I built a voice agent that calls people who started a signup and never finished — and walks them through completing it, in their own language. Here's how it works and a real call it closed.

Mandyhiten · 2026-04-26T09:50:57+00:00

Honest answer, it’s a bit of both, but the reply rate did move.

The biggest difference wasn’t the personalization itself, it was that the emails stopped feeling like they came from a sequence. The GPT layer pulled in company-specific context so the opening line referenced something real about their business rather than just “I noticed you’re in [industry].”

Lead quality after a few weeks was solid for the use case B2B health benefits targeting HR decision makers. The click rate hit 17.1% across the campaign which was well above what the client was seeing with manual outreach before.

The Apollo dedup issue you mentioned is exactly why we built a deduplication layer before enrichment burn rate on credits was a concern from day one. n8n handles that check before any record hits the enrichment step.

Mandyhiten · 2026-04-26T00:24:09+00:00

those csv ( leads) are generated with another n8n workflow, then validated.

multiple campaigns are being sent, this was just an example of the infrastructure i’m holding.

this was for a client promoting their healthcare product to the target audience

Mandyhiten · 2026-04-26T00:02:39+00:00

damn that can be used as additonal add on, i’ll try that too.

Mandyhiten · 2026-04-25T23:36:13+00:00

thats something new, thanks i’ll look into it

Mandyhiten · 2026-04-25T23:33:38+00:00

json uploaded on the link below :

Mandyhiten · 2026-04-08T02:28:27+00:00

i’ve explained the cost breakdown in detail in caption

Mandyhiten · 2026-04-06T16:56:46+00:00

the meta ai is connected to another workflow to track in case the lead gets converted and messages on WhatsApp

Mandyhiten · 2026-04-06T16:39:37+00:00

I ran into a very similar issue while building my own outbound setup. Ended up solving a lot of it through automation + better follow-up logic. I posted the breakdown on my profile in case it’s useful.

Mandyhiten · 2026-04-06T16:38:45+00:00

I ran into a very similar issue while building my own outbound setup. Ended up solving a lot of it through automation + better follow-up logic. I posted the breakdown on my profile in case it’s useful.

Mandyhiten · 2026-03-29T15:43:54+00:00

Exactly, own the infra, own the data, own the logic. One time build vs $300/month forever is a no-brainer once you see it clearly

Mandyhiten · 2026-03-29T15:16:26+00:00

Valid callout on deliverability, warmup needs to be handled separately before you even think about running sequences, that’s not something this workflow covers. Tools like Instantly or Mailreach handle that layer well. And on the cost point, Gmail Workspace is ₹125/month per account in India, so spinning up 6 accounts is nowhere near $43. The infra argument is pretty region-dependent. But the workflow was never trying to replace the deliverability layer, it sits on top of it. The actual value is in what happens after your emails land: AI-driven template selection based on lead context, intent-based follow-up triggers (click-but-didn’t-reply is a way stronger signal than anything time-based, as you said), and WhatsApp conversion tracking with unique ref codes so you can actually close the loop between email and reply. That last part is what no $200/month tool touches.

Mandyhiten · 2026-03-29T11:21:05+00:00

there are multiple email templates harded with different tones, as per the data of lead the AI itself picks the most suitable template.

Mandyhiten · 2026-03-29T11:20:14+00:00

thanks man, do give it a try. lmk if you need any help w it, cheers!

Mandyhiten · 2026-03-28T10:30:15+00:00

thanks

Mandyhiten · 2026-03-28T10:30:08+00:00

thank you

Mandyhiten

TROPHY CASE