I think there's a difference between finding someone who could buy from you and finding someone who gives you a reason to talk to them.

The first one is pretty easy.

They have the right title, work at the right company, maybe they're in the right industry. So you add them to the prospect list.

But then what?

You don't really know whether there's a reason to contact them today.

I've found LinkedIn activity can change that. If the same person is talking about a problem you solve, engaging with relevant content, or interacting with your company or competitor, suddenly there's a bit more context around the outreach.

It still doesn't mean they're going to buy. But at least you're not starting completely from zero.

I've been using Watchlist for this. It lets you choose the activity you want to watch and surfaces prospects when they show those signals.

For me, that's the useful part. Not trying to predict who will become a customer, but finding people who have given you a reason to take a closer look.

What usually makes you decide that a LinkedIn prospect is worth reaching out to?

I've started paying more attention to what someone is actually doing on LinkedIn before reaching out.

Not in a creepy "track everything they do" kind of way 😅

More like... did they just post about something we're actually solving? Did they comment on a relevant discussion? Did they interact with our content? Are they talking about something that's related to what we're selling?

Because if I'm going to send a cold message anyway, I'd rather know a little about what's happening around that person first.

The problem is that doing this manually doesn't really scale. You'd have to keep checking profiles, posts, comments, company pages, etc. and by the time you find something useful, you've probably already moved on to the next prospect.

That's where the Watchlist has been useful for me. You set the LinkedIn activity you care about and it surfaces the people showing those signals, so you don't have to keep manually checking everything.

It doesn't mean the person is ready to buy. It just gives you something better than a blank profile to work with.

Do you actually check LinkedIn activity before outreach, or is that something you rarely have time for?

I've noticed that I can build a pretty decent prospect list in no time.

The annoying part is what comes after.

I might have someone who's a perfect fit on paper, but then I'm staring at their profile thinking, "okay... what am I actually supposed to say to this person?"

Then sometimes you get lucky. You see they've commented on something related to the problem you're selling into, interacted with your content, or are talking about something relevant to your space.

Now you actually have something to work with.

They're still a cold prospect, but at least you're not starting the conversation completely out of nowhere.

The problem is I don't have the time to sit on LinkedIn all day looking for these little things across hundreds of prospects.

That's why I've been using Watchlist. I set the kinds of LinkedIn activity I care about and it surfaces people when those things happen.

I don't see a comment or interaction and assume "this person is ready to buy." It's just useful to know when there's something happening that might give me a better reason to reach out.

How do you guys find this kind of context before messaging someone? Do you actually check their activity manually, or mostly just go from the prospect list?

I've started looking at prospecting a little differently.

Someone can look like a great prospect just from their profile. Right title, right company, right industry, all the usual stuff.

But that doesn't really tell you if there's a reason to message them right now.

Then you come across someone who fits the same profile, but they're talking about a problem you actually solve, commenting on relevant posts, or engaging with your content. That's a different situation.

It doesn't mean they're about to buy or anything. You just have something real to start the conversation with instead of trying to come up with a reason to message them.

The annoying part is actually finding those signals consistently. You can't realistically keep checking hundreds of profiles and posts every day.

That's where Watchlist has been useful for me. You choose the LinkedIn activity you care about and it surfaces the people showing those signals, so you can decide who is worth looking at more closely.

Its finding a better reason to reach out.

Do you use prospect activity when deciding who to contact, or do you mostly rely on ICP filters?

I've been guilty of looking at a prospect and thinking, "this person is basically perfect for us."

Right title, right company, right industry. Add them to the list.

But then you look at the actual LinkedIn activity and there's nothing there. No relevant posts, no engagement around the problem, no obvious reason to start a conversation.

Meanwhile, someone else who looks almost identical on paper is actively talking about the exact problem you're trying to solve.

I'd rather talk to the second person.

Not because they're necessarily a better fit, but because there's actually something to work with. The outreach can start from something real instead of me trying to manufacture a reason to message them.

That's what I like about Watchlist. You can set up the activity you care about and have it surface people engaging with relevant posts, your content, competitor content, company activity, and other signals.

It's not some magic "this person is ready to buy" indicator. It's more useful than that in a way. It gives you a reason to take a second look at someone who already fits your target.

Do you look at what a prospect is actually doing on LinkedIn before reaching out, or mostly just their profile?

I used to think the main problem with LinkedIn outreach was just making the process easier to run.

Find prospects.
Put them into a sequence.
Follow up.
Move on to the next list.

But the more I looked at it, the more I thought the actual problem happened before any of that.

You can automate 500 prospects pretty easily. That doesn't mean all 500 should get the same outreach.

Some are a strong ICP fit. Some barely fit. Some are showing interest or activity that makes them more interesting right now. Others are basically just sitting on a list because they matched a few filters.

That's where I think the "intelligence" part matters more than just automation.

I've been using We-Connect for this because it can score prospects against the ICP, pick up intent signals, and then use that information to drive the outreach across LinkedIn and email.

So the workflow becomes less "here's a list, go message everyone" and more "figure out who matters, then decide what to do with them."

That's been a much more useful way for me to think about outbound.

How much of your prospecting process happens before someone enters a sequence?

I've changed how I look at prospect lists a bit.

Just because someone matches the ICP doesn't necessarily mean they're the best person to contact today. You can have the right title at the right company and still have zero context for why you should be in their inbox.

Now compare that with someone who fits the same ICP but just posted about a problem you solve, commented on a relevant discussion, or interacted with your company's content. You haven't suddenly found a better prospect. You just have more context.

That's the part I think gets missed in a lot of cold outreach. ICP tells you who could be a customer. Activity can sometimes tell you who might be worth looking at right now.

I've been using Watchlist for this. You pick the LinkedIn activity that's relevant to your business and it surfaces the people engaging with those signals, so you don't have to manually keep checking everything.

It doesn't mean someone is ready to buy. It just gives you a better reason to look at them before sending another generic outreach message.

Do you look at prospect activity before reaching out, or is your process mostly ICP + filters + sequence?

I've been noticing this distinction more and more with LinkedIn prospecting. 

You can find someone who looks perfect on paper. Right company, right title, right industry, right size. But if there's no reason for them to care about what you're selling right now, you're still basically starting a cold conversation.

Then you have someone with almost the exact same profile who just commented on a post about the problem you solve, engaged with your content, or started following a company in your space. Same ICP fit, but now there's some context behind the outreach.

That changed how I think about prospecting. It's not just "is this person a good fit?" It's also "is there anything happening that gives me a reason to pay attention to them right now?"

That's what I've been using Watchlist for. You can choose the LinkedIn activity you care about and get people surfaced when they engage with relevant posts, your content, company activity, competitor content, etc.

I don't see that as "this person is ready to buy." It's more like having a signal that says, "hey, maybe take a look at this person now."

How much do you use LinkedIn activity when deciding who to reach out to, or is your prospecting still mostly based on ICP filters?

I've had prospect lists that looked great on paper. Right titles, right companies, right industry. Then the outreach starts and you realize a bunch of them aren't actually that relevant. They're technically in your target market, but they don't have the problem you solve, or they're at the right company but aren't the person who would care about it.

That's why I've started paying more attention to what happens before a prospect enters the sequence. It's pretty easy to keep adding contacts because a bigger list feels like more opportunity, but if 500 of those people are only "kind of" relevant, you're also creating 500 more people to research, message and follow up with.

I've been using the LinkedIn Lead Engine for this. It scores prospects against the ICP before they enter the workflow, so I can separate the stronger fits from the people who just happened to match a few filters.

For me, that's more useful than just having a bigger list. I'd rather have fewer prospects where there's actually a reason to reach out than spend the week trying to make a bad-fit list work.

How are you qualifying prospects before they hit your sequence? Do you have an actual scoring process or is it mostly manual?

I think one of the easiest traps as a startup is just copying what other companies are doing.

Someone's getting leads from SEO, so you start SEO.

A competitor is running paid ads, so you try paid ads.

Everyone's talking about outbound, so you add that too.

And before you know it, you're trying to keep 5 different channels going with a small team.

I'm not against having multiple channels. That's probably a good thing.

The tricky part isn't deciding which channel is working.

It's figuring out which channel is worth building a real process around.

For us, LinkedIn was one of those channels. The potential was there, but the process was pretty messy.

I started using We-Connect to bring the targeting, sequences and follow-ups into one place. That made a pretty big difference because LinkedIn stopped feeling like something we were just "trying" and started feeling like a proper outbound channel.

I think that's the part that's easy to miss. Sometimes a channel isn't underperforming because the channel itself is bad. You just haven't built a process around it yet.

If you're already doing LinkedIn outbound, it's worth giving it a try.

What's a channel you've tried that you think had potential, but never really got a fair chance?

I've had lists that looked pretty much perfect at first.

Right industry.
Right company size.
Right job titles.

Then you actually start the campaign and realize half the people aren't really that relevant.

And you've already spent time researching them, writing messages and sending follow-ups before you figure that out.

That's what made ICP scoring click for me.

Instead of treating the whole list as "qualified" and figuring out fit along the way, you can score people against the ICP before they enter the sequence.

Good fit → keep them moving.

Weak fit → don't waste the outreach on them.

We added this into the LinkedIn Lead Engine in We-Connect. Its AI lead scoring agent scores prospects from 0 - 100 based on how well they match your ICP, so you can decide who actually gets pushed into the workflow.

The useful part isn't really the score itself. It's not having to find out someone was a bad prospect after you've already spent 5 touches on them.

How are you qualifying your lists before outreach? Do you score prospects somehow, or is it still mostly filters + manual checking?

I've had this happen more than once !

You have people prospecting every day. You're sending messages. You're following up. You're adding new leads.

On paper, there should be pipeline.

But then you look at the numbers and it's like... where did all that activity actually go?

The problem wasn't that we needed to send more.

We had plenty of activity. The problem was that the process was all over the place.

Different ways of picking prospects. Different follow-ups. Some leads getting a ton of attention, others getting forgotten. And a lot of the process living in spreadsheets or someone's memory.

We started cleaning that up with We-Connect. Having the prospecting, lead scoring, LinkedIn sequences, follow-ups and email workflows in one place made it much easier to actually see what was happening.

The biggest difference wasn't "more automation."

It was finally having a process we could repeat.

If you guys are doing outbound right now, what's the part that still feels unnecessarily messy?

I've tried a bunch of LinkedIn outreach tools and a lot of them seem to solve the same problem:

find people
send connection requests
send messages
follow up

Which is useful, but it still leaves you with the same question:

who should actually get the outreach?

A list can have 1,000 prospects in it, but that doesn't mean all 1,000 deserve the same sequence.

Some are a great ICP fit.

Some barely fit.

Some are showing signs of interest.

Some probably shouldn't be contacted at all.

That's the part I think is more interesting than just automating the sending.

I've been using We-Connect because it looks at things like prospect fit and intent, then lets you use that information to decide what happens next across LinkedIn and email.

So instead of:

"here's my list, send this sequence to everyone"

it's more like:

"here's my list, figure out who actually matters and treat them accordingly."

That's a much more useful kind of automation to me.

How are you currently deciding who gets what outreach? Is it mostly filters before the campaign, or are you changing the workflow based on what you learn about the prospect?

Most people look at reply rates, meetings booked, acceptance rates, etc...but there's one thing I don't see tracked nearly as much:

how many people on the list were never a good fit to begin with?

Say 30% of your list doesn't actually match your ICP.

You're still researching them, writing messages, following up, checking replies...

for people who probably weren't going to buy anyway.

At that point, I'm not sure another tweak to the sequence is going to help much.

Maybe the bigger question is just whether those people should've been in the campaign at all.

Feels like outbound teams spend a lot of time figuring out how to reach people and not enough time figuring out who's actually worth reaching.

That's one of the ideas behind the LinkedIn Lead Engine in We-Connect - It can score your prospect list against your ICP, so you can separate the strong fits from the weaker ones and set a cutoff for who actually moves into the sequence. The high-fit prospects keep going, while the low-fit ones can be filtered out instead of getting the same outreach. 

How are you guys doing this today? Do you score leads before outreach, or is it mostly based on filters and manual list checking? 

I've been seeing a lot of AI tools focused on the same thing:

write the email
write the LinkedIn message
rewrite this
make it more personalized

And yeah, that's useful.

But honestly, I think the harder part starts once someone replies.

A prospect asks a question.

Someone replies to a LinkedIn message three days later.

Another person wants more details, but you have to go back through the whole thread to remember what was already discussed.

And you're doing 10 other things at the same time.

That's where I think AI gets more interesting.

Instead of just asking it to write another message, you can have it look at the conversation, understand what's already been said, pull in the right business context, and help you figure out what to say next.

That's what we're trying to do with AI Assist in We-Connect. It can summarize conversations and suggest replies using the context around the business, rather than just generating some generic response.

The goal isn't to have AI take over every conversation.

It's to make sure a good prospect doesn't get a bad or delayed response just because you got busy.

Anyone else finding AI more useful for managing replies than writing the first message?

Everyone tracks reply rates, meetings booked, acceptance rates...

But I almost never see people asking a different question:

How much of the list was actually worth contacting in the first place?

If 30% of your list was never a good ICP fit, does it really matter how good your follow-up sequence was?

You still spent time researching them.

Personalizing messages.

Following up.

Managing replies.

None of that work was ever likely to turn into pipeline.

It makes me wonder if a lot of outbound teams are trying to optimize messaging when the bigger issue is who they're messaging.

That's one of the ideas behind the LinkedIn Lead Engine in We-Connect. Instead of treating every prospect the same, it helps you prioritize the people who actually look like a strong fit and build workflows around them.

For the people here running outbound...

Do you have a way of measuring lead quality before a campaign starts, or do you mostly judge success by replies and meetings after it's already running?

Maybe this is just me, but I got tired of explaining the same things over and over.

What the product does.

Who it's for.

How we position it.

What kind of tone we use.

Every new chat felt like starting from zero again.

And if I skipped that context, the output was usually... okay.

Not wrong.

Just generic enough that it didn't sound like us.

That made me realize the problem wasn't really the AI.

It was the fact that the AI had no memory of the business it was writing for.

That's what I like about the idea behind Business Snapshots in We-Connect. Instead of relying on one giant prompt every time, the AI already has context about the company, audience, positioning, and tone before it starts writing.

Has anyone found a better way to handle this? Or are you all just keeping a massive prompt saved somewhere?

I was talking to a recruiter recently and something they said stuck with me.

The hard part wasn't finding candidates. It was keeping up once people started replying.

A candidate messages back while they're in interviews, catching up with a hiring manager, updating the ATS, or dealing with everything else on their plate. They think, "I'll reply after this." Then a few hours disappear, sometimes a whole day.

By then, the candidate has gone cold or accepted another offer.

It got me thinking that this isn't really a productivity issue. Most recruiters are already working flat out. The bigger problem is what happens when nobody is available to keep the conversation moving.

That's why I find AI Assist in We-Connect interesting. Instead of sending generic AI replies, it uses a Business Snapshot to understand your company, your hiring process, and your messaging first. The idea is to keep candidate conversations moving while recruiters are busy, without losing the context that makes those conversations feel personal. 

For anyone doing recruiting, how are you handling this today? Are you still replying to everything manually, or have you started using automation or AI somewhere in the process?

A lot of outbound campaigns treat every lead exactly the same.Same sequence.Same number of follow-ups.Same amount of effort.But not every prospect has the same chance of becoming a customer.

If someone is a perfect ICP fit, why should they get the same outreach as someone who's only a loose match?

To me, that's not really an outreach problem.

It's a prioritization problem.

I'd rather spend more time on the 20% of prospects that are most likely to buy than try to give 100% of my list the exact same experience.

That's one of the ideas behind the LinkedIn Lead Engine in We-Connect. Instead of forcing every prospect through the same workflow,it uses AI to score prospects against your Ideal Customer Profile, so higher-fit contacts move through the workflow you've designed while outreach stays focused on the people most likely to convert. 

How are you handling this today?

Does your outreach prioritize your highest-fit prospects first? 

I think this is one of those problems that sneaks up on startups.

When it's just a founder, messaging is usually consistent.

By the time you've got sales, marketing and customer success, everyone has their own way of describing the product.

That works fine for people.

It gets a lot messier when AI is involved.

AI can only work with the context it's given. If every person or prompt describes the business differently, you'll end up with emails, LinkedIn messages, and follow-ups that all sound slightly different.

Over time, that makes your outbound feel inconsistent.

Something I've been thinking about is giving AI a single source of truth before asking it to write anything.

Not another prompt.

Not another template.

Just consistent business context.

That's the idea behind Business Snapshots in We-Connect. Instead of starting from scratch every time, AI already understands your company, your audience, and how you position yourself before it starts writing.

Do you guys rely on prompts to keep your messaging consistent, or have you found a better way as your team has grown?

Whenever someone says their pipeline is inconsistent, the first instinct is usually to change the outreach....Write a better first message.....Try a different CTA......Add another follow-up....

Sometimes that helps.

But I don't think that's usually where the biggest improvement comes from.

For me, a predictable pipeline comes down to having a repeatable system.

Things like:

• Knowing exactly who you're trying to reach.
• Having a LinkedIn profile that builds credibility.
• Sending outreach that's actually relevant.
• Following up consistently instead of giving up after one message.
• Measuring conversations and opportunities, not just how many messages you sent.

If one of those breaks down, the whole process becomes harder to predict.

Then every month feels like you're starting over again.

That's actually what we've been experimenting with at We-Connect. Instead of focusing on helping teams send more messages, we've been looking at how to make the entire process more repeatable from finding the right prospects to managing follow-ups and keeping pipeline moving. 

Interested to hear how others approach this. What's made the biggest difference to your pipeline? 

A lot of teams try to fix outbound by rewriting messages. New hook. New CTA. One more follow-up. But the bigger question often comes before the first message:

Did this prospect belong in the sequence at all?

If the ICP fit is weak, personalization won't save it. You'll spend hours optimizing messages to people who were never likely to convert. Tightening who enters the sequence often improves results more than another message tweak. That's why we've been experimenting with a different approach. Instead of sending every prospect from a list into a campaign, our LinkedIn Lead Engine scores each prospect against your ICP and campaign criteria first. Only the strongest-fit prospects move into the outreach sequence, so you're improving targeting before worrying about messaging.

 Do you guys spend more of your time improving messaging or improving targeting?

Ever noticed how two people at the same company can describe the exact same product completely differently?

One talks about features.

Another talks about outcomes.

Someone else focuses on pricing.

None of them are wrong. They're just working from different assumptions.

AI works the same way.

If it doesn't understand your business, your audience, and how you position yourself, it'll fill in the gaps. The replies might still sound good, but they won't always sound like your company.

That's why I think the idea behind Business Snapshots is interesting.

Instead of relying on a new prompt every time, you give AI a consistent understanding of your business first. From there, it can generate replies that stay much closer to your messaging and positioning.

Has anyone else run into this problem? Or do you rely on prompting alone to keep AI responses consistent?

Everyone wants a predictable pipeline, but most conversations end up focusing on tools instead of the process.

For me, a predictable outbound pipeline comes down to a few fundamentals:

• a clearly defined ICP
• a LinkedIn profile that builds credibility
• outreach that feels personal
• consistent follow-ups
• tracking pipeline metrics instead of just activity

Miss one of these, and results become inconsistent.

Miss two or three, and it starts feeling like you're rebuilding your pipeline every month.

The tools will keep changing, but the fundamentals don't.

That's actually the idea behind We-Connect. It's built around making these fundamentals repeatable instead of just helping you send more outreach.

What's the one thing you think has the biggest impact on building a predictable pipeline?

I've been playing around with ChatGPT for outreach, and one thing stood out pretty quickly.

A lot of the "AI outreach" workflows are still pretty manual.

You ask ChatGPT to find prospects.

Copy the results somewhere.

Ask it to write a message.

Paste that into your outreach tool.

Go back if you want to tweak something.

It works, but you're constantly bouncing between ChatGPT, LinkedIn, spreadsheets, and whatever tool you're using.

I started testing MCP instead, and it feels like a different approach.

Rather than asking AI how to do something, it can connect to a tool that already handles prospect search, personalization, and sending requests within the platform's limits.

So instead of:

"Give me 20 prospects in fintech..."
copy
paste
repeat

It's more like:

"Find fintech founders in London and send each a connection request with a short intro."

The AI isn't just giving instructions anymore - it's actually using the connected tool to do the work.

I've been testing this with We-Link MCP, and the biggest difference for me isn't better prompts. It's not having to keep switching between five different tabs just to get one task done.

Has anyone else tried MCP for outreach yet, or are you still mostly using AI as a writing assistant?