LinkedIn Content Strategy & Writing Style
Data at Ramp 💳🤖
1 person tracking this creator on ViralBrain
Ian Macomber positions himself as a pragmatic authority at the intersection of enterprise data and the unit economics of AI, moving beyond hype to analyze how intelligence actually hits the balance sheet. His content strategy centers on high-signal observations regarding SaaS pricing shifts, procurement friction, and the transition from seat-based subscriptions to variable, agentic-driven billing. He is notable for leveraging Ramp’s proprietary spend data to provide a macro-economic lens on AI adoption, transforming raw transaction trends into predictive insights about vendor lock-in and model competition. By blending technical engineering recruitment with deep-dive financial analysis, Ian creates a unique intersection where operational data meets strategic foresight, making him a vital voice for leaders navigating the hidden costs of becoming "AI-pilled."
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Some exciting team news I'm proud to share... Ramp Research (Ramp's internal AI-powered research interface) received a well-deserved promotion 🎉🎉! We ask every teammate to drive company-wide impact…
The real question for any data leader building a stack today: will vertical data tools become "the Cursor of data", or will the Cursor of data... just be Cursor [sub in Claude Code, Codex, etc.] If I…
This is the kind of graph/data I've used for every SaaS purchase and renewal I've during my time at Ramp. Now we're sharing it with everyone. https://lnkd.in/eRbFk92u
Wealthfront used to publish a "Career-Launching Companies" list annually: the rocketships with PMF, revenue growth, the ideal places to start and accelerate your career. AFAIK, they haven't put out a…
The incumbent SaaS vendors who survive will be those who make all of their primitives and data models easily accessible via agents. I want to rip-and-replace vendors that require using lots of in-app…
The first time I procured a SaaS vendor, I was flying blind. I didn’t know which tools in the data category to build on, whether the price was fair, or even if I was buying the right thing. When our C…
2.5 posts/week
Posts / Week
3
Total Posts Analyzed
MEDIUM
Posting Frequency
57.4%
Avg Engagement Rate
STABLE
Performance Trend
450
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
0.85/10
Uniqueness Score
NO
Question Usage
0.4%
Response Rate
Writing style breakdown
<start of post>
The era of "seat-based" SaaS is ending faster than the spreadsheets can update.
We just analyzed spend data across 15,000 mid-market companies. The trend is undeniable: companies are trading human seats for AI credits.
Intercom: Moving from flat subscriptions to "Per-AI-Resolution" billing. We've seen some bills jump 4x in a single quarter as adoption scales.
Klarna: Publicly moving away from Salesforce and Workday in favor of internal AI agents.
HubSpot: Layering "Breeze" credits on top of existing tiers.
For the CFO, this is a nightmare. You can't forecast a bill that scales with usage if you don't have a cap on the usage itself. Procurement used to be about negotiating the price per seat. Now, it's about understanding the efficiency of the token.
How good your company is at AI is downstream of how good your company is at managing variable spend.
If you're an engineer building the systems to track this, we're hiring.
Reach out to Ryan Stevens.
<end of post>
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