The moment it happens
Send your best leads to sales straight away
Every contact form message is scored, and the promising ones reach #sales while they're still warm.
- Runs
- The moment it happens
- Apps
- Slack
- AI
- Yes, uses the built-in AI allowance
- Access
- chat:write
Send this to your assistant
Create a ClickRuntime automation: give me a link my contact form can send to. Score each lead from 1 to 10 based on their message and company, and post the ones above 7 to #sales.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
A website contact form brings in everything: a procurement manager asking for a quote for three hundred seats, a student asking about internships, a competitor poking around, and a supplier pitching services. They all land in the same inbox, in order of arrival. The sales rep reading at 4 p.m. treats them equally, and a lead from a ready-to-buy company waits behind spam. Every hour of delay lowers the chance of a reply, and speed matters most with the leads that are best.
When someone submits your form, ClickRuntime receives it and its built-in AI scores the lead using the details they gave, such as company size, budget, the nature of the request and urgency. Hot leads are posted to #sales right away with the score, a one-line reason and the contact details. If you want, every lead also goes to a second channel.
B2B teams with a small sales group and a busy website form benefit most.
What you get out of it
The best leads get answered first
A high-intent request from a large company gets a reply within minutes, because it is shown alone in the channel. Speed of response is one of the strongest factors in whether a lead converts.
Reps stop reading junk
Spam, job seekers and vendor pitches get low scores and stay out of the main channel. Salespeople spend their attention on prospects, and do not need to triage the inbox first.
Scoring is consistent
A person reading forms at the end of a long day judges differently than at 9 a.m. An AI applying the same criteria to each lead removes that variance and makes pipeline numbers easier to compare.
The reason comes with the score
A one-line explanation such as "asked for pricing for 200 users and gave a deadline" lets a rep trust and act on the score instead of re-reading the whole message to understand it.
Marketing learns which sources bring quality
Over time, seeing which campaigns produce hot leads and which produce noise helps decide where to spend, based on lead quality rather than just the number of form fills, which is what actually reaches revenue.
How it works
What happens, step by step
When someone fills in your contact or demo form, ClickRuntime receives the details straight away.
AI reads the company name and message and scores the lead from 1 to 10 for buying intent and fit, with a short reason.
Leads that score above 7 are posted to your sales Slack channel with the name, company, email, score and reason.
Lower-scoring leads are not posted, so the channel stays focused on the ones worth a call today.
Before it runs live
- Connect Slack, then invite the app to the channel (type /invite @ClickRuntime there)
- Paste your automation's link into the other app's webhook settings
What you get
Build your own
Need it to work differently?
Your own rules
Conditions, thresholds, filters and exceptions, written the way you'd explain them to a colleague.
Any number of apps
One automation can read from one app and update several others. Over 248 apps are ready, and anything with an API works too.
AI where it helps
Summaries, classification, extraction and drafts use ClickRuntime's built-in AI, with no extra key.
On a schedule or on each event
Runs as often as every 5 minutes, or the moment an app sends an event, and keeps track of what it already handled.
Changes you can ask for
- Act only on the items that match your own rules, and skip the rest
- Change what the AI looks for, or how it writes the result
- Add another app, for example also send it to Google Sheets
- Combine it with other Slack steps into one automation
Under the hood
The code that runs this automation
from clickruntime import on_event, ai, notify
SCHEMA = {"type": "object", "properties": {"score": {"type": "integer"}, "reason": {"type": "string"}},
"required": ["score", "reason"]}
@on_event
def handle(event):
lead = event.json or {}
result = ai.generate(
f"Score this inbound lead from 1 to 10 for buying intent and fit.\n"
f"Company: {lead.get('company')}\nMessage: {str(lead.get('message', ''))[:1500]}",
json_schema=SCHEMA, max_output_tokens=100,
).json
if result["score"] > 7:
notify.slack(
f"Hot lead ({result['score']}/10): {lead.get('name')} at {lead.get('company')} <{lead.get('email')}>\n"
f"{result['reason']}",
channel="#sales",
)
return {"score": result["score"]}FAQ
Common questions
What does the AI base the score on?
Can the score threshold be set to my own cutoff?
Does the lead data stay private?
What permissions does it need?
Does it need AI?
How many runs does it use?
Can I change how it works?
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