Ryan T.

Jeremy S. That classification challenge is a great filter - most people overcomplicate it by trying to do everything inside Clay when the real move is pre-enriching with a lightweight scraper against SIC/NAICS codes first, then using Clay's AI columns purely for the nuanced staffing vs recruiting vs both distinction since that's where the model actually shines. I've built almost this exact pipeline for a client targeting staffing firms last year and the QA step most people skip is running a second AI pass specifically to catch companies that look like recruiting firms but are actually RPO or PEO shops - those will wreck your reply rates if they slip through.

Craig S. the fact you're packaging this as a paid test first is smart, but I'd push you to think about whether you actually want a person or a system. I've built exactly this stack for agencies - Clay table with signal-based triggers refreshing weekly, scoring, pushing to outreach tools - and the real unlock is when the system runs itself and you just review outputs. The $3K/mo retainer model works but you'll hit a ceiling fast if the person leaves and takes all the tribal knowledge with them.... better to build the infrastructure so it's yours regardless of who operates it.

Ronak P. One thing worth flagging on a 4-motion build like this - the RB2B visitor data is only as useful as the enrichment layer sitting between it and your Clay tables. I've built similar multi-motion systems where the biggest bottleneck wasn't the outreach sequences themselves but getting the intent scoring right so each motion fires at the right person at the right time.... especially with a product like yours where the ICP probably spans sales leaders, rev ops, and frontline reps with very different trigger signals. Happy to riff on the architecture if helpful.

Kiran Looks like your DMs are blowing up so I won't pile on there. One thing worth flagging though - since you already have deliverability and ICP clarity locked in, the biggest unlock is usually automating the cohort build itself so you're not manually assembling lists every week. I've built Clay tables that auto-refresh target accounts on a schedule and waterfall enrich them before they ever hit a sequence.... removes the bottleneck entirely instead of just throwing a person at it.

Rachel N. This is a fun one - the hardest part of turning a twice-executed process into a repeatable playbook isn't the individual tool configs, it's the handoff logic between them. Especially the 6sense-to-Clay-to-Outreach sequencing where timing drift kills MQA quality fast. One thing I'd flag early: make sure whoever builds this documents the failure states, not just the happy path.... that's what actually makes it trainable for a team that didn't build it.

Alexis G. This is a classic signal-over-volume problem. The good news is there are a ton of intent signals hiding in plain sight for franchise-curious people - LinkedIn profile changes like "open to opportunities," recent layoff announcements, people engaging with franchise/entrepreneurship content, even SBA loan inquiry patterns if you can get creative with data sources. The trick is layering 3-4 of those signals together so you're calling someone who just updated their headline AND liked a post about leaving corporate AND is in a market where your franchise brands operate. Night and day difference in conversion when you stack those.

Genna M. Clay doesn't have a formal PS package last I checked - they've got the university content and support team but not a dedicated implementation arm. Most people I know who need hands-on build-out end up going with certified partners or ops consultants who live in Clay daily. Depends on what you're trying to get done though - some stuff their support team can actually handle pretty well if you frame it right.