nerd
SEO mermaid™
TORY GRAY
Founder & CEO
SEO & data nerd
Puzzle enthusiast
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How do we
compare to the
other guys?
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How do we
go viral?
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Do people
even care?
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Plus some benefits…
Invesp: https://www.invespcro.com/blog/data-driven-marketing/
BARC Research: https://bi-survey.com/big-data-benefits
87% 5-8x 8%
Of marketers say
data is their
company’s most
underutilized asset
Growth of ROI for
businesses that
use data-driven
strategies over
businesses
who don’t
Profit increase for
businesses that
regularly use
big data
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Why this webinar matters
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Understanding how consumers think,
act, and spend is the crux of
marketing.
A lot of this data is readily available -
at little or no cost - through online
sources and platforms.
Use it to answer even the trickiest
marketing questions with robust data
that’s accurate.
We’ll share our secret
weapon for turning
everyday digital
marketing data into
answers that wow your
boss and team.
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We’ll cover…
What is Digital Market Intelligence (DMI)?
Search
Social
Forum & Review
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Meet Digital
Market
Intelligence
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What is Digital Market Intelligence
(and how is it different)?
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√ Real opinions of real people
x Data collected over months
x Thousands of respondents
x Limited sample size
x Data may contain bias
x Potential information decay
√ Real opinions of real people
√ Data collected in just days
√ Millions of data points
√ Huge swaths of population
√ Data free from influence
√ Timely, relevant information
DIGITAL MARKET
INTELLIGENCE
TRADITIONAL MARKET
RESEARCH
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How do we get the data?
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PULL DIRECTLY FROM APIs WEAVE IN 1ST-PARTY DATA
Example data
● Keyword volume
● Hashtag volume
● Video views
● Region
● Keyword intent
Example data
● Segmentation
● Conversion
● Average order value
● Lifetime value
● Attribution
CRAWL ONSITE CONTENT
● Comments
● Questions
● Reviews
● Pricing
● Forum posts
Example data
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Where do we get the data?
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● Google Search Console
● Google Ads
● Youtube API
● Google Trends
● 3rd-Party Tools like Moz
SOCIAL DATA
IS ENGAGEMENT
SEARCH DATA
IS DEMAND
FORUM & COMMENT
DATA IS SENTIMENT
Data Sources
● TikTok API & Trends
● Facebook & Instagram
● Pinterest API & Trends
● LinkedIn
● X (formerly Twitter)
Data Sources
● 1st-Party Data
● Forum Sites like Reddit
● Q&A Sites like Quora
● Review Aggregators
● Marketplaces like Amazon
Data Sources
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When should you use it?
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x Extremely niche verticals
x Pricing sensitivity
x Qualitative surveying
x Interviews
x User testing
x Historical data 5+ years
√ Market & demand sizing
√ Established verticals
√ Statistically significant data
√ Competitive research
√ Brand positioning and gaps
√ Early trend detection
WHAT DMI DOES WELL WHAT IT DOESN’T DO
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What does the process look like?
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Identify questions and pinpoint
the right data sources.
Spotlight the business-critical questions at play
and map them to digital sources with the most
relevant data.
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What does the process look like?
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Gather, group, and categorize data
using machine learning.
Lean on machine-learning models to
sort, segment, and cluster, which saves
time for what matters: analysis.
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What does the process look like?
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Analyze patterns for potential
business opportunities.
Connect patterns to insights, calculating
common consumer insights metrics
using digital data points.
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What does the process look like?
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Deliver actionable insights
and clear next steps.
Make insights actionable with clear next
steps, so the business can move fast and
capitalize on opportunities.
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How to use
search data as
market
intelligence
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Search data is active demand
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Keyword (and/or hashtag) volume Keyword intent
Competitive research Historical trends
When people search for topics or products, they’re taking action driven by a need.
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Where to get demand data
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What can we quantify with it?
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Regional demand
TAM & market trends
Informational demand
Brand demand
Seasonal demand
Share of voice
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Practical how-to: Share of Voice
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The big question: “How are we doing vs the other guys?”
Brand-Eligible KW Volume
÷
Landscape KW Volume
Summed
volume of all
keywords
where a
domain ranks
on page one.
Summed volume
of all keywords
relevant to a
brand’s vertical
or industry
regardless of
rankings.
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How to use
social data as
digital market
intelligence
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Social data is engagement
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When people engage with content on social media, they highlight what cuts through the noise.
Hashtag volume Likes and views
Followers Audiences
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Where to get engagement data
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What can we quantify with it?
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Regional engagement
Trend probability
Topic saturation
Audience personas
Share of engagement
Community footprint
AKA: language your boss will understand
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Practical how-to: Trend probability
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The big question: “How do we go viral on TikTok? Which videos do we make?”
Hashtag views past 7 days
÷
Hashtag views past 120 days
Pull these
numbers from
TikTok Creative
Center for free.
The higher the
percentage, the
higher the trend
probability for a
given topic.
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How to use
forum and
review data as
digital market
intelligence
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Forum, review, and comment data
is consumer sentiment
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Real qualitative feedback, uncensored and free from survey bias, at scale.
Questions Answers
Comments & Reviews Syntax & semantics
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Where to get sentiment data
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eCommerce Reviews
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What can we quantify with it?
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Passion index
Sentiment analysis
Problem & topic
saturation
Sentiment mapping
Attribute scoring
Sentiment scoring
How people feel, the way they communicate it, & what they’re most passionate about.
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Gather sentiment by crawling
digital sources.
Locate where your target audience
shares opinions and crawl relevant
content at scale — like comments,
reviews, and more.
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Practical how-to: Sentiment scoring
The big question: “Okay but, really, do people even care?” (About a thing you want to implement)
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Feed data into a natural language
processing model.
There are sites like ML for SEO, where you
can get ready-to-use templates for
sentiment analysis and more.
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Practical how-to: Sentiment scoring
ML for SEO: https://www.mlforseo.com/google-sheets-templates/
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Train AI to find outliers, gauge tone,
understand scale, and score sentiment.
We’ve built and trained our own machine
learning models for AI that understands
and scores tone more accurately.
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Practical how-to: Sentiment scoring
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Unlock meaningful insights about how
people feel, think, and respond.
Scoring at scale enables human analysis
to find patterns and backtrack to the
common variable driving the sentiment.
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Practical how-to: Sentiment scoring
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What else can
we answer?
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Common questions: Content SEO
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Are there any gaps
in our
competitors’
content that we
can fill instead?
How does our
audience talk about
the problem in their
own words?
What specific topics should we cover?
Which content
creators should we
work with?
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Common questions: eCommerce SEO
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Which feature(s) of
our product do
people care about
the most?
How much demand
is there for {X} vs.
{Y} product lines?
What new products
should we consider
offering?
Is the demand
for {Y} product
growing or
shrinking?
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Common questions: Go-to-Market
Strategy
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Which
markets/regions
should we launch
in first?
Who’s the
competition and
how are they
performing in
target markets?
How does the
audience in {X}
talk about {Y}
product/service
line?
Which influencers are notable in {X}?
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What question do you
want to answer?
Share in the comments!
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Thank you!
LinkedIn
/company/graydotco
/in/torygray
/in/samantha-torres-seo
X (Formerly Twitter)
@GrayDotCo
@ToryLynne
@SamTorresATL
thegray.company/DMI