Saw a stat somewhere that something like 60%+ of reps miss quota, and the more outreach I've done the more I believe it's not a copywriting problem. It's that everyone's working off stale data, no real process, and whatever free tool they found last week.

Personalizing with {first_name} and {job_title} isn't personalization, it's a find-and-replace. Without actual context behind it the message is still hollow, it just has a name in it now.

Here's the stuff I actually check before I write anything that gets me 20% to 40% reply rate:

1. Real signals like Funding round, new exec hire, event interest anything that just happened. this tells you WHY to reach out now, not just who to reach out to.
2. Actual intent, not assumed intent Did this person engage with anything relevant recently (a post, a topic, a piece of content) more than once? Someone who reacted to "AI sales strategies" four times this week is a very different conversation than someone who's never touched the topic.
3. Reference something real "Looks like you're into X, here's a resource on it" lands completely differently than a generic pitch, because it proves you actually looked before you typed.
4. Timing over guessing "Saw the new feature drop yesterday, that's a solid addition" works because it's tied to something that just happened. The same line sent two weeks later just sounds late.
5. Make it feel like a conversation not a script.
6. Be the one outreach that isn't generic Most outreach in anyone's inbox sounds identical. The bar to stand out is embarrassingly low right now, you basically just have to not sound like everyone else.

None of this requires being a stalker, it just requires actually looking before you hit send, sadly this is the part most people skip because it doesn't scale by hand.

I get it, the manual version of this gets old fast, checking signals and intent by hand for every single lead is a nightmare. For this, I ended up putting together my own setup that scans for the signals, pulls together the relevant info on each person, drafts the personalized message, and handles the follow-up sequence and booking on the back end, so the only part that's still actually me is showing up to the demo (if you automate it things will get so much easier).

Anyway curious what everyone else checks before sending, feel like there's always one more signal people swear by that I haven't tried yet.

I used to spend almost 10 hours per lead doing research, writing outreach, taking notes, writing proposals, and chasing follow-ups.

Now I spend about 5 min per lead. Same number of closed deals. (sometimes better)

The only part I still do myself is the actual discovery call, because human connection still matters there. Everything else is automated end to end. Here's the exact system (this is literally what my SaaS runs under the hood):

Step 1: Lead Generation (100% AI) → Scrapes LinkedIn + company databases → Qualifies leads against criteria (industry, size, tech stack) → Enriches contact data automatically → Delivers 250+ qualified leads a week, no manual list-building

Step 2: Outreach (100% AI) → Writes personalized DMs using real company research → Runs 3-5 touchpoint sequences → Books discovery calls straight to my calendar → 20-40% response rate

Step 3: Discovery Call (still human) → I run the call → AI transcribes in real time and pulls out pain points, budget, timeline, decision makers → Zero manual note-taking

Step 4: Proposal Generation (90% AI) → Takes the call transcript + my template → Generates a custom proposal: scope, pricing, timeline → I tweak it for 10-15 min → Sent within 2 hours of the call ending

Step 5: Follow-up (100% AI) → Sends the proposal with a personalized note → Tracks opens/engagement → Runs reminder sequences → Pings me the moment a prospect looks ready to close

I built this for myself first because I was drowning in busywork, not because I wanted to build a product. But after a few people in my network saw the workflow and asked "wait, can I use this," I packaged it into a SaaS. It's basically Steps 1, 2, 4 and 5 above, running on autopilot.

If anyone's curious how the lead scoring or the proposal-generation prompt chain works, happy to go into detail in the comments.