Use cases, by job
AI lead qualification: answer every inbound lead in minutes and route the right ones to you
Inbound lead qualification means replying to people who contacted you, finding out whether they fit and passing the good ones to a person fast. Sellinger runs it on live chat, WhatsApp, Instagram, Messenger and email, with goals and rules you can read below. At Hotel Pirin, a related party, the reservations agent answered guests in a median of 41 seconds.
Published by Sellinger AI. Numbers and settings checked on 19 October 2026 against the fact register. Report an error.
- inbound goals in the goal library, plus 6 qualify and convert goals
- 6
- median first reply to a guest, over 54 guest inquiries (Hotel Pirin, related party, to 11 October 2026)
- 41 s
- share of the reservations agent's replies that carried a price, before and after the quote rule (9 of 18, then 33 of 36)
- 50% to 92%
- reservations created by the agent itself. People closed the bookings
- 0
Who has this job
A founder who gets website chats at night, a sales team with a form that lands in a shared inbox, a hotel whose guests write on Messenger. If an inquiry waits for hours, the person has usually moved on. This use case is the same job each time: reply first, ask the right question, decide who takes over.
How Sellinger runs it in four steps
- 1
Step 1
Reply within minutes
Goal: "Respond to every inbound inquiry within 5 minutes, classify intent, and route it to the right sequence or team member."
- 2
Step 2
Qualify in conversation
Goal: "Qualify inbound interest on budget, authority, need, and timeline. Convert qualified leads to demos and route the rest to nurture."
- 3
Step 3
Escalate to a person
Goal: "Escalate to a human immediately on budget, contract, or procurement discussion, frustration language, or six exchanges with no clear next step."
- 4
Step 4
Capture the contact
Goal: "If a meeting is not possible, capture the lead's email or phone number and their main pain point so a human can follow up."
The rule pack called Inbound Lead Handling sets what the agent answers and what it leaves alone. It includes genuine product inquiries and replies to conversations you started. It excludes auto replies, out of office messages, newsletters and spam. And it marks as needs attention: complaints from existing customers, VIPs, urgent requests, refund requests, people asking about jobs, and large deals.
An example exchange
| Who | Message |
|---|---|
| Visitor on live chat, 21:40 | Do you integrate with HubSpot, and what does it cost for three people? |
| Agent, 21:40 | Yes, the HubSpot sync is two way. Pricing depends on the channels, so which ones would you start with, LinkedIn, email or both? |
| Visitor | Both. We are three reps and mostly want meetings booked. |
| Agent | Then the Outbound bundle is the closest fit. Can I put you down for a 15 minute call tomorrow, Wednesday at 10:00 or 14:00? |
Channels
Live chat, WhatsApp, Instagram, Messenger and email can all be inbound channels, and every conversation lands in one inbox next to LinkedIn. On WhatsApp the agent answers people who write first and, separately, can send first messages at a small daily volume. See the live chat, WhatsApp and Instagram pages.
One result, with its limits
Hotel Pirin is owned by a co-founder of Sellinger, so this is an operator's own result and not independent proof. Its reservations agent answered 54 guest inquiries in a median of 41 seconds (Messenger 12 seconds, email 49 seconds), and 122 of 123 agent answers to a guest came within 2 minutes. After a rule to quote as soon as it had the dates and party, 33 of 36 replies carried a price. It created no reservation. Staff answered group requests in a median of almost 4 hours, so the handoff to a person was the slow part. Read the guest inquiry playbook.
Common questions
What counts as a qualified inbound lead?
Can the agent stay out of support and spam?
Will it answer in my language?
Does it book meetings?
Sources and method
Goal text from the goal library in the product (counted 19 October 2026). Rule pack from the rule templates. Hotel Pirin figures from the case study, a related party, data to 11 October 2026.
Related: speed to lead for ad leads, book sales meetings, live chat agent, Hotel Pirin case study.