Hey r/CRM

Disclosure upfront: I'm a co-founder of Hublyd, we're building in this space. Not posting to pitch (no link, profile if anyone's curious), posting because we've talked to ~30 B2B sales and CS teams over the past few months and I want to check whether what we keep hearing matches reality for you.

Some recurring threads from those conversations:

• References live in 4-5 places (CRM fields, Notion, Drive, Slack, someone's head) and nobody really owns keeping them fresh
• Accountability falls between chairs: CS owns the customer relationship, Sales owns the urgency, nobody owns the freshness of the data
• The "referenceable customer" field in the CRM is often a proxy for who the CSM personally likes, which quietly biases the list

A few things I'd genuinely love to hear from you:

1. If you do this well today, what's your actual workflow? (More interested in the process than the tool names.)
2. Is finding the right reference fast actually the painful part, or is the real pain upstream, getting customers to agree to be a reference in the first place?
3. For those who've tried dedicated tools (ReferenceEdge, UserEvidence, Champion, etc.), what worked, what didn't?

Will reply to every comment.

Hey ,

Like a lot of people here, I got completely burnt out by clunky enterprise CRM setups, endless sub-menus, and having to duct-tape five different software subscriptions together just to handle basic customer follow-ups.

So, we built crm.software to fix that.

It’s a streamlined, highly visual pipeline CRM designed for teams who want execution speed over endless feature bloat. We focused heavily on bringing communication and cash flow under one roof:

• Omnichannel Timeline: It natively unifies your Email, SMS, and WhatsApp Business conversations into a single customer feed. You don't need Zapier to automate multi-channel follow-ups.
• Built-in Invoicing: You can generate sales quotes and collect secure client payments directly from the active dashboard.
• Zero Learning Curve: No expensive onboarding consultants or weeks of training required. A workspace takes under two minutes to spin up and fully brand.

We are officially live, and I would love to get some blunt feedback from the power users in this sub.

What did we miss? What features are a dealbreaker for your daily workflows?

If you want to poke around and stress-test the pipeline, you can check it out at crm.software (there's a 14-day trial, no credit card required). Drop your honest thoughts below!

This is a weekly post for you to let out about something which happened this week for you in CRM that mattered: features, client requests that were either great or awful this week, and just generally chat CRM / CRM consulting chatter.

No self promo, just a place to share tales from the front-line of CRM!

Been testing both for about 2 weeks now and cant decide. My team needs solid cell numbers for our outbound, were doing about 300-400 dials a day accross 3 SDRs.

Swordfish seems to have decent coverage but im seeing some stale numbers. Like I called 20 people yesterday and 4 were disconnected. Thats 20% waste right there. Prospeo's numbers seem fresher but I havent done enough volume to really know yet.

Anyone here run both phone number finder tools side by side? Main things I care about:

• Actual connect rates on mobile numbers (not just "we found a number")
• Pricing at scale (we'll probably need 5-10k numbers monthly)
• How often they update thier database
• Coverage for tech companies specifically

Also curious if either has good API speeds. We're using Outreach and want to pull numbers on demand rather than batch enriching everthing.

Price-wise Prospeo seems way better value but wondering if that means the data quality suffers. Swordfish is like 2-3x more expensive from what I can tell. We also looked at ContactOut briefly but thier mobile number coverage was pretty thin for our ICP.

The most dangerous CRM fields are not always the ones people fight about during setup.

They are the boring fields everyone treats as admin:

• lead source
• lifecycle stage
• lost reason
• segment
• owner
• next step
• qualification status

At first, messy input feels harmless. Sales writes what it wants. Marketing patches attribution later. CS adds context in notes. Leadership does not notice because nobody is using the field for a serious decision yet.

Then one day the company asks:

• which channel creates actual pipeline?
• why are we losing deals?
• which segment should we invest in?
• what should sales stop chasing?

And suddenly that "admin" field is now a decision engine.

The rule I like: if a field may later decide budget, hiring, segmentation, or forecasting, it needs an owner before volume arrives.

What CRM field have you seen become expensive after everyone already depended on it?

I've been using AI in my business for more than three years, and one thing has changed my thinking more than anything else:

The biggest limitation of AI isn't the model capacity. It's the structural context you feed it.

At first, I thought AI's biggest advantage was that it could do almost everything write code, create marketing copy, design graphics, and write content. And today's AI models are very capable.

But after using AI for a few years, I realized that good work always depends on context, whether you're working with a machine or another person.

If AI doesn't understand your business, customers, goals, or constraints, it will usually produce a generic answer.

This isn't because the model isn't capable; it's because it doesn't know what actually matters to your specific operations.

That realization completely changed how I use these tools. I don't use AI to replace my thinking anymore. I use it to amplify it.

It's easy to let AI think for you instead of using it Extend your Thinking But I've found the opposite loop is true: the better I understand marketing, systems, product design, or coding, the better I can guide the AI model and the sharper the output becomes.

AI is already excellent at execution. What it still can't replace is your judgment, your taste, your experience, or your understanding of edge cases.

For example, if I'm asking AI to write copy, I don't just say: Write me a landing page

Instead, I map out the structural context:

Who is the exact customer , specific problem we're solving ,How we are positioned in the market

The design tone and constraints I want

The resulting output is very different I've found the exact same rule applies to All other Aspects of the Business, The more deeply I understand the problem, the better AI helps me solve it.

That's why learning the fundamentals still matters. Understanding the work is what gives you the context required to direct AI effectively.

A few years ago, I thought AI would reduce the value of human expertise. Now I believe the exact opposite. The better you become at your craft, the more valuable AI becomes as a leverage point.

That's been one of the biggest shifts in my own thinking.

I want to share more on specific usecases, but this post is getting long Maybe in the next post

So how are you using AI ?

Has AI mainly changed how you work or work Quality?

We're Attio experts and provide a free audit for everyone who is already using Attio or is going to use it. It's totally free, and you'll get a documented page with findings and instructions on how to fix it. It includes:

1. Missed workflows
   
2. Missed integrations
   
3. Missed reports
   
4. Data model inconsistency
   
5. Gap in filling attributes, views, and filters.

Answer in the comments or dm me.

Sharing a feature pattern that fixed a real annoyance for WhatsApp-based sales/support.

The problem with most WhatsApp auto-reply setups: every trigger fires for everyone. A long-time customer who just says "hi" gets the same new-customer welcome blast as a stranger. Spam/ad numbers get a full automated greeting nobody asked for.

The fix was giving every trigger an audience:

• Not saved (fresh lead) → welcome + catalog
• Saved (existing contact) → exclusive offer, or nothing at all
• All when it genuinely applies

Two things that were harder than expected to get right:

• It fires on closed conversations, straight from the chat list — the user never opens the chat. System detects on its own whether the contact is in the address book.
• A per-contact cooldown so someone who messages repeatedly doesn't get the same auto-reply 5 times.

Curious how others here handle segmentation on inbound auto-replies — do you branch by contact status, by keyword, by funnel stage? (I build Lyra, a CRM that runs inside WhatsApp Web — happy to share details if useful.)

Hello, I did search and saw the last post asking this was 5 years ago, so I hope this is okay.

There’s just so many crms

We own a driving school with 12 instructors, so we have around 2000 students a year. We currently use and have been using agile CRM for many years now, but I find it lacklustre for the price (I moved it over from paper cards originally so it was amazing at the time). I would also like to note that we are in Canada.

So I’m looking for a crm that isn’t too expensive but can have unlimited contacts. I don’t really want to delete them, because we have students come back to us asking for a certificate or more lessons years later.

I would like to have it used for 2 users.

I would like to send invoices and payment reminders easily and or automatically.

I would like to document payments better.

I would like to be able to mark students as “complete” when they finish.

Thanks so much for any advice or recommendations!

Oh and as a bonus question, is it possible to integrate one crms contacts into a new one?

I’ve been building custom automation flows for B2B clients as a freelancer. The building part is fun, but the handoff process is giving me a massive headache every single time.

If I host their workflows on my own servers, I become their unofficial 24/7 IT support. If something breaks at 3 AM, they expect me to fix it instantly, plus there are massive data privacy liabilities. But if I ask them to rent their own VPS or set up their own cloud account so I can deploy the files, they get completely overwhelmed by the technical jargon. I waste hours just walking them through how to generate API keys or input credentials.

How are other freelancers handling the client handover phase? Do you package everything into their own infrastructure from day one, or have you found a way to deliver the solution as a simple, front-end interface they can just use without seeing the back-end?

Hi everyone,

Looking to help with CRMs for people in exchange for testimonials. Have been doing automations and crm organisation for a few years so am quite technical. drop your problems below or msg me.

I have noticed it's an umbrella term for any software that helps you manage customers.

There's usually contacts to leads to qualification to signing contracts, but also things like email automation, LinkedIn integration, workflows, AI, alerting/notifications and analytics duct taped together.

Then there's different CRMs for freelancers, for mid size companies, for B2B and B2C etc. How fo we even define what features should each CRM have? What are some good learning resources to read on this topic?

My CRM has option to bulk outreach via email. A user's feedback made me rethink how my CRM sends cold emails.

I have built a follow-up focused CRM for small businesses. A user recently told me:

"I made a list of companies to cold-email, but your system only lets me bulk-email leads. There's no way to email the company address directly."

He had a point. Many companies list a public email (info@, contact@), but you can't always find a specific lead behind it. My bulk-mail flow assumed a lead always exists — which isn't true for cold outreach.

So I added direct company-level bulk email.

How do other CRMs handle this? Do they let you email a company record directly, or does every email have to go through a lead first?

Wij zijn een mkb bedrijf dat een all in one erp systeem speciaal voor onze branche gebruikt. Alles zit hierin crm, service contracten, onderhoud, verkoop modules, onderdelen inkoopmodules etc.

Vanwege kredietwaardigheid willen wij de daadwerkelijk klanten in onze erp CRM hebben maar niet alle prospects of leads of hoe je het maar wilt noemen.

Toch komt er vanuit allemaal tools en de website wel veel dingen binnen. Telefoonnummers emailadressen ook weten we in veel gevallen al waar iemand geintressseerd in is.

Toch doen we daar niks mee, we slaan deze nergens in een database op, we doen niet aan email marketing. Ook gebruiken we de data niet goed voor retargeting op google etc. Omdat al die data vaak uit google komt zoek ik een platform waarmee we hier dus wat mee kunnen

Waarmee we leads om kunnen zetten in daadwerkelijke klanten. We zijn een klein bedrijf en het kan totaal niet uit om een extra platform van €800 p/m erbij te hebben.

Zo prijzig is hubspot, terwijl ik het idee heb dat ik voor €40 p/m precies hetzelfde krijg bij brevo.

Daarom mijn vraag wat is beter qua prijs kwaliteit?

De hubspot proffesional zouden we miss 10% van gebruiken niet eens dus dat vind ik het niet waard

Kan brevo even veel? Ervaringen met brevo?

looking to switch to the same. any reviews? initial thoughts of our org is to have a cheaper alternative and something ai native (planning to integrate ai support in our org). can anyone share your experience?

Hi All,

We are a small not for profit start up. We’re seeking out a CRM to take care on our client intake, etc. The issue is we have little no funding. We are a fully volunteer service providing free tax assistance to low income individuals, so basically little capital/revenue to spend.

Any suggestions for a CRM that is affordable (free) for us to use? Free as we will have NO revenue or capital.

Thanks for your input.

Ich habe das schnellste CRM der Welt gebaut, ich weiß jetzt aber nicht weiter, um es zu vermarkten. Wer kann mir Feedback geben, wie ich als nächstes weitermache?

Soll ich hier einfach meinen Link teilen?

anyone have experience with Front.com? as a Omni channel inbox it looks amazing but it’s not getting a lot of attention it seems?

A client ran a bulk import that overwrote key contact properties across thousands of records. Lifecycle stages, lead scores, custom segmentation fields, all silently replaced with bad values from a misaligned CSV column. By the time of the 'oh s**t' moment, the damage was days old.

Unfortunately, they were not on the enterprise-level restore. The property history shows exactly what changed, but there's no native way to reverse it at scale on that tier. It was just days of manual spreadsheet work.

That incident pushed us to build a proper backup and restore layer for HubSpot, Notion, and Figma because the native safety nets have real gaps depending on your tier.

Triple-check your CSV mappings before importing, and consider using a third-party backup/restore tool (under the SaaS shared-responsibility model, HubSpot secures the infrastructure, your data is your responsibility).

We're building this restore layer and looking for a few testers to give us feedback. DM if interested.

I'm here to read you, be the shoulder to cry on, or laugh if it's been long enough, as I've never personally done this before, so I have no story to share, but I've been thinking about what migrating to a new CRM could be like.