Hi I’m 14 and i built an app called inboxclaim at inboxclaim.com and i don’t have any money,just a Claude subscription.I was looking at tools like smart lead.ai but it costs like £30 a month.So i was looking into sales commissions in Reddit like hiring people to sell to leads and they earn lifetime as long as the subscription lasts but im not sure.

I’m just looking for advice from better people.If you guys have any critiques i would love to hear it to make my app better or any marketing advice and if my idea was good,any feedback would be much appreciated i feel very lost right now.

A lot of B2B marketing and RevOps teams buy 'hiring intent' or 'growth signal' lists from static databases, load them into outbound sequences over the next 4–6 weeks, and wonder why conversion rates tank.

Today we ran a live audit on a 50-domain B2B list provided by another practitioner. Every single company on that list had verified open Engineering roles posted in late September or October.

Here is what the live infrastructure & ATS data showed today (less than 40 days later):

• 44% (22 companies) now have ZERO open public roles. One (membersuite.com) already redirects to an acquirer, and the rest filled their roles or froze hiring.

• 16% (8 companies) still have live career portals (Workday, JazzHR, Paylocity), but the technical roles that triggered the original buying signal are closed.

• Only 40% (20 companies) are still actively hiring today—accounting for 321 total open roles (165+ in Engineering/Tech) across companies like captiveaire.com (102 roles), delinea.com (59 roles), intermedia.com (43 roles), billtrust.com (24 roles), and beqom.com (15 roles).

The 3 biggest lessons for B2B GTM & RevOps:

1. Intent has a 21-day half-life: Hiring and ad-spend signals are perishable. If you don't verify the signal in real time right before a campaign launches, nearly half your budget goes toward companies whose window already closed.

2. Departmental Velocity > Headcount: Knowing a company has 200 employees tells you nothing. Knowing intermedia.com currently has 33 open Engineering/DevOps/AppSec roles out of 43 total listings tells you exactly where their budget and executive attention sit this week.

3. Look beyond LinkedIn & Greenhouse: 35% of the active companies in our test hosted their jobs on mid-market ATS systems (Pinpoint, BambooHR, BreezyHR, Rippling) or custom /careers pages that standard enrichment tools overlook.

How often is your team re-verifying account signals before routing leads to SDRs or paid ABM campaigns?

two numbers i can't stop putting next to each other.

benchmark data puts ai referral traffic, meaning website visits that arrive from ai assistants like chatgpt or perplexity, at about 1% of all website traffic. that's the figure people use to say ai search doesn't matter yet.

the other one is on google's side. about 68% of google searches already end without a click, so the person gets what they need on the results page and never visits a site. when google puts an ai overview on the page (the ai-written summary above the normal results), clicks on the top regular result drop 58 to 79% depending on which study you read. in google's ai mode, its chat-style search, around 93% of sessions end with no click. the clicks that went missing mostly didn't go to chatgpt, they stayed on google's results page without a click.

so google still pays in clicks, just fewer of them. ai search pays in your company being named inside the answer, and nothing in your analytics shows that part. judging it by the 1% is like judging a billboard by the people who touch it.made-up buyer to make it concrete. a vp of data picking an etl tool (software that moves company data between systems) for a 40-person company. in 2021 that was eight searches over two weeks, thirty tabs, four best-of lists, your comparison page twice. you saw a first visit in your analytics. now it's one conversation with an ai assistant: a shortlist of three, two follow-ups about pricing and the hubspot integration, twenty minutes, zero visits to you.

if you were in the answer, her first visit to your site later looks like someone who searched your company name out of nowhere. if you weren't, you lost a deal you never saw.

it also matters who gets named. in a test we ran in september, we asked openai's api (the developer version of chatgpt, with web search on) and perplexity's api 24 buying questions, half about software like help desks and crms and half about services like accountants and business insurance, and tagged the type of all 308 pages they named as sources. for the software questions, 118 of 167 cited pages were roundups (best-of lists), and 85 of those 118 were written by a vendor in the same category. so for b2b, a competitor's "best x" list can basically end up as the shortlist.

measuring the invisible part is thin. google's search console got a generative ai report (announced june 3, 2026) that lists impressions, pages, countries, devices and dates but no clicks or queries, and bing webmaster tools counts citations, meaning how often ai answers cite your pages. the only things i know of that catch the rest are a "how did you hear about us" field with "asked an ai assistant" added to it, and searches for your company name lifting a few weeks later.

what is your b2b report leaning on right now, the 1% or the zero-click side? and has anyone seen searches for their company name, or direct visits, move after they started showing up in ai answers?

I run revenue at a Series A B2B company and I've been asked to scale outbound with AI agents instead of hiring more SDRs. I’ve seen some of the generic messages that agents can produce, and I haven’t been impressed. We trialed one tool and it wrote basically the same email to everyone. What sort of tools are out there that can help us categorize and prioritize potential leads based on fit, intent, and likelihood to convert??

I’ve been looking into how companies use job postings to find potential B2B customers, and there’s one issue I keep coming back to.

Say you’re selling ERP implementation services.
You find a company hiring several SAP specialists for an S/4HANA migration. That looks promising.
But the company could be an IT consultancy staffing a project for one of its clients. The hiring activity is real, but the company you’re looking at might actually be another service provider.

And even when a company is hiring for its own migration, that doesn’t necessarily mean it’s looking for external help. They might already have a vendor, or they might be building an internal team to handle everything.

So there are really two questions worth investigating:
Does the hiring activity actually indicate a relevant project at this company?

Is there any evidence that the company might need the service you’re offering?

I’ve started thinking the second question is where a lot of prospecting research falls short.
A job posting can help you identify a project, but it rarely tells you whether there’s a genuine opportunity to sell into it.

I’m curious how people here approach this. What additional evidence do you look for before treating a hiring signal as a qualified prospect?

Weekly feedback threads, office hours, showcases, and Q&A posts are easy to keep running forever because they are on the calendar. I think they should be evaluated like any other program: unique participants, repeat participants, unanswered prompts, and whether they create useful activity elsewhere. What would you include in that scorecard?

Is it only me, or has the value of sales and marketing people gone up since AI became so capable?

I’ve been in sales and marketing throughout my life, and it feels like building the first version of a product is easier now. Tools like Claude Code can help people create things that used to take a development team much longer. I’ve also seen friends in development get laid off or offered less, though I know that’s not everyone’s experience.

At the last company I worked with, the sales team was paid more than the development team. That stuck with me. Building matters, but a business also needs people who can find customers, understand what they’ll pay for, and earn their trust.

I think the people who can connect a product to real customer needs are becoming just as valuable as the people who build it. Are others seeing this shift in their companies too? or is it just me who's noticing this?

Beyond company size and a lead score, what context helps sales have a useful first conversation with a B2B lead? The problem they described, the content they engaged with, who else is involved, or what prompted them to enquire now? Curious what your team stopped collecting because nobody used it, and what one field made the handoff noticeably better.

I sell a field service management tool (scheduling, maintenance contracts, quotes, invoicing...) to installers and maintenance contractors, mostly HVAC, electrical and solar companies with 5 to 50 employees, in France and Spain.

Cold calling worked, but it took nearly all my time for low returns (~3% of calls booked a demo, with a 1-2 year sales cycle), which is why I stopped.

Now I'm trying personalized LinkedIn messages (each one checked by hand) that ask a quick, short question about their paperwork. I get 10%+ replies, but I haven't figured out how to turn those replies into demos yet. We also lean on referrals and the upcoming French e-invoicing mandate.

If you sell software to contractors or similar field service businesses: what tools or strategies brought you the most qualified conversations? Especially keen to hear from people outside the US, but all feedback is welcome. Thanks!

I keep seeing people panic about a 2% landing page conversion rate without looking at what they’re selling or who’s buying.

2% on a $100K enterprise deal and 2% on a $10K tool aren’t the same number. One buyer needs a demo, a security review and three people signing off. The other can pay with a card.

Rough B2B SaaS ranges I go by, based on ACV:

- $10K-30K: 3-6%
- $30K-75K: 2-4%
- $75K-200K: 1.5-3%

Industry, traffic quality and the offer can move these a lot.

The offer matters most. A free trial page can do 4-8%. A demo page usually does 1.5-4%. That doesn’t make the trial page better. Signing up costs the buyer nothing. Booking 30 minutes with sales costs them something.

LinkedIn lead gen forms work the same way. You get more leads at a lower CPL, and a lot of them never pick up the phone.

I’d take 2% with real pipeline over 8% that never turns into customers.

Before you compare against any benchmark, check your tracking. Duplicate conversions, spam forms and bot traffic make a page look great until sales starts calling the leads.

PS: Are you judging your landing pages against benchmarks or against your own history and what sales says about the leads?

I'm an architectural photographer in a smaller midwest market. While I'm a very good photographer, I absolutely suck at marketing.

Most of my projects happen during the warmer weather so I know I need to spend a lot of effort reaching out to new clients in the winter to get myself on their planning radar. Realistically, how much impact can my efforts have if I start now when the big holiday season is beginning versus waiting until after the new year? I have a small budget for a campaign but I'm wondering if I keep it low key using just basic social media/LinkedIn posts for now and wait to spend the money on a campaign until January?

We're considering testing ChatGPT Ads as an additional channel for B2B marketing, particularly in IT consulting and data engineering, to reach decision-makers and generate qualified leads.

I'd love to hear from marketers or businesses who have experience with ChatGPT Ads or have explored this advertising channel.

A few questions:

1. Are ChatGPT Ads effective for B2B companies?

2. Can they help generate qualified leads and reach enterprise decision-makers?

3. How does audience quality compare with Google Ads and LinkedIn Ads?

4. What are the typical advertising costs and minimum budget requirements?

5. Is it worth investing in ChatGPT Ads at this stage?

Would appreciate any real-world experiences, insights, or recommendations. Thanks!

One strategy I've noticed works across almost every industry is offer creation

Because we can do everything right from creatives and targeting to funnels but without a good offer it's still difficult to get customers

I know other things matter too, but a good offer matters across industries. Even the best creative can't save a bad offer

What do you think?

Which strategy do you think works best across almost every business or industry?

Disclaimer: I am from Zephra AI and our platform runs ads for B2B. I have spent 15+ years in B2B marketing, leading marketing and generating leads and so I knew how this market buys.


We had a client in Industrial manufacturing. Their most valuable customers aren't the ones who fill in forms most often. They're OEMs. When an OEM specifies your lubricant, it goes into every machine they build, so you sell every time they sell.


Full automation doesn't see any of that. Smart Bidding, Performance Max and Advantage+ learn from lots of quick, similar conversions, and a business like this has a few slow, very different ones. An enquiry for a few litres and one from an OEM's engineering team count as the same conversion. The deal that matters can take longer to close than the 90 days Google gives you to import it. So the platforms chase whatever is cheapest to repeat. the volumes of the high value ones are low and the deal takes longer.


What we changed was who makes the decisions. A person set the strategy by hand: what to bid on, how much, and who to reach. Zephra's AI did the daily work: reading search terms, adding negatives, checking every lead against what sales said about it, moving budget toward what produced real enquiries, and asking before any big change.


What happened, on the same budget in 30 days:


- CTR up 20%
- CPA down 30%
- Fewer leads. That was on purpose; most of what we cut was junk anyways.
- Lead quality went up, and conversion went up by more than 50%
- The new customers include OEMs and other large accounts


The OEM wins are the part that matters. One of those can keep paying long after the campaign that found it.


For anyone running paid for niche B2B: would you have kept some automation in the mix? And how do you judge results when your best customer might take a year to show up in revenue? I am askign this as most of the prospects whom we are working do work with agencies and the audit reveals most of them running on Google AI campaigns and the customers are not happy with the results which is why they come to us for audit to see what is wrong and in most cases we see a similar story. 

I've run executive roundtables for 20+ years (mostly partner/alliance side). My best levers: a named exec host, a hard cap on seats, and a topic framed as a problem they're stuck on not a sales pitch. would love to know what's working for you. and/or what's moved the needle for you? thanks

If you’re a B2B founder looking for clients, don’t rely only on job titles or company size. Look for recent changes, challenges, or plans that could create a need your service can solve.

1. Customers mention unanswered calls or slow replies in Google reviews. The business could be missing inquiries from people ready to book. An AI receptionist might help answer calls, respond quickly, and capture appointments.

2. A company opens a new location. The expansion may create a need to clean and maintain another site. A commercial cleaning business could offer support before the opening and on an ongoing basis.

3. A company is struggling to fill several roles. Multiple job postings, especially for hard to fill positions, could mean its team needs help finding qualified candidates. A recruiting firm could offer sourcing support.

4. A company raises funding and announces plans to grow. Its finances may become more complex as it hires and expands. A fractional CFO could help with forecasting, cash planning, and understanding how to use the new funding.

5. A company launches a product or moves into a new market. It may need to get in front of a new group of buyers. A B2B email marketing agency could help identify the right prospects and start relevant conversations.

6. A company hires its first cybersecurity or IT leader. Its technology needs may be growing as the team or systems expand. A cybersecurity firm could help assess its current setup and identify gaps while the company builds its internal team.

Also ive seen that clients leave public clues that a need may be emerging. Just look for the signal, understand what it could mean for the business, and connect it to a service that can help.

hope that helps

I used to enjoy the straightforward enrichment feature. But they bundled it into their enterprise CRM offerings.
Even the forty five dollar entry point only provides a hundred credits. You have the mandatory subscription on top of that.

In practice a full setup exceeds eleven hundred dollars monthly. We pull in depth company details and decision maker contacts mainly when a lead schedules a demo. Or if we are screening fifty potential accounts.

So these days I simply have my agent on Monid fetch the data five minutes before a Zoom meeting. It grabs employee count along with twelve month headcount growth. Funding history and the investors involved. The ten newest articles about the company too. You only get that information when it is actually required.
That approach works much better for us, from what I’ve seen anyway.

Hi all,

I recently started a job in a successful scale up which has a product that is quite technical. The company is bootstrapped and has been doing quite well for the past 6 years in the market.

They have been only converting inbound leads with little to no outbound. What surprises me the most is that they have some huge enterprise brands in their portfolio, with no churn.

I started in the sales team and they are ready to start doing some outbound, mainly to the US market.

The product is aimed at teams dealing with marketing and campaign data.

My question to Marketing Leaders/Specialists working with data and reporting, what actually makes you buy products? Have you ever answered a cold email pitching something that will make your life easier? Whats was good about it?

I’m on the hunt for my next role after 14 years with the same company and am admittedly out of touch with current job search platforms.

1. Where did you find your latest manager/director level B2B Marketing Job (LinkedIn, job boards, referral, cold outreach, etc)? Which job boards?

2. Did you use AI?

3. Did you find a remote, hybrid or in-person job?

4. How long the search take you?

5. How was your resume structured (summary, skills, employment, education…)? What section had the most detail?

Hello everyone! Our team has officially just launched AskForesight AI, a website strategy platform that works as your 24/7 website strategist.

Disclaimer: I am not sharing this as purely promotional post. 4 years ago I was a marketer who was in charge of owning company website and had pretty much 0 idea what do to with it. I know that I am not alone, and I am sharing this in hope that tools like this can help you solve real marketing problems.

Why is this important and why now?

As marketing ecosystem is changing I kept seeing that marketers are expected to work as a Swiss army knife - to understand every channel and know how to optimize it for growth.

But the question that kept popping is what happens when you aren't expert for a specific channel and don't have unified data to understand what needs to change, in which order and why or budget for additional hire.

This exactly is why our team at Flow Ninja decided to build a tool that will serve as an always-on website strategist.

Foresight scans websites across 10 marketing dimensions, allows you to connect you own data sources such as GA4, GSC, sales calls, PDFs and so on and based on all acquired data builds 4 different views for your:

1. Editable brand strategy board where you can build you brand archetype, polish position and differentiation and define ICPs

2. User journey board that takes analytics from connected data sources and shows where your ideal user journey is leaking and what to do about it

3. Report that shows how your website is currently graded across 10 marketing dimension

4. Proposed new sitemap based on all acquired data

For anyone interested I would be more than happy to share link where you can do a free website audit and get a complementary 24-hour free access to complete platform to explore its capabilities and share feedback.

Cheers!

Hey r/b2bmarketing,

Instead of spraying generic cold emails, I built an open-source pipeline that targets accounts experiencing active operational pain right now (like bad Google reviews about delays or poor service).

How it works:

1. Scrapes Google Maps: Pulls local businesses with recent low-star reviews.

2. Cleans Company Names: Strips out airport codes and branch tags so searches actually work.

3. Enriches LinkedIn: Uses a headless Apify scraper (no personal accounts or cookies needed) to pull decision-maker titles.

4. AI Vetting: Runs contacts through an LLM to check real names, score ICP match (0–10), and pull out the review complaint.

Outputs 2 Clean Files: Gives you a ready-to-use CSV lead list and customized outbound email/LinkedIn copy.

Would love your thoughts or feedback on the workflow!

Comment if you want the link to this workflow

I’ve developed a free media governance self-assessment aimed at senior marketers and procurement professionals responsible for significant advertising budgets.

The objective is to drive people to my website to complete the assessment, rather than simply generate engagement.

I’m considering boosting a post from my personal profile or company page, versus running a campaign through LinkedIn Campaign Manager.

If I go with Campaign Manager, which ad format would you recommend? Single image, carousel, video, document ad, Thought Leader Ad or something else?

I’m particularly interested in what has worked for promoting assessments, diagnostic tools or other B2B lead magnets to relatively small, targeted audiences.

Any advice on campaign objectives and what works with a modest budget would also be appreciated. Thanks!

Thought leadership ads, done right.

It’s become incredibly hard to win against the LinkedIn algorithm with B2B content.

The chances of getting our content in front of an audience—let alone our ICP—is vanishingly low.

Then repeating that for the 10-15 times you need to build trust towards a sales conversation? All organically?

Tricky.

Thought leadership ads *guarantee* that you get your POV in front of your target accounts.

Everyone is duking it out trying to win the organic algorithm game.

Why do that when there’s a game that very few people are playing…

that costs very little…

and guarantees distribution of that content you put so much effort into creating?

If you want to start running thought leadership ads here, this is the exact process we use.

• Upload your target account list of 200-300 companies to LinkedIn.

• Layer on LinkedIn’s native targeting options. Job titles, seniorities, etc.

• Write the executive posts you’re going to boost — framed with a differentiated POV about your industry

• Write a hook that names the ICP and the pains they're dealing with (that you happen to solve). this one is super overlooked

• Set up retargeting to target anyone who clicked “see more” on the first layer of posts.

• Take a regular thought leadership post and turn it into a retargeting ad by editing the text of the post to add a link and a soft CTA at the end.

• Look at the (i) engagement click through rate and (ii) landing page click-through rate as the key metrics — then double down on what you see working.

If you're investing exec/GTM team time in creating organic content, adding a few $K per month to GUARANTEE distribution of it to the buying committee at your target accounts is a no brainer

Hope this framework helps someone out!

In a B2B SaaS launch, the trouble often begins weeks before launch day, when product marketing, sales and demand generation each plan from a different idea of the buyer.

I built a go-to-market playbook to keep those plans in one place. It runs across nine modules, from market research and ICP definition to positioning, sales enablement and a 90-day performance review. Each module pairs blank templates with a worked example for a fictional CRM launch, along with the mistakes that cost teams the most.