Welcome back to Good Better Best.
Each week, we break down real pricing, packaging, and product moves from SaaS and AI leaders and share the ideas worth stealing.
Today we're rounding up four moves from the past week from Clay, Datadog, Front, and Monday.com — breaking down what changed, what it signals, and why it matters.
Before we get there, we’ve got two virtual events on the calendar next week:
PricingSaaS Office Hours: Next Thursday, we've got a great session lined up with Ulrik Lehrskov-Schmidt, CEO of Willingness To Pay. We'll be digging into AI usage pricing (think MCPs, Fair Use, and Unlimited plans). Grab your seat →
State of SaaS Pricing 2026: Next Wednesday I'm joining Pat Doran, Managing Director of Pricing at SBI, to discuss the State of SaaS Pricing. We’ll pair SBI’s survey of 350+ pricing owners with real-time data from PricingSaaS to highlight what works in monetization right now. Save your spot →
Let’s get to it.
🔌 PricingSaaS Partners power the next era of SaaS pricing
This Week in Pricing, Packaging, and Product
This week we observed 150+ changes. The highlights:
Clay made ad audiences unlimited on Enterprise [Link]
Datadog added AI Credits and a new SKU [Link]
Monday.com introduced AI capability tiers per plan [Link]
Typeform added a new plan [Link]
Google Cloud revealed AI Commerce Search pricing [Link]
Front put a public price on its Autopilot AI agent [Link]
Replit bundled AI Integrations into its Core plan [Link]
Atomicwork added an outcome-based pricing option [Link]
Intercom deepened its Early Stage discount to 93% [Link]
Runway quadrupled Max-plan credits to 9,500 per month [Link]
Check out more updates on PricingSaaS →
PricingSaaS Pulse Intelligence
Here’s what was top of mind in Pulse this week:
🔥 Hot Companies
Notion
Linear
Competera
Klue
Smartsheet
🚨 Hot Topics
Credits vs. seats: per-user vs. usage-based pricing model decisions
Price increases: how to raise prices, announce changes, and retain customers
Pricing AI features: margin protection, tier-gating, MCP and agent monetization
Willingness-to-pay research: methods, Van Westendorp, conjoint analysis
Trial vs. freemium: consumer and indie app subscription pricing
The Roundup: Six Moves and Why They Matter
Clay made Ad Audiences unlimited on Enterprise
What changed. Clay's Enterprise plan moved Ad Audiences from 2 included (and more via a paid add-on) to Unlimited, removing the add-on upsell entirely.
The signal. Clay is reducing friction for the Ads product. They still have a 1 Ad Audience cap on the Growth plan, but loosening the Enterprise cap signals they’re going for adoption over near-term add-on revenue. It wouldn’t be surprising to see the cap on Growth increase in the coming weeks to drive adoption further.
Why it matters. Paid Ad campaign orchestration is a powerful addition to the outbound strategies Clay is already powering. Driving more adoption would make their product even stickier, and help strengthen their orchestration narrative. Further, giving away audiences will likely pay for itself. Clay monetizes enrichment credits (at a lower margin than enrichment credits, but still a markup), and every audience is populated by enriched records. Unlimited audiences removes a small secondary fee to drive more consumption of the primary credit engine.
Datadog’s introduced AI Credits
What changed. Datadog added AI Credits to its pricing page as a new metered currency. $500 buys 500 credits on an annual commit, with on-demand usage around $1.30 per credit.
The signal. Previously, Datadog charged $25 per investigation for its Bits AI agent. Credits let them charge for other actions as well, including chat queries, code analysis, and agent-built workflows. That widens what's billable from a single outcome to its full AI product line, and the structure (bundles, no rollover, automatic overage) extends to whatever Datadog adds next.
Why it matters. Publicly listing a credit currency normalizes AI-credit billing for the whole category, and gives Datadog a dial it can tune on the back end as model costs move. Today, credits buy only the Bits AI family while two dozen other products keep their per-unit meters. The real question is how far this new credit model travels.
Monday.com clarified AI Tiers for each plan
What changed. Monday introduced AI Tiers, with each plan getting a specific number of tools and credits.
Basic plan gets Basic AI (3 tools, 1,000 credits/mo)
Standard plan gets Advanced AI (5 tools, 2,000 credits/mo)
Premium gets Premium AI (6 tools, 3,000 credits/mo)
Enterprise plan gets Enterprise AI (6 tools, 20,000 credits/mo)
They also removed the AI Notetaker from the Basic plan, gating it for Standard customers.
The signal. AI has become the primary packaging axis across Monday’s plans, and these bundles clarify the capabilities and consumption customers get with each plan.
Why it matters. Monday is running two-axis AI monetization, using capabilities (Tools) as the primary differentiator between lower tiers, and consumption (AI Credits) as the key differentiator between higher tiers. It’s the same hybrid playbook as legacy SaaS before AI. Most legacy SaaS companies are trying to figure out how to do it with AI, and Monday’s AI Tiers are a customer-friendly example of this model at work.
Front changed from “per resolution” to “per conversation”
What changed. Front's Autopilot AI add-on went from "Contact us for pricing" to a public starting price of $0.05 per conversation — and shifted its meter from the earlier $0.89 per resolution to a per-conversation model.
The signal. Public usage pricing for AI agents is becoming table stakes in customer support, and a low, transparent per-conversation rate lowers the barrier to trying it.
Why it matters. Moving from a rare, expensive event (a successful resolution) to a frequent, cheap one (any conversation the agent engages) broadens the billing base and can grow revenue while presenting a smaller sticker price. It’s also worth trying another metric when competitors are all converging around “per resolution.”
Thanks for reading! If you’re working on AI monetization and want to learn more about how we help, book time here.
Until next time,
Rob