I am a dj who got tried with trying to keep track of events and leads… I decided to make an app myself.

I learned how to code and I wrote the app. It took me years to write It’s not perfect but I am proud of my work.

The app runs on native windows machines only which has the app catering to a select few of users who are old school like me. But idc I made the app for myself and I like to sit at home on my pc when following up with leads.

It integrates with Google Calendar (if I mark a lead as booked it automatically blocks it out on my calendar)

The app was designed to run from a localized database and it also syncs it all to a cloud database.

If you’re a gig worker (dj, photographer, event planner) anyone whose work is based on a service that ends on a certain day. It can probably work well for you.

I’ve been thinking about how much of our business data gets stuck and scattered across our CRMs, email, payment platforms, and operational tools.

The CRM problem is what particularly got me thinking. I’m exploring a way to continuously collect and update data from these tools, then store it in an independent database that we control.

The concept is pretty simple. With our data in one place, we could build internal tools, power AI applications, create reports across different platforms, or simply keep a complete, portable copy of our business information.

If this is something you would genuinely find useful for your business or just help make your life easier as a D.A, shoot me a DM with the tools you currently use and what you’d want to do with the data.

I implement CRMs for local businesses. Recently, I built a setup for a US-based clinic, and thought the workflow decisions might be useful to others working with appointment-based businesses.

Before this, the front desk and owner handled most things manually: confirming appointments, checking intake forms, giving aftercare instructions and remembering who was due back. They used Excel for reminders, separate booking, invoicing and newsletter tools, and a personal phone for patient texts.

We spent about five hours across a week mapping their process before building it. Their priorities were fairly straightforward:

• Make communication specific to the treatment.
• Reduce missed appointments.
• Keep routine work out of the CRM interface where possible.
• Clearly divide responsibilities between the front desk and treatment provider.

One opportunity per appointment, linked to the patient

This was the main structural decision.

A patient can have two upcoming appointments with different confirmation statuses, preparation instructions and follow-up needs. A single patient-level opportunity wouldn’t represent those independently.

Each appointment therefore gets its own opportunity. The main appointment stages are:

• Upcoming, unconfirmed
• Upcoming, confirmed
• Critical, unconfirmed: within two days of the appointment

The critical stage is the front desk’s action list. Automated messages handle the initial chasing, then staff get notified when a call is needed.

The clinic also treats bookings made within four days of the visit as confirmed. That’s their operating rule rather than explicit confirmation from the patient (an important distinction when interpreting the pipeline).

Booking and intake

Patients book through the website and receive an acknowledgement by email and SMS.

The workflow checks whether they have previously completed the initial intake form. If not, the acknowledgement directs them to it. Known personal details are prefilled so they don’t have to enter them again.

Clinic calls and texts run through a dedicated number rather than the personal phone.

Reminders and escalation

The schedule includes:

• Booking acknowledgement
• Four days before
• One day before
• Two hours before

These use a mix of email and SMS. For unconfirmed bookings, the four-day message includes a confirmation link that updates the appointment record.

If the appointment reaches the critical stage without confirmation, automated chasing is followed by a front-desk notification if there’s still no response.

Cancellation and rescheduling links are included in the relevant messages, along with the clinic’s cancellation policy.

Six treatment categories determine the communication

The clinic offers multiple treatments. We grouped them into six categories, which control preparation instructions, aftercare and longer-term follow-up wording.

That gave us a manageable number of workflows while keeping messages relevant to what someone actually booked.

The day before the visit:

• The patient receives preparation instructions for their treatment category.
• The provider receives the relevant patient profile and intake information before the appointment.

Attendance without another login

Fifteen minutes after the appointment starts, the provider receives an SMS with a link to record attendance.

This lets them complete a routine action without opening the CRM.

Aftercare and return visits

The setup includes treatment-specific aftercare and a review request, with an internal check for whether a previous review has been recorded.

Longer-term follow-ups are scheduled at two, three and six months. Both the timing and treatment category affect the wording, rather than sending the same “time to book again” message repeatedly.

Treatment and follow-up tags also let the clinic identify relevant groups for future outreach.

The most useful part of the discovery work was deciding which actions needed a person, who owned them, and what information they needed at that moment. Building the automations came after that.

For others using a sales-oriented CRM for repeat appointments: do you use an opportunity per visit, a separate appointment object, or another structure? And what reminder cadence did you find most useful/relevant?

One issue with CRM systems that often gets overlooked is how data quality degrades when multiple teams follow different workflows. Sales may update contact details, support may maintain separate case notes, and management may rely on reports built from records that are already outdated.

Over time, these small inconsistencies create bigger problems: duplicate customer profiles, unreliable pipeline forecasts, incomplete interaction histories, and conflicting information across departments.

User adoption is another part of the problem. When the CRM requires more effort than the process it replaces, people tend to maintain parallel spreadsheets or enter only the minimum information required. That creates gaps that become difficult to identify later.

I think CRM reliability depends heavily on clear data ownership, consistent field definitions, and workflows that fit how teams actually operate. Without those foundations, even a well-configured system can produce misleading reports and poor decisions.

Hey everyone, I built a local tool for freelance solopreneurs.

Running cold outreach from a basic spreadsheet gets exhausting real fast:
dialing numbers by hand all day, jumping across windows, and stressing over missed callbacks.

Big-name CRMs are very expensive when you start out and are complete overkill when you work for yourself, while most sales tools feel bloated just to make a phone call.

So I built my own thing: Prospect Legend.

It’s a 100% local Windows app designed for freelancers (no cloud, no APIs, no accounts: you actually keep your data to yourself) that turns any .xlsx spreadsheet into a smooth workflow cockpit.

It lets you import your Excel file to click-and-call, instantly log outcomes so contacts automatically sort into the right tabs, and fire off pre-filled follow-up templates straight from your sheet (you can set up 4 custom templates).

You also get a built-in calendar for reminders so you never drop the ball, plus a bit of gamification with an XP system to keep morale up.

I’m looking for 5 to 6 more freelance beta-testers who deal with cold outreach.

For beta users: there’s a 30-day free trial period, an exclusive discount at launch, and a direct say in future features.

If you want in, drop a comment or DM me.

CRM implementation can become challenging when business processes are unclear or teams are not prepared for the transition. Inconsistent data, limited user training, and poor workflow alignment can create confusion and reduce productivity.

A well-planned implementation helps teams maintain reliable information, coordinate tasks, and manage customer relationships more effectively.

We recently rolled out attio, and there's a lot I like. Being able to ask AI to change views, move things around and summarize my deals is pretty cool. still finding it a little less intuitive than HubSpot (deals and companies are in same page, along with the list of contacts, for Attio I need to click into each field which is little annoying) which I used at my previous company but I'm getting used to it and learning more into AI

The bigger thing for me as a AE lead is the usual problem of getting everyone to actually update the CRM. always a tough one getting the top reps to stay hygenic.

Initially, I thought the AI agents helped. My team was happy enough to use them, and updates were getting done. But after a week or two, I started reading through the records and found notes scattered across different sections. There was information in Notes, in Description fields, but it was hard to follow, and some of the nuance was missing.

I tried using Grokbot to auto update my CRM as well but it just felt so clunky for me to set up let alone get my team to do it.

So I ended up asking everyone to write their own meeting notes again. Which felt a bit backwards after introducing all this automation.

I think I’m landing somewhere in the middle. If a field has a clear, factual value, great, automate it. For meeting notes, I still want the rep’s own account of what happened and what they think matters.

We already had Willow Voice across the company, mostly for our leadership to use, so I’ve started getting reps to dictate their CRM notes with it too. I give them all a structure to start off with and they can talk through a longer update without having to type everything out. Early days, but so far that’s been working better for us to have all the info in one place, and having all the point of a CRM plus it is also cleaned up.

How are other sales leads handling this? What do you let AI update. and what do you still ask reps to write themselves?

I run my own business selling insurance, and like a lot of people doing outbound calls, I'm working leads in multiple states and all four time zones.

There's a Federal flat rule and then there separate rules about what hours you can call and how many times you can call in 23 other states. They keep changing and I couldn't find any website that was completely up to date. All the states have totally separate websites for this. The hours by state can be really different through the week, Saturday, Sunday and Holidays. For instance Monday was Columbus day and telemarketing is flat banned in states like AL. Several states ban the number of calls/texts you can make in 24 hours.

Under the TCPA, statutory damages for violations covered by the Act can be $500 per violation and $1,500 for willful or knowing violations. State penalties vary, but in some jurisdictions they can reach into the tens of thousands.

I work with 2 different CRMs and it turned out that both of them only block the Federal guidelines of 8 am to 9 pm.

I went online and the few places that posted the rules were not official and hard to read. I set up an AI scraper and just went after all 50 states to find the individual rules. It turns out that the sites that I checked all had at least a few mistakes because the rules keep changing.

So I set up a page that lists all the rules per state with links to the citations that refreshes every morning after the AI run check. There's an email signup on that page that will only send you notifications when rules change. No marketing or anything else.

The problem I kept running into was: "how am I supposed to remember all of these calling rules while I'm actually working?"

I didn't want another checklist sitting beside my computer. I wanted my CRM to warn me before I made the call.

So I built CRM Call Guard.

It's a chrome extension that works "out of the box" on 6 CRMs so far and has a 1 minute configuration to get it to work with almost any CRM. There's a feedback button and if someone has a CRM that offers a free trial I can get it to recognize it in about half an hour.

I'd appreciate feedback, especially from people who spend their day calling leads. If there's a rule, CRM, or real-world calling situation I've overlooked, I'd rather hear about it now.

It runs in the browser on top of the CRM you're already using. It checks the lead's location and local time against the rules I've compiled and gives you an indicator right beside the call button. Everything stays in your browser.

If you're inside the calling window, you get a green indicator.

If there's a problem like the wrong time, Sunday/holiday restriction, frequency limit, then it turns red. If you click the call or text button anyway, Call Guard stops you and tells you why before letting you decide whether to continue.

The rules are kept up to date without you having to do anything.

I built it originally because I needed it myself. Once it was working, I figured there had to be other agents and agencies with exactly the same problem.

So I'm hoping to grow this mostly through agents or white label agencies telling other agents about something that's actually useful rather than dumping money into ads.

The extension is $24/month for two users and has a 7-day free trial.

*CRM Call Guard is a calling-hours/contact-frequency aid, not legal advice or a guarantee of compliance. It doesn't determine consent or Do-Not-Call status.*

Hi! I've been doing newsletters and campaign content for a big retailer for a while. Our CRM & loyalty position has been posted for several months now, and they still haven't found anyone. We're a bit outside the city, so I don't think many people want the commute. I asked my manager if I could take on the responsibility in the meantime, and it looks like I might get it. Let's be real though, it's probably mostly because nobody else has applied who fits.

To be honest, I'm not loving it at the company right now, and a lot of that comes down to feeling micromanaged (I’ve several times experienced someone in my team, just one person though, going in and changing the links in the newsletters so they’re wrong??). Part of why I want this is that it would be my own area. Nobody else really knows CRM there, so I'd finally get to make my own calls without someone looking over my shoulder on every little thing. And it could also be a good way to gather more experience and open new doors (I hope?!).

From the job description, the role covers:

- member communication (newsletters, landing pages, member content)
- developing the loyalty club and member benefits
- segmentation
- automated customer journeys (welcome flow, post-purchase, reactivation)
- analysis and reporting
- working with marketing and e-commerce

We're also moving to Voyado soon, and the role covers two chains.

The posting says you don't need 10 years of experience or to be an analyst. They want hands-on CRM experience, curiosity and someone who gets things done. I'm solid on the content side and already do a the newsletter analysis. But I've never built automated flows or worked on the actual loyalty program (points, tiers, the money side of it).

So for anyone who's done a role like this:

- I have a meeting with my manager today and want to ask for the right support. What would you ask for in my position? Training, courses, a mentor, clearer decision rights? What actually helped you?

- What was the hardest part when you started?
- Has anyone gone through a platform migration (Voyado or similar) early in the job? Any tips?
- Did owning CRM actually give you more freedom, or did you end up with just as many people having opinions?
- Anything you wish you'd learned before day one?

Would really appreciate any honest experiences, good or bad!

fiz um CRM porque cansei de usar CRM, e queria ouvir quem vive isso no dia a dia

trabalho com vendas B2B há um tempo e sempre tive uma relação meio de ódio com CRM. na prática ele vira o lugar onde o vendedor presta contas pro gestor, não onde ele trabalha de verdade. aí ninguém atualiza, o gestor olha número velho e no fim todo mundo volta pra planilha e pro WhatsApp.

umas coisas me irritavam muito. cadastrar empresa digitando razão social e endereço na mão, sendo que tá tudo na Receita. mandar proposta em PDF e ficar no escuro, sem saber se o cliente abriu ou se é hora de ligar. o SDR qualificar um lead, passar pro vendedor e a informação se perder no meio do caminho. e pagar caro em ferramenta gringa que cobra por módulo, numa conta que não fecha pra time pequeno.

então comecei a construir o meu, o sales2revenue. a ideia é ser simples pra quem vende e útil pra quem gerencia. você coloca o CNPJ e ele preenche a empresa sozinho, importa a planilha de leads que você já tem sem duplicar tudo, e toca os negócios num funil em Kanban. a proposta sai de dentro do próprio negócio, com a cara da sua empresa, e você fica sabendo quando o cliente abriu de verdade (não conta robô nem ele dando F5). se ele gostar, aceita ali mesmo com um clique.

pro gestor tem um painel com funil, conversão, receita e metas por vendedor, e dá pra clicar no número pra ver quais negócios formam ele.

a parte que mais tenho curtido é a Mavis, a IA que fica dentro do CRM. no dia a dia ela resume o histórico de um lead ou negócio, sugere o próximo passo, rascunha e-mail e ajuda a preencher a qualificação. mas onde ela brilha mesmo é como SDR. você define o perfil de cliente ideal da sua empresa (ela até monta um rascunho olhando os negócios que você já ganhou) e delega os leads pra ela. ela pesquisa a empresa na internet, cruza com os dados da Receita pelo CNPJ, dá uma nota de 0 a 100 de aderência explicando o porquê e já te entrega uma sequência de três e-mails pronta. ela mostra de onde tirou cada informação e não manda nada sozinha: você revisa, ajusta e aprova, e aí as atividades caem na agenda do vendedor. a ideia é tirar do SDR a parte chata de pesquisar e deixar com ele a parte de conversar.

o que eu queria mesmo era achar uns times comerciais pequenos dispostos a usar e me falar sem dó onde tá ruim. se curtir a ideia, me fala aqui embaixo que eu libero o acesso.

e fica a pergunta pra quem quiser só opinar: o que mais te irrita no CRM que você usa hoje?

Hey, I’m new to CRM and looking for sample data to practise with for Hubspot service hub. Can anyone help me with sample datasets or suggest how I can practise using CRM tools hands-on? I’m learning CRM to transition from EdTech to SaaS Customer Success roles. Thanks!

[ Removed by Reddit on account of violating the content policy. ]

I am curious about how do you actually do it.

Businesses often have customer feedback and signals coming from multiple channels - chat, emails, tickets, etc. Keeping track of what actually is relevant is not as easy as it seems. One issue may be mentioned across two separate channels, and it is very easy to miss it.

So, I wanna know how are you doint it?

1. How do you de-duplicate incoming feedback?

2. How do you differentiate between noise and actual signals?

3. How do you categorize it (theme, tag, sth else)?

4. Do you have a threshold before you decide if a feedback is worth focusing upon?

5. What happens if you do not have enough evidence/feedback to take action? (For example maybe one or two customers complaining about a feature)

I'm from a technical domain, so I don't really know how feedback analysis is actually done on scale. Would like to know what approach do you follow. Trynna explore into this so your actual experience and workflows would be helpful

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!

Solo dev in Melbourne. Last 12 months I've been building and selling ops software to small businesses on a monthly sub, about a dozen on it now. One of them also runs a small finance company and has asked me to build their back office from scratch.

Rough shape: a portfolio of active customer accounts, each with separate budgets (rego, insurance, fuel, servicing), money coming in monthly from employers, expenses paid out and recorded, monthly statements to each customer, and the whole thing has to reconcile to one bank account every month. All client money, none of it theirs, so a stuff up is serious. 2 or 3 users to start.

Where I've landed:
- Three phases, fixed price each, half up front half on sign off. Around $48k AUD total. A quoting tool as an optional fourth phase later.
- Software records and calculates, never moves money. Humans pay from the bank, system reconciles.
- I keep the IP so I can sell it to other businesses in that industry, they pay less because of that.
- Small yearly fee for hosting and updating the tax tables.

Never priced a custom build before, only ever done subs, so no reference point. Questions:
1. Fixed price per phase with a written sign off each, is that the right shape or do people regret it?
2. Does $48k sound low for ledger grade work where a mistake costs real money?
3. Anyone done the "I keep the IP, you pay less" thing, what did you wish you'd put in writing?

Cheers

Advertising platforms can tell you what you spent and how many conversions they recorded. Your CRM can tell you which leads moved through the pipeline and which became customers. But those numbers don’t automatically tell you what acquisition actually cost once the data is reconciled.
That gap is what led me to build CDAI (Capital Decision Accuracy Intelligence) under Allocera Intelligence.
CDAI is a deterministic reconciliation engine built to connect advertising data with CRM outcomes and available acquisition-cost data. It calculates True CPL, True CAC, and contribution margin, then evaluates campaign economics and produces a directive: SCALE, HOLD, CUT, PAUSE, QUARANTINE, RENEGOTIATE, INVESTIGATE, or FLAG.
The point isn’t to replace a CRM or another reporting dashboard. It’s to reconcile the numbers behind acquisition decisions so a campaign isn’t judged on lead volume or platform-reported performance alone.
I’m looking for a company using HubSpot or Salesforce alongside paid advertising to participate in a pilot. I’d work directly with the team to compare CDAI’s findings against its existing reporting and identify where the numbers agree, where they don’t, and whether those differences change a budget decision.
For people responsible for paid acquisition and revenue operations: how do you currently reconcile ad spend with CRM outcomes and the actual cost of acquiring customers?

Dear community, I'd appreciate hearing about your experience with a challenge I'm facing in Dynamics CRM (Customer Insights - Journey).

In CRM, we have contacts that interact with our company from different roles: partners, alumni, donors, event attendees, newsletter subscribers, etc.

They also have different emails for different roles: corporate emails, private emails, etc.

So, in the end, we end up with duplicates, which I can merge, of course, but it raises the following questions:

• What happens with their consent/subscriptions?
• How do I distinguish, in segments/journeys, which email to use for different communications?
• How should I behave with forms? For example, if I have different emails for different roles in a related table, how would I match them with existing contacts
• And if I match them to that contact with flows, then for example, with event forms, I will need to send an email confirmation, and Journey is set up to send it to emailaddress1.

So, for forms, I assume the obvious approach is to use leads, not contacts, but then I will need to create an event registration for a lead, not a contact? How would I then see this history?

Thank you to everyone who finds time to answer it

In growing businesses, it becomes harder to track customers' data and follow-up with them. Information might be scattered around, there might be some people who do not know about the changes and duplicated entries become a problem.

The first problem is related to the fact that one needs to have all customer information in one place. The second problem is to understand which activities should be automated while others remain manual. Integration of a CRM system with email, sales, and customer support systems is complicated when these applications are not compatible.

In my opinion, it is very important to understand the approach to customer information in order to choose a CRM system accordingly.

If you are using CRM software already, what problems did you face in working with it? Was it information management or follow-up tracking, tool integration or team participation in using the system?

Suppose a small B2B team finds two contact records that appear to be the same person. One has the meeting notes and an open task; the other is linked to an active opportunity. Someone merges them, then a rep discovers they were two different people with similar names.

Exporting the contact fields before the merge seems necessary, but not sufficient. Restoring two names and emails doesn't automatically put the notes, tasks and opportunity links back where they belonged.

I'd want a pre-merge record of both IDs, the conflicting fields, and which activities/relationships belonged to each. The merge review would also show those relationships, rather than just ask which phone number to keep. I wouldn't let the merge silently decide which active follow-up should continue.

For teams that have had to undo a mistaken merge, what information made recovery possible? Is a pre-merge export plus an activity/relationship map enough, or do you require a native unmerge option before allowing routine merges? I'm asking about the recovery process, not recommendations for a different CRM.

1. Introduction

We are a Vietnamese law firm currently using Slack for internal communication. However, as our operational needs have expanded beyond communication, we are looking for a more comprehensive application that supports work management, centralized data management, workflow automation, and information sharing across departments.

We are looking for sales representatives, collaborators, or implementation partners with experience in enterprise software consulting, work management, CRM, workflow automation, and AI to help us research, recommend, and implement a suitable solution.

2. Specific Requirements

A. Finding a Work Management Platform with Centralized Data

We are looking for a platform that can:

• Centralize data and work-related information in one system.
• Manage tasks and subtasks, and organize work into approximately three to four categories or workstreams.
• Create and customize workflows, assign tasks, track progress, and automate relevant operations.
• Integrate with Google Calendar, Google Drive, Slack, and other tools currently in use.
• Support AI-powered search, information retrieval, or summarization, where feasible.

Our evaluation criteria include ease of use, data security, data export and migration capabilities, user and account limits, storage capacity and file upload limits, system performance, overall costs, plan-specific restrictions, and the risk of unexpected or hidden charges.

B. Integrating Workflows Across Sales, Business Development, Legal, and Other Departments Where Needed

We aim to establish an integrated system connecting different departments, from initial customer information collection to the completion of legal services.

The proposed workflow is as follows:

• Sales/Business Development: Enter customer information, business, investment, or legal project details, location, and other required data into structured forms. The system should use this information to calculate or assist in preparing quotations. Complex cases should be escalated through a ticketing system for separate pricing assessment by the person in charge.
• Work Handover: Once Sales has completed the required information, the system should automatically transfer the relevant records and data to the Legal team, minimizing repeated manual data entry.
• Legal: Receive the information and carry out the work according to defined workflows, including client communication, finalizing the transaction or scope of services, processing documents, and completing the relevant legal tasks.

3. Features and Implementation Capabilities to Evaluate

3.1. Workflow Automation and Document Templates

• Configure conditional workflows, automatic task assignments, ticket transfers, and notifications to relevant departments.
• Connect customer and project data with Google Workspace, including Google Sheets, Google Docs, Gmail, and mail merge tools.
• Build a standardized library of forms and legal documents, including ERC, IRC, and other relevant legal application documents.
• Allow data to be entered once and automatically populate the corresponding forms through field mapping between data fields and document templates.
• Support template version control, access permissions, and safeguards to minimize data-related errors.

3.2. AI and Data Validation, Where Feasible

• Read and extract information from documents, images, and supporting documents provided by customers.
• Compare extracted information against manually entered data, identify discrepancies, and flag them for review.
• Validate incoming data, identify missing fields, and flag potentially inconsistent or unusual information.
• Assess whether Google Gemini and other existing AI tools can support these requirements.

Our company currently uses Google Business with Gemini integrated. Therefore, we would like to explore and compare the following two AI implementation approaches:

1. Integrating Google Gemini with our existing Google Workspace tools and a work management application: Is this approach technically feasible, and can Gemini be integrated into the selected platform to support the workflows described above?
2. Building a custom AI Agent or integration solution: This approach would be considered if existing tools cannot fully meet our requirements.

For both approaches, we would like to assess technical feasibility, accuracy, legal data confidentiality and security, setup and operating costs, maintenance requirements, and overall effectiveness compared with using existing off-the-shelf solutions.

4. Expected Scope of Support

We are looking to work with individuals or organizations that can:

• Assess our requirements and recommend suitable software products.
• Compare solutions based on features, costs, integration capabilities, and usage limitations.
• Arrange product demonstrations or trials to test our actual workflows.
• Evaluate integration possibilities between work management platforms, Google Workspace, Slack, CRM, and AI tools.
• Provide implementation and configuration consulting, develop automations, or establish API integrations where necessary.
• Provide a clear cost estimate, defined scope of work, and implementation roadmap.

We prioritize solutions suitable for a small or medium-sized company that are easy to use, scalable, and do not require unnecessarily complex infrastructure.

If you have a suitable solution or experience implementing similar systems, please introduce your recommended tools, the requirements they can address, estimated costs, and proposed implementation approach.

We are looking for a practical, needs-based consultation and would consider proceeding with an implementation partnership if the proposed solution meets our requirements.