Which posts
print money.
We find them.
We dissect hashtag velocity, sentiment drift, and engagement decay so DTC founders and brand managers know exactly where to double down — and where to stop spending.
Three signals.
One verdict.
Most dashboards show you everything. We built a framework that shows you the three numbers that predict whether a post will drive revenue — before you spend another dollar boosting it.
Analytical Framework — Pulse v2.1
Raw Feed Data
All posts · 90 days
Hashtag Velocity
Momentum index
Sentiment Drift
Tone over time
Decay Curves
Engagement half-life
Signal Posts
Revenue-linked
01
Hashtag Velocity
We track how fast a hashtag cluster gains traction in the first 90 minutes after posting. Velocity predicts organic reach amplification — before the algorithm decides.
02
Sentiment Drift
Comments tell a different story than likes. We map how brand sentiment shifts across the engagement window, catching the posts that generate sales intent vs. passive scrolling.
03
Decay Curves
Every post has an engagement half-life. Knowing yours means knowing exactly when to boost, reshare, or retire — so your media budget compounds instead of evaporates.
Marigold Skincare.
Six weeks.
A DTC skincare brand spending $22K/month on paid social with no idea which organic posts were driving conversions. We ran a full signal audit. Here is what moved.
Engagement Rate
▲0.8%
vs. 0.8% baseline
Revenue per Post
▲$0
avg across signal posts
Cost per Acquisition
▼$18.40
↓ 77% in 6 weeks
Wasted Spend Eliminated
▲0%
of boosting budget recovered
Finding
"7 posts out of 42 were responsible for 89% of social-attributed revenue."
The other 35 posts consumed 61% of the boosting budget. After our audit, Marigold redirected that spend toward amplifying their 7 signal posts — and replicated the content patterns across the next quarter.
Revenue contribution by post — blue = signal posts
Timeline
Week 1–2
Signal audit & decay mapping
Week 3
Content pattern extraction
Week 4–5
Budget reallocation model
Week 6
Live dashboard handoff
Result
$340K
additional revenue attributed to social in Q1 2026 — without increasing ad spend.
Three analysts.
One obsession.
We work with eight brands at a time. No more. Each client gets a dedicated analyst, weekly async reports, and a standing Thursday call.
Nadia Osei-Bonsu
Founder & Lead Analyst
Former data science lead at a $400M DTC portfolio. Built the decay-curve model that became Pulse's core IP.
"The data tells the truth. We just translate it."
Rafael Mendes
Head of Strategy
Ran growth at three Series B startups before going independent. Specializes in CPG and lifestyle brands.
"A bad post boosted is just a faster way to waste money."
Yuki Tanaka
Sentiment & NLP Engineer
PhD in computational linguistics. Built the sentiment drift model that catches tone shifts 48 hours before they hit your reviews.
"Comments are the real dashboard."
Our Process
Every brief starts with your last 90 days of posts.
We pull every post, every comment, every boost dollar spent.
We map the decay curve for each piece of content.
We identify the pattern behind your top 10% performers.
We hand you a playbook — not a report.
Your next post
could be signal.
In one 60-minute session, we walk through your last 30 days of content and show you exactly which three posts you should have doubled down on — and why. No pitch. No commitment. Just your data, made legible.
60min
Session length
Free
No cost, no pitch
48h
Findings delivered