Hey there!
Here’s the seventh edition of Workflows Weekly, with a few workflows, tools, and ideas you want to rely on
Let's get into it.
1. Featured workflow
Outbound doesn't scale by sending more messages.
It scales when targeting, messaging, and execution are tightly connected.
This is our 7-Step Outbound GTM Framework that helped us book 320+ meetings for our clients in just one month.
At a high level, it works like this:
start with a data-backed ICP, built from closed-won and lost accounts
map and segment your TAM using multiple data sources
enrich companies and accounts with AI research and signals
score accounts in three tiers
keep your message short
combine automated outreach with outbound dials
The key is doing things in the right order.
This framework locks in the fundamentals first, so outbound feels controlled and easier to scale.
2. Which AI tool you should look into
Clay helps you turn scattered account and contact data into a single source of truth.
It's built for teams that want to centralize everything into a data orchestration platform.
Clay
It lets you:
clean and normalize data from multiple sources
dedupe and qualify prospects at scale
enrich accounts with 100+ data providers
monitor signals for your target accounts
Clay provides a system that sits underneath your GTM stack, doing the work most teams underestimate.
→ Try Clay
3. What GTM resource we found useful
These email deliverability guidelines are a good reminder that copy and setup matter just as much as volume.
The core idea is simple.
If your emails don't land in the primary inbox, nothing else matters.
Deliverability Guidelines
A few rules worth keeping in mind:
keep emails under 50-70 words
add multiple variations of subject lines to improve inbox placement
use 2 mailboxes per 1 domain
use soft, low-friction CTAs to increase reply rate
If you're running outbound at any scale, this is worth bookmarking and revisiting regularly.
4. AI news of the week
Clawdbot is pushing the idea of AI agents that actually do work, instead of just answering questions.
Instead of prompting step by step, Clawdbot lets you hand off a task and have the agent execute it end-to-end.
You describe an outcome, not instructions, straight from WhatsApp.
The agent figures out the steps, runs them, and comes back with finished work.
This is another signal that AI tooling is moving away from chat and toward task ownership.
Important note: Tools like this work with local access, so it’s worth being intentional about what permissions you grant and keeping access limited to only what’s necessary.
→ Explore Clawdbot
That’s a wrap for this week.
If something here made you pause or rethink how you work, just reply and let us know.
See you next week.