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Lindsay Casale ✓

@LindsayCasale · Santa Cruz, CA · joined 10 Apr 2009

Fractional CMO for tech startups. Building + scaling GTM from zero. Prev @salesforce, @sofi + led marketing at 3 venture-backed crypto/AI startups.

17 935Followers
1 518Following
3 586Posts total
1.8MViews on collected posts

Latest posts

So many Web3 teams want to reach AI developers IRL, but still only invest in the crypto conference circuit. I'm building out a list of the best AI-focused conferences/side events for my clients, and will also post it back here. Reply with your best recommendations. 468 views · 11 likes · 0 reposts · 1 replies Open on X →
My job history by life stage: -Kid/elementary school: Entrepreneur (door-to-door video rentals, babysitting, lemonade stands) -Teen/high school: Insurance office admin -Young adult/college: Fitness club admin, journalist -Adult/college graduate: marketing in health tech + 630 views · 15 likes · 0 reposts · 1 replies Open on X →
Ironically, the best thing you can do for your productivity is take more breaks. Try it and tell me I'm wrong. https://t.co/6TcbfLdnZR
649 views · 23 likes · 0 reposts · 3 replies Open on X →
@LindsayCasale You are not gonna watch 1000 short vids of candidates, you are forcing introverts to be content creators lmaoooooo 😂 70 views · 3 likes · 0 reposts · 1 replies Open on X →
@LindsayCasale It's very company specific. I have seen the hiring process spectrum but most companies will not put the effort and discipline in place to have a great hiring process. The best candidates will not submit a short video introducing yourself and background. We had a c 117 views · 3 likes · 0 reposts · 1 replies Open on X →
@LindsayCasale hiring markets 76 views · 4 likes · 0 reposts · 0 replies Open on X →
Can we all agree we need to disrupt the hiring process? It's painful for candidates and hiring managers, screening methods are archaic, and some of the best candidates slip through the cracks. There has to be a better way to attract the best candidates and deter the rest. 4.7K views · 64 likes · 3 reposts · 20 replies Open on X →
@LindsayCasale This article was very helpful. As an incoming graduate also navigating a career change, I’ve been hearing more people getting success through referrals and internal introductions. Will definitely utilize this strategy. Thank you Lindsay! 23.9K views · 11 likes · 0 reposts · 1 replies Open on X →
@LindsayCasale So we should all just become neets? 741 views · 22 likes · 0 reposts · 1 replies Open on X →
@LindsayCasale Amazing article. I agree with everything 9.9K views · 14 likes · 0 reposts · 1 replies Open on X →
https://t.co/WW2UGWXIhk 1.7M views · 2.3K likes · 213 reposts · 93 replies Open on X →

Against accounts of the same size

7 posts from the last 90 days, next to the 10K–100K follower range. reaches fewer people than peers, but engages them much harder.

Median views468this account924median for 10K–100K
Reach, %2.61%this account3.62%median for 10K–100K
Engagement, %3.42%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post4689240.51×
Reach (views ÷ followers)2.61%3.62%0.72×
Engagement rate3.42%1.52%2.25×

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

1.7M25 Feb
9.9K26 Feb
741
23.9K
4.7K28 Aug
76
117
70
6494 Sep
6308 Sep
4689 Sep

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.15%25 Feb
0.15%26 Feb
3.10%
0.05%
1.83%28 Aug
5.26%
3.42%
5.71%
4.01%4 Sep
2.54%8 Sep
2.56%9 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes27.2%2 488 in total
Reposts2.4%216 in total
Replies1.3%123 in total
Bookmarks69.1%6 311 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.

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