Use-case scenarios

The leads that used to go cold, and how to catch them

The pattern is almost always the same: a website getting traffic at hours nobody was watching, with enquiries that went cold before morning. Here are the three setups we see most often, and the signals that tell you which one you have.

These are scenarios, not customer quotes

Every story below is an illustrative scenario built from the problems teams bring to us. They are written to show how Botawk is typically configured — not to report results from named customers. We do not publish invented numbers or testimonials, so nothing here should be read as a performance claim. Your outcome will depend on your traffic, your content, and how you configure the bot.

How teams configure it

Three common scenarios

The shapes of problem Botawk is built to solve, and the setup each one implies.

SaaS team

Trial signups stopped going cold overnight

The problem
A B2B SaaS product with strong organic traffic and a sales team that only worked business hours. Pricing and integration questions piled up overnight, and by the time anyone replied the prospect had already booked a demo with a competitor.
What they changed
The bot was pointed at the pricing page and docs. It answered the ten most common integration and pricing questions, then qualified trial intent by team size before offering a demo slot through Calendly.
The outcome
Sales opens the morning to leads that have already self-qualified, with the context of what the visitor actually asked.

You'll see this pattern when

  • Visits pricing without booking
  • Asks 3+ pricing questions
  • Returns after hours
Discuss your situation
E-commerce

Out-of-hours shoppers stopped disappearing

The problem
A store with meaningful evening and weekend traffic where sizing, shipping, and returns questions could not be answered until the next morning. Cart abandonment clustered exactly in the hours nobody was online.
What they changed
Proactive chat was enabled with a short delay, and the bot was fed the shipping and returns policy so it answered from the site content. When someone showed buying intent it asked for an email to hold their place.
The outcome
Evening and weekend traffic gets the same attention as a staffed counter, and recovered carts land in the dashboard as leads.

You'll see this pattern when

  • Evening or weekend sessions
  • Product page with no contact option
  • Cart abandonment off-hours
Discuss your situation
Agency

Fewer calls, better-fit briefs

The problem
An agency taking on new projects every month, drowning in low-quality enquiries and spending the first call of every new project on finding out budget and scope.
What they changed
The intake conversation was configured to establish budget, timeline, and project type before a human replied, and every qualified lead was pushed to Slack and their CRM through a webhook.
The outcome
The first call became a scoping conversation rather than a qualifying conversation, because the basics were already on the record.

You'll see this pattern when

  • Repeat form submissions
  • Budget questions before the call
  • Specs needed repeatedly
Discuss your situation

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