We recently realized we were falling into a classic vanity metric trap. We were getting thousands of visitors hitting our site, the analytics looked amazing, but our calendar was completely empty. Almost no one was actually booking a demo.
It s incredibly frustrating to see all that traffic bounce without taking the next step. I'm wondering who else here has faced this exact same issue?
It feels like there's a massive disconnect between optimizing for eyeballs and actually capturing intent. If you've been in this boat, how did you figure out where the drop-off was happening? Was it a messaging problem, a friction-heavy CTA, or were you just attracting the wrong kind of traffic altogether?
Would love to hear your experiences and how some of you managed to fix the leaks in your funnel.
Naoma AI Demo Agent
@dmitry_zakharov_ai Thank you Dmitry 🙏 Good luck with Naoma too.
AskCodi
Love the idea of moving the sales conversation directly onto the website instead of forcing every interested visitor into a form first. Curious to see how well the intent scoring works on lower-traffic B2B sites. Congrats on the launch!
@shreyans_assistiv Thanks Shreyans. Low traffic is actually where it behaves best, because the scoring is per conversation rather than a model that needs volume to calibrate. Fifty visitors a month is fine, you just get fewer conversations, not worse ones.
The trade-off is you learn slower about your own copy, since fewer people are asking questions.
What kind of monthly numbers are you working with?
1752vc Pitch Deck Analyzer
Congrats team! This is exactly what our site inbound needs - founders ask the same handful of questions all day. Does Widgo learn from the docs we already have, or do we have to write new ones just for it?
@tmaleh_ No new writing needed, Taissa. It crawls your site and reads whatever docs you already have, then answers from those and cites the source so you can check where an answer came from.
The one thing worth doing is a quick pass over the first week of conversations. Repeat questions it can't answer usually mean something is missing from your site, not from Widgo.
What are the handful your founders keep asking?
Macaly
#2 nice 👏 the no-code, feed-it-your-docs setup is the right call. mostly saas sites using it or all kinds?
@petrkovacik Thanks Petr. Mostly B2B SaaS so far, which makes sense since that's who we built it for, but agencies and a few service businesses have shown up too. Anywhere the sale needs a conversation rather than a checkout button.
What's the traffic mix on Macaly like?
An AI sales rep that can answer questions, understand intent, and help book demos feels like a natural evolution of how websites should work. Curious to see how teams measure the impact over time, especially improvements in conversion rates and qualified leads.
@sshreeey Good question Shrey. The honest bit is that chat impact is easy to dress up, so we keep the report to numbers you can check against your CRM: companies identified, conversations, qualified leads, demos booked.
The one customers find most telling is form fills before vs after. If demos go up while form fills stay flat, the widget is catching people who would have left silently instead of stealing credit from your existing funnel.
Which of those would you want to see on day one?
@sshreeey The number we watch internally is companies identified that never filled a form. That one is the whole argument for this category, everything else follows from it.
Bond
Really like the idea of turning passive website traffic into actual conversations instead of just another analytics dashboard. The qualification + booking flow especially feels like a strong combo. Curious how much control you give teams over the qualification criteria and scoring? Congrats on the launch!
@bondathan Thanks Jonathan 🙏 "Another analytics dashboard" is exactly what we didn't want to build.
On control: Widgo drafts the criteria from your own site during setup, then it's yours to edit. Company size, region, use case, whatever matters to you, plus the weight each one carries and the score threshold that unlocks the booking link. Nothing books below the line you set.
How does Bond handle qualification today, manual or scored?
Dial
The intent scoring 0-100 is the part that stands out to me - most of these AI chat widgets just answer questions and stop there, but actually ranking visitors so sales knows who to call first is the real value. Curious how it handles false positives, like a competitor or job candidate poking around the docs and scoring high by mistake. Following to see how the calendar-booking mid-conversation piece works in practice.
@galdayan Sharp question Gal 🙏
Fit and intent are scored separately, which handles most of it. A job candidate reading docs has intent but no fit, so they never rank high. Competitors are the trickier case, we resolve the company first so known domains can be excluded outright, and asking pointed feature comparison questions with no buying signals scores differently from a real evaluation.
It won't be perfect, so the full transcript sits next to the score. Your rep sees why someone ranked before picking up the phone.
Dial
@doganakbulut that resolve-the-company-first step is the key move imo - most tools try to fix this with more prompt engineering on the scoring model itself, but you're fixing it upstream in the data instead. keeping the transcript next to the score is the right call too, a bare number with no way to audit it would make reps distrust it fast. will report back once I've actually run it against a week of real traffic.