Atharv T.

Appreciate the detail. The reply classification and routing layer is what I built specifically for this stage. If you want, we can run it against a batch of your replies before you build that piece internally. It might save you time on the architecture side.

Interesting approaching using formulas. Curious once replies start coming in do you re classify intent based on behavioural signals in the thread or does prioritization remain manual inside CRM.

Your background in scaling GTM systems through acquisitions caught my attention. When automating revops workflows with ai, where do you see the biggest friction today, lead routing, intent classification, SLA tracking, or data quality inside salesforce? I m researching how teams handle reply and intent tagging before and after CRM entry once volume increases. Would value your perspective.

Hey, curious about something specific. When outbound volume increases and replies start stacking, where do you handle intent classification and routing in your builds? Do you tag upstream before CRM entry or push raw replies into CRM and structure intent there with automation? In your experience, what tends to break first as volume scales, scoring logic, routing, rep follow up speed or data sync?

This is strong. One thing I’m curious about, where are you handling intent scoring and prioritization? If Claude is doing deep research and pushing enriched records into Attio, are you also assigning urgency tiers before outreach, or is prioritization still manual? As volume scales, the research layer is solved. The routing and SLA layer usually becomes the constraint. Are you planning to automate reply classification and next step triggers inside Attio as well?

I would not rely on a single signal. I would score it across layers. Structured signals - franchise directories, FDD references, NAICS patterns tied to franchise models. Website signals - franchise pages, language around territories, franchise fees, royalties. Negative filters - dealer networks, affiliate programs, corporate owned multi location chains. Then assign a confidence score instead of a binary tag. Set a threshold for routing. This keeps precision high and reduces false positives.

We see most teams start with a broad company source, then enrich inside Clay. The issue usually is not data coverage but workflow design after the first pass. How are you handling the transition from TAM mapping to active routing once replies start coming in? Are you tagging ICP fit only at the account level or combining it with reply intent before pushing into CRM?

hey utsav, when you test multiple outbound campaigns in parallel, how are you handling reply prioritization once responses start coming in? Are high intent signals automatically pushed into CRM scoring or is there still manual inbox review before reps act?