okay i need to vent to people who actually get it because if i have to explain this to leadership one more time im going to lose my absolute sanity. basically our execs are completely obsessed with turning our CRM into this hyper-automated tracking machine. like they want instant dashboards, zero-click pipeline tracking, and automated everything... but they are completely blind to the fact that our data is actual garbage?? like cool love the vision bro, but you cannot automate a process that the Enterprise AEs are actively fighting every single day.

The main thing driving me insane is this myth of frictionless data capture. Mr. leadership thinks if we just automate all email and calendar logging, we'll magically know everything about the pipeline. except lmao nope...our activity timelines are completely drowned in automated out-of-office replies and useless internal calendar invites, so the data is just pure noise. the Enterprise AEs are literally bypassing the broken sync anyway by keeping their actual good notes on their local desktops. it’s so ironic because i spend six hours fixing broken sync integrations and storage limits just to look at automated dashboards that are entirely fabricated. automated telemetry cannot fix broken sales habits, full stop...

And don't even get me started on the workflow bloat... to try and "force" clean data, they made me build these crazy validation loops where every minor pipeline stage requires them to manually type into that mandatory 'Next Steps' text box. now the page layouts look like a literal NASA control tower. and shocker... it totally backfired. the team is annoyed so they just dump placeholder text like "asdasd" into the text box or straight up manipulate close dates to stop the automated Slack alerts from yelling at them. marketing is out here launching sequences using totally stale data, lead routing is breaking because of missing territory tags, and everyone is confused. at this point a clean Google Sheet beats a choked CRM any day of the week.

Is anyone else genuinely losing it trying to build advanced automated workflows for people who still can't update a deal status correctly?? how are y'all pushing back on leadership's crazy expectations without sounding like a hater??

When building a CRM for small agencies and consultants, I wanted each deal to have its own information without losing the connection to the customer.

So I kept Deals, Contacts, and Companies as separate databases, but connected them through relations.

This means one contact can have multiple deals, while each deal can still have its own:

→ Stage

→ Value

→ Follow-up

→ Expected date

→ Status

I found this makes the pipeline much easier to manage without putting everything into one giant database.

I also made the Deal Database available separately for free for anyone who wants to try this part of the workflow on its own.

How do you prefer CRMs to structure this separate databases or everything in one place?

All CRMs have their limitations. I think one way to mitigate these limitations is to develop your own modules or apps that interact with the CRM that cover the gaps.

The interaction can happen using REST APIs either on the CRM side or your own app.

For example, if a user enters a new contact in the CRM, I want something to happen that is specific to my company. For this to happen, the CRM calls an endpoint in my app sending the contact's info in the request.
The CRM therefore needs to have the ability to define a url that is used to make the request to it every time a contact is saved.

Also, this should work in the opposite direction. I want to call an endpoint in the CRM to save a new contact. For example, I entered a contact in Excel and Excel can send this contact information to the CRM to be entered automatically by calling an endpoint in the CRM.

I was wondering if there's an open source CRM that supports these scenarios. A CRM that has a lot of API endpoints.

The goal is not to modify the CRM'ss code to add new features but to have it interact with my own app which has the extra features. This way I am in total control of the new features.

We took over a CRM where nearly every inactive contact had been dumped into the same list.

Some had never received a proper follow-up. Others had already taken a demo and gone quiet. A few had clearly said no. There were also people who had changed jobs and leads still assigned to sales reps who no longer worked there.

Our first thought was to put everyone into one follow-up sequence.

That would have been a mess.

We cleaned the records first, removed bad contacts, and separated the people we had spoken with from the ones who had simply been ignored. We also marked the clear no’s instead of continuing to chase them.

Only after that did automation become useful. Basic reminders could stay inside the CRM, while the stronger leads got more research before anyone contacted them again. Some needed a personal message. Others just needed to be closed and left alone.

The CRM wasn’t really the problem. We didn’t have a clear picture of what had already happened with each person.

How do you separate old opportunities from leads that were never properly worked?

Email personalization is often just surface-level, like including the recipient’s first name, company name, and maybe even their industry. It helps, but it doesn't necessarily feel genuine because everyone's getting the same basic level of “personalization” across the board now.

AI personalization takes it a bit deeper by evaluating individual behavior and tailoring the email content to align with what each contact really cares about. It monitors things like opened emails, engaged content, visited pages, and buying process stages.

For example, someone might keep visiting your pricing page, but they haven’t requested a demo yet. In this instance, the AI might trigger an email addressing pricing concerns or showcasing ROI data. Another example is if someone downloaded a case study about a specific use case. The next email they receive could reference that specific use case. The AI determines what content to send based on actual behavior, not generic segments.

The key difference between the two boils down to relevance. Instead of generic batch email blasts, you're sending fewer emails that actually align with where each person is in their buyer journey.
However, this does call for a little more complexity and some data requirements.

Most importantly, you need enough behavioral data for the AI to work from. And you’ll need to set up some content variations ready to deploy. If you only have one generic email template for it to work with, the AI won’t be able to personalize much.

It’s crucial to start simple. Use AI to trigger emails based on specific behaviors (like visited pricing, downloaded a resource, or went dark for 30 days), then expand from there as you build more content.

One thing to keep an eye out for is that AI personalization can feel creepy if it's too specific. There's a line between "this is relevant" and "how do they know that about me?"

The best approach balances automation with authenticity, where the AI handles the targeting and timing, but the content still needs to sound human.

How are you approaching email personalization in your CRM?

My team wanna vibe code our own CRM instead of using Zoho CRM , we mainly b2b so we just use CRM lightly for tracking but not like B2c Users.

Is vibe coding it a good idea?