Status: Active analysis (pre-launch)
Current Pricing Model
Flat-rate per-workspace, no per-resolution fees, no AI credit meters, no contact limits. Seats + tier only.
| Tier | Price | Agents | Key Features |
|---|---|---|---|
| Free | $0/mo | 2 | Basic chat, 100 conversations/month, "Powered by SupportWire" branding |
| Starter | $49/mo | 5 | Unlimited conversations, knowledge base, contact forms, basic analytics |
| Pro | $149/mo | 15 | AI chatbot, status page, changelog, feedback portal, CSAT/NPS, branding removal |
| Scale | $349/mo | Unlimited | Unlimited AI, white-label, advanced analytics, priority support |
Philosophy: "No per-resolution fees. No AI credit meters. No contact limits. You pay for seats. That's it."
What's Working
- Anti-Intercom positioning is the sharpest knife. "Your bill stays boring" directly attacks the #1 and #2 Intercom complaints: pricing complexity and billing shock ($0.99/resolution × 2,000 = $1,980/month in surprise charges).
- No-overages policy and soft blocks address auto-renewal traps.
- Pro tier as bundle play replaces $200-400/month in fragmented tools (status page, knowledge base, feedback portal, chat).
Problems Identified (via Gokul Rajaram Frameworks)
1. Seat-pricing a "work product"
Gokul: "Seat pricing breaks when the product's core value is not about access but about doing work on your behalf." SupportWire's AI resolves tickets — that's work, not access. The most valuable differentiator (AI doing the work) is completely unmonetized. When AI resolves 2,000 tickets replacing 2 human agents ($6K+/month salary), we charge $149.
Risk: Flat NRR. No natural expansion revenue. Gokul's #1 indicator of business quality is NRR.
2. Single pricing lever
Only dimension: seats × tier. When customers negotiate, price can only go down. No second vector to trade against. (Gokul's Pricing Levers framework.)
3. Prices are too low
10x Rule: Pro replacing $200-400/month in tools + labor savings → $149 is 2-3x value, not 10x. Room to charge $199-249 and still be a no-brainer. "Raise prices until customers start negotiating. If they never negotiate, you are leaving money on the table."
4. Free tier too tight for viral loop
100 conversations/month chokes the "Powered by SupportWire" viral mechanism. Startups hit 100 in week two, churn before seeing value, and viral impressions are lost. Should be 250-300.
5. Starter → Pro gap loses growing companies
$49 → $149 is a 3x jump at the exact moment startups need AI chatbot + CSAT but can't justify $149. Need a bridge tier.
Recommended Changes
| Change | Rationale |
|---|---|
| Raise Pro to $199 | Still replaces $400+ in tools. 2x savings is plenty. Tests "raise until they negotiate." |
| Raise Scale to $499 | Unlimited AI doing unlimited work for $349 is underpriced. White-label customers have budget. |
| Add $99 Growth tier (10 agents) | Bridges Starter→Pro. AI chatbot + knowledge base. |
| Bump Free to 250 conversations | Longer trial, more "Powered by" viral impressions. |
| Build second pricing lever as NEW PRODUCT | Not usage fees (kills positioning). Premium add-on: dedicated AI training, custom integrations, SLA guarantees. |
| FeatureOS + SupportWire bundle | Gokul's "compound or die." Counter pricing pressure with cross-product bundle that increases retention. |
Bottom Line
Structure is right. Philosophy is right. Prices too low, free tier too tight, gap in the middle, need a second pricing lever that isn't per-resolution. Biggest strategic risk: flat NRR with no expansion mechanism.