100-ticket audit
$0lead-gen
- Intent map
- Issue volume breakdown
- Draft automation opportunities
- Top policy gaps
Pricing
Start with a concrete outcome, then expand workflow coverage.
For early traction, pricing should feel like a clear service-backed win, not an abstract enterprise automation license.
Best first offer
Analyze 100 historical tickets for free
What comes in
Policies, ticket samples, and order context.
What goes back
Workflow opportunities, risk flags, and rollout advice.
Why it converts
It is more believable than selling a big platform seat first.
Monthly AI reply plus ops summary
$199/month
- 1,000 ticket review scope
- Reply drafts and risk labels
- Daily or weekly summary
- Human approval workflow
Multi-store workflow package
$599+/month
- Multiple stores or queues
- Approval routing layers
- Custom workflow tuning
- Operator review sessions
| Plan | Ideal for | Includes |
|---|---|---|
| Audit | Founders proving demand | Free 100-ticket analysis and recommendations |
| Starter | One brand with a busy queue | Reply drafts, labels, summaries, basic approvals |
| Ops team | Agencies, BPOs, or multi-store groups | More playbooks, more approval layers, more reporting |
What buyers are actually paying for
- A clearer draft-and-approval flow for repetitive support issues
- Faster triage around shipping, returns, and review recovery
- Manager-readable summaries instead of manual queue inspection
- A safer human-in-the-loop rollout for sensitive customer actions
Why the first offer stays narrow
- It keeps the promise measurable
- It avoids pretending SparkWren replaces the whole support stack on day one
- It lets the website stay honest about the current product scope
- It gives buyers a believable low-friction entry point
What the first purchase maps to
Early pricing should align with a specific workflow, not a vague platform seat.
Shipping delay workflow
Good when the queue is dominated by WISMO, late tracking updates, and customer anxiety around delivery promises.
Refund routing workflow
Good when policy edge cases, manual judgment, and compensation risk are hurting consistency.
Daily ops summary workflow
Good when founders or managers need to understand queue health and issue clusters without reviewing every ticket.
Common questions
Pricing only works if the rollout model is believable.
Do we need deep integrations first?
No. The current product story starts with exported policies, tickets, orders, and tracking data so teams can validate a workflow quickly.
Does SparkWren auto-refund customers?
No. The pricing and trust model assumes human approval for refunds, credits, and other sensitive decisions.
What expands after the pilot?
Usually another workflow, another queue, or a manager summary layer. Expansion follows adjacent use cases, not a sudden platform-wide rollout.