Lillian 🚀 Fractional CMO for tech startups

@Strategy_Gal · joined 20 Oct 2012

Fractional CMO & Growth Partner for Tech Startups ✱ LinkedIn AI Marketing Instructor ✱ Trained 2M+ Worldwide ✱ Trusted by 30% of Fortune 10 ✱ Author & AI Agent

125 228Followers

62 547Following

62 025Posts total

12.6KViews on collected posts

Against accounts of the same size

6 posts from the last 90 days, next to the 100K–1M follower range. below its peers on both reach and engagement.

Median views728this account4 404median for 100K–1M

Reach, %0.58%this account1.84%median for 100K–1M

Engagement, %0.40%this account1.47%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	728	4 404	0.17×
Reach (views ÷ followers)	0.58%	1.84%	0.32×
Engagement rate	0.40%	1.47%	0.27×

Others in this range → Compare with another account → How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

9.3K25 Jun

138 Aug

94431 Aug

7861 Sep

8632 Sep

6693 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.95%25 Jun

0.00%8 Aug

0.64%31 Aug

0.00%

0.13%1 Sep

15.38%

0.35%2 Sep

0.45%3 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.47%.

What the audience does

Likes67.6%75 in total

Reposts11.7%13 in total

Replies12.6%14 in total

Quotes0.9%1 in total

Bookmarks7.2%8 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Latest posts

Your real moat in an AI world is embarrassingly boring, and that's why almost nobody builds it. Clean data. A razor-clear ICP. A real point of view. Everyone runs the same models now, so the edge belongs to whoever has the better inputs. The good news: you control all of it. Win 669 views · 2 likes · 1 reposts · 0 replies 03 Sep 2026 Five AI tools replace a five-thousand-dollar market-research retainer, and you can start today. Perplexity for fast market scans. Claude for synthesis. Google Alerts for competitor monitoring. Reddit and LinkedIn for raw customer language. And Fathom to mine your own sales calls. 863 views · 2 likes · 0 reposts · 1 replies 02 Sep 2026 @Strategy_Gal Agree. Signal-based has maybe 18 months before “personalized” is just as cheap. Then the signal is that you actually knew the person. 13 views · 1 likes · 0 reposts · 1 replies 01 Sep 2026 Let's be honest about your "AI stack." It's a junk drawer. An automation does one task. A system compounds across many. Most stacks are piles of disconnected automations sitting side by side, praying they add up. They don't. The leverage is in how Data, Intelligence, Workflow, Di 786 views · 1 likes · 0 reposts · 0 replies 01 Sep 2026 @Strategy_Gal Cold spray-and-pray replies at 5%. Contextual outbound clears 40%. The channel never died, the laziness did. 6 views · 0 likes · 0 reposts · 0 replies 31 Aug 2026 "The truth is..." "Outbound is dead" is lazy advice. Don’t get me wrong, “bad outbound” earned its grave. Signal-based outbound that’s tied to real buyer context works better than ever. The spray-and-pray stuff that AI made cheap to mass-produce is what died. So keep outbound 944 views · 4 likes · 0 reposts · 2 replies 31 Aug 2026 @Strategy_Gal @ElenaVerna Spot on! 🚀 AI is definitely the buzzword that's opening doors, but it's the real innovation behind it that drives success. At Nexus, we're not just talking AI—we're enabling it to transform industries. 13 views · 0 likes · 0 reposts · 0 replies 08 Aug 2024 What’s the magic word? #GenAI #LLMs or just plain #Ai? Image credit: @ElenaVerna https://t.co/aEsUSmy4EM 9.3K views · 65 likes · 12 reposts · 10 replies 25 Jun 2024