SM Analytics — Choll Kim MD PhD
SM Analytics
Objective
Reach more people.
Turn viewers into patients.
Proposed Strategy
Syncing...
Updated May 18, 2026
Overview
Total followers: 16,286  ·  as of May 18, 2026
Net new · past 7 days
+151
+515 new  /  −139 unfollowed
Net new · past 30 days
+977
~1,500 new  /  ~523 unfollowed
Period comparison — Instagram ★ = full breakdown  ·  ◦ = net only
Period A
Period B
For your own analysis in Claude...
Details
P1Comparison— every number needs relative context
9.5 net followers/day → 86.7 after 2x posting
Before 2x/day · Feb 11–Mar 18
Days35
Net followers333 followers
Net followers/day9.5/day
Gross new follows637 follows
Unfollows304 unfollows
Unfollow rate47.7%
Retention rate52.3%
Total views105K views
Views from ads26.8%
Best single day137 new followers
vs
After 2x/day · Mar 18–May 11
Days54
Net followers4,680 followers
Net followers/day86.7/day
Gross new follows5,288 follows
Unfollows608 unfollows
Unfollow rate11.5%
Retention rate88.5%
Total views1.1M+ views
Views from ads0% organic
Best single day542 new followers
⚠ Context required
2 viral days (Mar 26 + Apr 3) account for ~1,027 of the 4,680 after-period followers. Strip those and the daily baseline is ~67 new followers/day — still 7x better. Both posting frequency and content type changed simultaneously on Mar 18.
Monthly timeline — confirmed
MonthFollowersNetGross followsUnfollowsRetention
January~10,700baseline
February~10,751+511338238.3%
March ← 2x posting starts Mar 18~12,660+1,9092,14523689.0%
April~15,158+2,4982,86736987.1%
May (1–17 confirmed)16,286+52373521271.2%
May slowdown confirmed — retention dropped to 71.2%
May 1–17: 735 gross follows, 212 unfollows, 523 net (71.2% retention). Down significantly from April's 87.1%. Views are still strong (1M+ in 30 days) but fewer viewers are converting to followers. February's 38.3% retention reflects the pre-viral era with a smaller cold audience.
P2Volume vs Rate— reach and efficiency tell different stories
1.1M views · 0.13% convert · 8.3% engage
Volume
Gross follows · 90 days
5,925 follows
how
Instagram Insights → Followers → Follows field, 90-day view. Captured May 11, 2025.
Rate
Conversion rate
0.13%
1 in 770 viewers became followers
how
Calculated: 1,400 net followers ÷ 1,139,468 views. Captured May 11, 2025.
Volume
Views · May 11–17
181,203 views
97.4% non-followers
how
Instagram Insights → Overview → All content → Views, last 7 days. Captured May 18, 2026.
Rate
Engagement rate
8.3%
how
Calculated: 90,811 interactions ÷ 1,139,468 views × 100. Apr 12–May 11. Captured May 11, 2025.
Volume
Interactions · May 11–17
15,515
96.7% from Reels
how
Instagram Insights → Overview → All content → Interactions, last 7 days. Reels 15,000, Stories 34, Posts 1. Captured May 18, 2026.
Rate
Retention · 90 days
84.6%
Industry avg 75–85%
how
Calculated: 1 − (912 unfollows ÷ 5,925 gross follows) = 84.6%. Captured May 11, 2025.
Profile activity · confirmed data
7 days (May 11–17)
Volume
Profile visits
2,262
Critical
Bio link taps
16
0.71% of profile visits
Volume
Address taps
7
30 days (Apr 18–May 17)
Volume
Profile visits
13,306
Critical
Bio link taps
78
0.59% of profile visits
Volume
Address taps
40
Bio link tap rate is 0.59% over 30 days — worse than the 7-day rate
78 clicks from 13,306 profile visits over 30 days. Industry average is 3–5%. This is the single most urgent fix — rewriting the bio CTA could add 300–500 extra website visitors per month with zero extra content.
P3Correlation vs Causation— what actually drove the growth
2 videos = ~1,027 of 5,013 net followers
Mar 25–26
Education journey — UCLA, PhD, Harvard, UCSD, Mayo Clinic · "how many years in school"
3.3M views · 3,200 followers
Apr 2–3
Mom's 90th birthday · "my mom just turned 90 today"
126K views · 1,100 followers
Apr 2–3
Anesthesia appreciation · surgery risks · walking after surgery · Chollbi-Wan Kimobi
cluster · 485 followers
Worst day
AI doctor replacement post
-26 followers
Pattern confirmed
Every high-conversion video: personal professional story + curiosity or emotional hook + accessible to non-patients. The education video alone (3,200 followers) outperformed the entire pre-2x period (333 net in 35 days).
P4Patterns— single points mislead, patterns are more meaningful
Post-viral cooldown continuing in May
Volume
Before 2x · 35 days
+333 net followers
9.5 followers/day avg
Volume
Peak · Mar–Apr
+4,407 net followers
81.6 followers/day avg
Volume
Last 30 days
+1,400 net followers
46.7 followers/day avg
Trend alert — declining through May
Daily follower rate declining since April peak. Profile visits down 64.5%. May 11–17 shows only 151 net followers in 7 days (21.6/day) — lowest rate since pre-viral. The next strong personal video is critical to reverse this.
P5Actions— every metric must connect to a decision
4 act · 2 watch · 1 stop · 1 pending
act now
60% personal professional content. Only type proven to go viral.
act now
Post best content Fri–Sun 9am–12pm PST. Peak follower activity.
act now
Personal videos → "Follow me to see the world of a spine surgeon." Clinical videos → website CTA.
act now
Open with name + credential. Show face in thumbnail. End with personal reason to follow.
watch
May 11–17 net followers only 151 from 181K views — ratio falling. Monitor weekly.
watch
Bio link taps: only 16 of 2,262 profile visitors clicked. Fix profile bio CTA before anything else. See Website tab → P5.
stop
No AI replacement content. Most unfollowed day in 90 days was one AI post.
need data
Shares and saves per post. Strongest signal of deep content resonance.
Detail — Audience
DetailGender & audience breakdown— followers · 30 days
60% Men · 40% Women
Follower gender · Apr 18–May 17
Men
59.8%
Women
40.2%
Nearly 60/40 male skew — different from TikTok's near 50/50
Instagram followers skew more male (59.8%) than TikTok (51%). Spine surgery patients skew female in the general population, so there may be an opportunity to create content that resonates more with women to improve follower-to-patient conversion.
DetailTop cities— before viral vs after viral
Local → Global after March
Before viral spike
San Diego
4.3%
New York
1.8%
Los Angeles
1.7%
Jakarta
0.8%
Chula Vista
0.7%
After viral spike
New York
1.6%
Sydney
1.3%
Melbourne
1.1%
Toronto
1.1%
Excel Spine Dashboards