For me it is always the gap between signal and action.

A rep gets a useful signal somewhere
Reddit
LinkedIn
website activity
inbound form context
random Slack message

And then it just kind of sits there because nobody owns the step between seeing it and doing something with it.

Not a data problem really. More a workflow problem.

You can have enrichment, scoring, routing, sequences, dashboards, all of it. But if the handoff is messy, the signal dies fast.

Curious what feels most manual in your setup right now.

Lead routing
enrichment
territory rules
inbound qualification
CRM hygiene
reporting
something else

I’m writing in this forum to ask for advice.

I have over 10 years of experience in Business Development, mainly with tech startups in Africa, and I’d like to transition into SalesOps or RevOps.

I’m having a difficult time in my current role and I’m currently on a PIP (first one in my career). To be honest, I had what I can only describe as a mental breakdown last year. It felt worse than burnout I had experienced before, and I completely shut down both physically and mentally. Since then, I’ve developed a deep sense of dread when I think about applying for Sales or BD roles again, which is why I’m considering a move into a more operational path instead.

My current company has onboarded several tech tools such as Clay and Lemlist. I’ve only interacted with them minimally, although I understand their purpose and I’ve updated our CRM according to the new RevOps flow that was implemented.

Given that I may not have much time left to properly learn these tools through my company account, and there is also a discussion about offboarding me instead of continuing the PIP, I’m wondering if it is realistic to self learn enough to pivot into a SalesOps or RevOps role and successfully interview for one.

I also don’t have much financial runway right now, so paying for these tools myself would be difficult.

Would really appreciate any advice from people who have made a similar move or work in this space. Thanks.

I’m looking for agencies or teams that specifically focus on rebooking no-shows and following up with missed appointments.

Ideally want US or Canada-based agents who are strong on the phones and know how to revive cold or missed leads without burning them.

Also looking for something performance-based if possible, like pay-per-show or pay-per-result, not just flat retainers.

If you’ve worked with anyone solid or have recommendations, drop them below or shoot me a message. Appreciate it.

For people running Jason AI without a sales team behind them, how much oversight does the follow-up sequence actually need day to day. Is it genuinely set and forget once it's running or do you find yourself checking in constantly to make sure nothing weird is going out to prospects.

Hey everyone,

I’m 25 and currently working at a small consulting firm that does commercial analytics for pharma and healthcare companies. A lot of what I do is territory alignment, goal setting, IC design and payouts, targeting, forecasting, go to market strategy, promotion impact analysis, and a bunch of other stuff.

It’s a smaller firm but the founders came from pretty high level roles at major firms, so I get to sit in on a lot of client calls and see how decisions are made. I’ve learned a lot so far.

Comp is around 102k all in, fully remote, and honestly the workload is pretty light most weeks, probably 15 to 20 hours, which is hard to complain about.

That said, I’ve been thinking about trying to move into sales. I feel like I’m pretty strong socially, good at reading people, building relationships, and I don’t mind being client facing. I also like the idea of being closer to the revenue side and having more upside long term. When doing IC for clients I see what some reps make and I think about what Im doing with my life lol

My hesitation is I don’t have direct sales or closing experience, I’d probably have to take a step back at first, and I don’t want to leave a good situation and regret it.

So I’m trying to figure out:

Is my background enough to break into a solid sales role, ideally in healthcare, pharma, or tech? Something to do with sales systems?

What kind of roles should I be looking at, SDR, AE, or something else?

Is it realistic to get anywhere close to my current comp starting out?

Would really appreciate any advice or experiences from people who have made a similar move.

Thanks

The conflation between email lookup and verification causes more pipeline problems than most teams realize. They're two separate problems, and fixing one doesn't automatically fix the other. A lot of SaaS teams find this out the hard way when bounce rates stay high after switching verification tools because the lookup layer was the actual issue all along.

The teams that figured this out early tend to treat discovery as infrastructure rather than a feature. They define a clean API contract, hand the freshness problem to a third party, and focus engineering on what happens downstream. The teams that built their own lookup layer are now dealing with data rot at scale because people change jobs and companies restructure without warning.

Neither approach is wrong. But you can't make that call cleanly if lookup and verification are still the same line item in your architecture. Anyone here tracking these separately in their current stack?

What is the typical quota overassignment to the company goal? I think it depends on the stage of the company but I have typically done 115%-120% over assignment.

In a lot of fintech calls, buyers ask very specific product, integration, risk, or workflow questions on the spot. Feels like newer reps take forever to get truly confident, even if they’re good at selling. I’ve seen deals slow down just because the rep couldn’t answer deeply enough in the moment. Curious if others here have felt the same.

BDR here. Just got my 2026 quota on April 13:

SALs: 15 / 15 / 15 / 30

SQLs: 12 / 12 / 12 / 24

In Q1 (before even getting the official quota), I booked:

- 21 SALs (140%)

- 15 SQLs (125%)

Company says I’ll get full commission for Q1, but the extra 6 SALs and 3 SQLs will roll over and count toward Q4 instead of paying accelerators now.

This feels off to me. If I overperform in Q1, shouldn’t I be rewarded in Q1? If I had know this was the case in Q1, I would’ve pushed those 6 meetings to Q2….

Curious how common this is. Are other BDR orgs structuring comp like this, or am I getting played?

Also… if anyone’s at a company that actually pays for overperformance when it happens, I’m open to AM or CSM roles in Austin, TX or remote 👀

Does that track for you? And if it does — what's the single worst offender? Is it your CRM, your sequencer, something else? Curious if people have found anything that actually fixed it or if you've just accepted it as the job.

TDX came and went and I am wondering how customers are reacting to the Salesforce's Headless 360 announcement. Here are some of the pricing screenshots... Any additional detail is welcome as we weigh options.

https://preview.redd.it/6o25fohacfwg1.png?width=1128&format=png&auto=webp&s=3e9bf209dcc5c5668a0a1a94d8cec6760c217b8a

https://preview.redd.it/7yma2phacfwg1.png?width=1260&format=png&auto=webp&s=5deca134fff654f3aed98e820bdc56241262d3d5

Marketing side here. We'd built a solid intent monitoring setup, multiple sources, decent scoring, alerts firing into Slack when accounts crossed a threshold. Reps either ignored them or followed up two weeks late.

I heard every version of "the leads are bad" and "we don't trust the scoring." When I dug into the specific accounts they ignored, a good chunk were real. The problem wasn't the data. We were handing reps a number with zero context behind it and expecting them to know what lead activation should look like.

We stopped sending score alerts and started surfacing the actual signals with plain language explanations attached. Same Al GTM platform, same underlying data, completely different reception from the team. Has anyone else found that transparency in the scoring logic matters more than the scoring accuracy itself?

LinkedIn has gotten increasingly aggressive about locking down profile data, and the old ""message every prospect"" workflow is collapsing for high-volume outbound. The teams adapting well are building enrichment layers on top of LinkedIn data instead, identifying contacts on the platform, exporting what's accessible, and then enriching with actual contact data outside it. What's the workflow that's actually holding up for cold outbound from LinkedIn right now?

The enrichment step is where most of the variation sits, because the quality of what comes back differs significantly depending on whether the tool is doing real-time validation or pulling from a stored database. For outbound teams specifically, contact email quality matters at a different level than it does for SDR teams running lower volume, because a bounced email to a cold prospect burns sender rep and wastes a sequence slot.

Asking because we just hit a wall with this.

We're about 10 people. Sales, marketing, and the founders are all making decks and client-facing SOPs independently and every single one looks different. Different fonts, different colors, different slide structures. A prospect last week got sent two decks from two different people on our team in the same month and they looked like they came from different companies.

We tried fixing it with a shared Google Slides template but nobody actually uses it. People just open whatever they had last time and start editing from there.

Curious how other teams solved this. A few things I'm trying to figure out:

Did you enforce a tool or just a template? Because I'm starting to think the template approach doesn't work if people aren't bought into the tool itself. Plus, templates can be harder to edit for non-designers.

At what headcount did this actually become a problem worth solving? Were you our size or did you wait longer?

We've been looking at a few options. Landed on two - Alai for high-stake sales pitches and intro decks and Gamma for post closure hand offs and SOPs that are more running docs.

Also genuinely wondering if this is a tool problem or just a people problem. Like maybe we just need someone who owns this.

Open to suggestions :)

I feel like every deal turns into chaos bc docs in one thread, pricing in another, stakeholders CC’d randomly, and then someone asks can you resend everything?

There has to be a better way than just juggling email chains.

My employer overpaid me last year on my sales commissions. It is significant enough that they would like to reduce any future commissions until it is collected (I know this is a first world problem but since I’ve had cancer I am trying to leave as much as I can for my family). I wonder what my options are. They have been known to change commission plans so they could always update my plan to make it harder or that I make less. I could also quit and get another job but I would leave money on the table. Do I have any options? Location: NC

We’re currently evaluating software for our sales team and wanted some real-world recommendations.

We’re looking for something that can handle a fairly large-scale setup with the following:

• Lead capture and centralised management
• Lead assignment (auto/manual) across multiple sales reps
• Clear pipeline stages (multi-step process before closing)
• Salesperson performance tracking / evaluation
• Follow-ups, reminders, and automation (nothing should fall through the cracks)
• Reporting/dashboard for management insights

Ideally, we want something that can scale well as lead volume increases and multiple team members are involved.

From what I’ve seen, most CRMs claim to do everything, but in practice usability and adoption seem to be the real challenge.

Would love to know:

• What tools are you using?
• What actually worked (and didn’t)?
• Any regrets after scaling?

Context: mid-to-large sales team, structured pipeline, fairly high lead flow.

Appreciate any suggestions or experiences!

Curious about the build vs embed decision for contact discovery inside SaaS products, specifically when the goal is to offer email lookup to customers without running the infrastructure yourself. The white label email api route makes sense for a lot of use cases, mainly because you get a clean data layer without owning the crawling, validation, and freshness problem, but the tradeoffs aren't always obvious before committing to an integration.

The embedding usually goes fine when all you need is a lookup endpoint, but things get complicated when customers start needing bulk operations at scale or when each customer needs their own usage quota instead of sharing a flat account limit. How are teams actually handling the quota attribution problem in a multi-tenant setup?

The category splits into two distinct functions, and most teams treat them as the same thing until they hit the ceiling of the first one.

Database sourcing layer:

apollo: crawled contact database, strong on volume, works well when the contact exists in the index

lusha: indexed database with solid coverage on mid-to-senior professional contacts, gaps tend to widen at smaller companies and in markets with high role turnover

rocketreach: aggregates from multiple data sources into a unified record, broad reach across industries

Finding layer (when the database does not have the contact):

anymail finder: works from name plus domain inputs, not capped by what has been indexed

The ceiling on database tools is the same across all three: if a contact has not been crawled and indexed, the lookup comes back empty. That ceiling is rarely a problem for high-volume top-of-funnel work. Where it surfaces is on niche roles, smaller companies, and second or third stakeholders in an account. The two tiers are not competing, they cover different gaps in the same pipeline.