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Lioran Pinchevski ✓

@Lioranpi

Running @FinaloopTeam. Accounting service, inventory management & AI data analytics for consumer brands | Exited a DTC health brand | ex-Partner @PwC M&A group

1 980Followers
261Following
1 914Posts total
176.8KViews on collected posts

Latest posts

@Lioranpi Margins 1.4K views · 8 likes · 4 reposts · 1 replies Open on X →
6/ In Finaloop, this engine is part of a broader financial operating system. This is our bread and butter. Our team uses it to deliver real-time accounting and audited financial reports, inventory management and data analytics to our customers, including some of the largest 391 views · 3 likes · 1 reposts · 0 replies Open on X →
4/ AI raised the stakes. Founders point and shoot their raw data at AI and use that to plan their next big inventory purchase or decide on Q4’s ad spend. But AI answers based on a bunch of disconnected, overlapping systems: Shopify, Payments processors, Meta, Amazon, 3PL, EDI, 389 views · 4 likes · 0 reposts · 2 replies Open on X →
5 / Margins gives other consumer brands access to Finaloop’s reconciled data layer, even if they’re not yet on Finaloop accounting. Connect your data sources and get live data across sales, finance, inventory and marketing. Every number traces back to its source. 395 views · 4 likes · 0 reposts · 1 replies Open on X →
2/ Finaloop was never just about accounting. I was a Big4 partner. I was running a DTC brand. And I still couldn’t get a straight answer from my own numbers until 15 days after the month was over. I started Finaloop to solve this. The goal: Create one picture showing what's 487 views · 5 likes · 0 reposts · 1 replies Open on X →
3/ Approximate numbers can be more dangerous than no numbers. They give you comfort without clarity. That’s where bad decisions start. 403 views · 3 likes · 0 reposts · 1 replies Open on X →
1/ Everyone's building dashboards, inventory and operations agents, and AI data analysts on top of a broken data foundation. The problem is that the underlying data is all based on overlapping sources that were never reconciled. Confident answers on bad data, at scale. That's 616 views · 5 likes · 0 reposts · 1 replies Open on X →
Today we launch Margins, a financial infra and analytics suite that feeds your and your agents’ day to day. Margins is the first fully-reconciled data layer built for consumer brands. It connects to all your data sources, including Shopify, Amazon, Payments processors, Meta, htt
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172.7K views · 74 likes · 25 reposts · 59 replies Open on X →

Against accounts of the same size

8 posts from the last 90 days, next to the under 10K follower range. below its peers on both reach and engagement.

Median views445this account4 175median for under 10K
Reach, %22.47%this account250.82%median for under 10K
Engagement, %1.01%this account1.41%median for under 10K
MetricThis accountMedian for under 10KRatio
Median views per post4454 1750.11×
Reach (views ÷ followers)22.47%2.5× audience0.09×
Engagement rate1.01%1.41%0.72×

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

172.7K15 Sep
616
403
487
395
389
391
1.4K

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

0.11%15 Sep
0.97%
0.99%
1.23%
1.27%
1.54%
1.02%
0.92%

Reactions — likes, reposts, replies and quotes — divided by views. Median for under 10K accounts is 1.41%.

What the audience does

Likes40.8%106 in total
Reposts11.5%30 in total
Replies25.4%66 in total
Quotes10.8%28 in total
Bookmarks11.5%30 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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