Hey everyone, Got a client in the B2B professional services space. They've given me a detailed ICP — specific industries, company sizes, geographies, and the exact personas/job titles they want to target (think Owners, Principals, Directors of Engineering, Solo consultants, Project Managers — that kind of decision-maker level). They want those leads automatically scraped and loaded into their CRM with these fields populated: Company name, website, company size, primary service domain, key contact name, contact title, email address, LinkedIn profile URL, phone number, qualification score, current status, and notes. They've specifically suggested using **LinkedIn Sales Navigator, Apollo.io, Lusha, and UpLead** as the tools to get this data. My questions: 1. Pipeline — how would you structure this? Given those four tools, what's the most sensible way to chain them together? Do you use one as primary and the others as fallback when data is missing, or do you run them in parallel? What does the actual flow look like from "search for contacts matching ICP" to "contact sitting in CRM with all fields filled"? 2. Monthly cost — how do I estimate this for the client? This is where I'm stuck. The client will be paying for the tools directly once I deploy. How do I give them a realistic monthly running cost? Each tool has its own credit system and the actual spend depends on how many contacts you're pulling and how many fields you need revealed. Has anyone worked out a rough cost-per-lead across these tools? Even a ballpark would help — like "for X leads a month expect to spend around $Y across these tools." Any input from people who've worked with these tools appreciated.

Hey everyone. I just landed with my first client who wants to make outbound calls to the cold and warm leads in hia CRM. He has requirement of a AI sales agent. I gahthered all the details like their business, the flow, intent, etc. The agent needs to qualify leads and book into CRM. He said to send him a proposal but I've some queries before that: 1. What platform to choose that would be best for him as oer cost and efficiency. 2. How should I charge him, like how can I calculate his spendings and accordingly my margin ? 3. What to include in the proposal, that will increase chances of him getting onboarded ? Also he wants a real time dashboard for his work too. I would highly appreciate your help. Thanks you @Nate herk Ai @Nate Herk @Nate Herk @Nate Herkelman and all

We're pre-revenue team building Al voice agents for service businesses starting with plumbers. I need help related to: 1. Plumbing is mostly emergencies (burst pipes, floods, no heat/water at 3am). Customers want immediate service, not "schedule for Tuesday." The real concern is are we at the wrong track with scheduling jobs? If so then how emergency triage is handled ? 2. We're really struggling with getting our first client please provide any suggestions of how can we get our first clients for voice agents. This first stroke of hammer would help us a lot reaching the clients and actually get started A little help from the experts here who are in the market would help us a lot and I'd highly appreciate this.

I’m trying to call US leads from India, but you already know the struggle… Most calling tools are either banned / restricted, or they get you flagged instantly. I tried Rebtel recently and to my surprise, all 20 calls I made went straight to voicemail after just 3 rings. Now I’m thinking maybe my number is getting flagged on the other end (spam detection / carrier filtering). The problem is… I’m bootstrapped right now, so I can’t afford expensive calling software yet. So I wanted to ask the community: ✅ What tools are you using to call US clients from India that actually connects properly and doesn’t get flagged? Looking for something reliable + budget-friendly (even if it’s a simple setup). Drop your recommendation and your experience. If you’ve cracked this, I’d seriously appreciate your help, Thankyou friend.

Hey guys. I’m about to onboard my first AI Calling Agent client and I want to price it correctly without making any fake ROI promises. Here’s the situation: This business owner estimates missed calls are costing him ~$113k/year in lost bookings. I’m building an AI agent that answers calls and handles book/reschedule/cancel/check availability using n8n, with voice on ElevenLabs. I’m thinking of charging something like $500/month (so $6k/year), it's a guess honestly. Even if we recover only a portion of the missed revenue (say 50%–75%), the ROI is still massive on paper. But I don’t want to pitch “you’ll get $113k back” and then reality hits: partial retention, no-shows, seasonality, plus monthly tool costs. Neither the retention percentage nor the monthly cost are confident. So I need your help Guys: 1. How do you track ROI properly for calling agents? What numbers do you use as proof: booked appointments, show-up rate, conversion rate, revenue per booking? (PS: I've done market research and know the lost revenue and closing percentage but I'm not sure if the agent will take all the calls of some of them due to any issues, please suggest) 2. How do you structure pricing? Flat monthly retainer, base + usage (minutes/calls), performance-based (per booked appointment), or hybrid? 3. How do you present running costs transparently? ElevenLabs usage, telephony minutes/numbers, n8n hosting, integrations, maintenance. Do you pass-through at cost, bundle it, or add markup? 4. What’s the cleanest way to express “% saved” without sounding like a gimmick? If you’ve sold or delivered AI agents, I’d love to see your exact approach (even a simple template). Your expert suggestions are valued. Thankyou.