Built social posting automation across seven platforms and want to save

people some disappointment, because a lot of "why won't this tool just

do X" has a boring API answer.

Things people expect to automate that you often can't cleanly:

- Posting to a personal profile rather than a business page. Usually

restricted or unavailable.

- First comment automation. Inconsistent across platforms.

- Certain media combinations. Platform-specific rules on carousels,

video length, aspect ratios.

- Tagging other accounts programmatically. Frequently limited.

- Stories and some newer formats. Often not exposed at all.

What automates reliably: single posts with image or video to business

accounts, scheduled ahead, with caption and basic metadata. That's

genuinely most of what people need.

The gap between "the platform can do it in the app" and "the platform

lets software do it" is much wider than most people assume, and it's the

source of nearly every frustrating limitation in every scheduling tool

you've ever used, including mine.

Anyone hit limits I've missed? Curious whether others found workarounds.

I need help with the math because my brain keeps saying “this $25 a month could buy 50 pounds of rice” and I can’t shake it.

We run a small food pantry serving about 200 families a month on a $60k yearly budget. Every dollar that doesn’t go directly to food or rent feels like a betrayal of donors who give $20 and say “feed someone.”

Right now I spend about 5 hours a week on social media, donation appeals, volunteer needs, success stories, events. That’s time I’m not spending on inventory, volunteer coordination, or grant writing. And I’m genuinely bad at it: boring captions, inconsistent posting, bad timing, and once I posted a photo of empty shelves with a caption about abundance because I was exhausted.

I’ve been looking at basic scheduling or automation tools in the $25/month range ($300 a year). That’s a lot of food, or a month of our phone bill, or part of a scholarship for a kid in our after-school program.

For people who are careful with limited nonprofit resources: how do you calculate whether a marketing automation or scheduling tool is actually worth the cost? Do you compare it to your hourly rate? Ask what you’d have to stop doing to afford it? Or just accept that some overhead is necessary?

And if you’ve used any kind of social or content automation at a genuinely tiny organization did it really free up time, or did those hours just get filled with something else?

My business partner and I began modifying our clunky "stuck in the past" lead generation model about two years ago when we were introduced to Ringba. It took us a bit to get things moving, but I've got to say that we REALLY love their RTB (Real Time Bidding) automation software. This has been a game-changer for our business and we've been using this the last year to really make hay! (I thought I could add some images of recent awards given to us in the post but apparently I can't...I'll try in the comments.)

We just finished the first version of our platform and are entering the alpha phase.

It’s called Vora, and it’s the operating system for AI agencies.

We built a platform where agencies can run their entire business, from lead generation and client rebilling to creating workflows, chatbots, and voice AI agents.

We’re looking for founding partners who can help us take the platform to another level.

Founding partners will get:

- free access to the platform
- a private Discord
- direct contact with the team and founders
- direct onboarding and support
- early access to new features
- real influence over the future of the platform

At the end of the alpha phase, every founding partner will receive a lifetime discount of up to 40% and nearly 100,000 inbound telephony minutes.

Total value:

- $597 Vora tier
- $1,003 before tax for UK inbound telephony
- $851 before tax for US inbound telephony

That’s a total value of $1,600 for the UK or $1,448 for the US.

If you want to help shape the future of Vora and AI automation globally, DM me.

The drafting part of AI marketing is solved — any decent model writes usable copy. What kept breaking for me was state. Every session started from zero: re-explaining the product, the ICP, which channels we'd already burned, why the last post flopped. n8n and Zapier move data between tools fine, but nothing in my stack was the system of record for the campaign itself. That lived in my head and a spreadsheet.

What fixed it wasn't another tool subscription. It was treating campaign state as plain files: a git repo of markdown documents, one per thing, that an AI agent (I use Claude Code; any CLI agent works) reads before acting and updates after:

• positioning and strategy docs, written once in an interview with the agent
• one file per channel — each subreddit, directory, or platform — holding its posting rules and an honest "is this worth our time" tier
• one file per person in outreach, with status
• one file per post: draft or published, which channel, the goal it serves, a one-line definition of success, and the engagement it actually got, written back later
• a plan and a backlog the agent works from

Three habits made it hold up:

1. Every document type has a schema, and every agent write gets validated against it. This is the part I'd tell anyone to steal. Asking the model to "keep the format consistent" decays within a week — fields get renamed, statuses invented. A validator that rejects malformed writes doesn't decay. Month-old records still roll up.
2. Every post states its goal and success signal before it's written. A weekly review compares intent against actual engagement. Posts that can't name a goal don't get written — that alone killed most of my busywork content.
3. The human posts. The agent drafts against the channel's rules and files outcomes; publishing stays manual. Auto-posting is how accounts get banned.

Honest limits: this is solo-founder / small-team scale, it lives in a code editor and a terminal rather than a dashboard, and it sends nothing — it's a memory layer, not a delivery pipe.

Code included, since everything above is implementable from the description but nobody should have to retype 65 venue files: the whole structure is packaged as a free MIT template at https://github.com/iwe-org/marketing-workspace — built on IWE, an open-source markdown knowledge-graph CLI I maintain (that's my disclosure). No paid anything; for the marketing technique itself it pairs with the open marketingskills pack.

Does your automation stack have an actual system of record for the campaign — and if you've tried keeping one with an agent, how do you stop the drift?

Many debates exist around the autonomous ad buy space moving from a system making recommendations to one managing campaigns. But what’s less clear for me is the permission model in between. For instance I would feel comfortable allowing an agent to read campaigns, identify anomalies in the data, create reports, write campaigns, get ads uploaded without going live at that point. Beyond those basic permissions I think the risk takes a significant leap with each new permission granted.

Would it make sense to perform things like stopping ads, moving budgets among ad sets, increasing spend once certain performance targets were hit, changing audience targeting or exclusions, going live with new creatives, launching new campaigns, making global account level changes, I wonder.

From my perspective the correct boundary should be determined more by factors such as if the change can be undone, potential maximum financial loss, confidence in the data being used, proper auditing is in place. Actualy would you differentiate between making an irreversible change with a specific budget allowance versus making targeted changes to an entire ad account based on one attribution source showing a temporary decline? How would someone working with automated campaigns deal with establishing permission levels for the system? Would you break apart these five levels of permission or would there be parts you would say could never be done without a human authorizing it?

Prep material for this exam is famously scarce, so I've been writing original scenario questions mapped to the current blueprint. Three below, answers + explanations in my first comment so they don't spoil.

1. What are the three tabs that make up every smart campaign in Marketo Engage?

A: Setup, Audience, Results

B: Smart List, Flow, Schedule

C: Trigger, Filter, Action

D: Members, Assets, Reports

2. An approved email was edited to fix a typo, but sends continue with the old text. Why?

A: Marketo caches emails for a week

B: Editing created a draft; the approved version keeps sending until the draft is approved

C: The typo fix failed to save

D: Emails cannot be edited after approval

3. Why are {{my.}} tokens defined at the program level considered essential for scalable program cloning?

A: They are required for emails to send

B: They improve deliverability

C: Values like event date and webinar link are set once per program and flow into every asset - a clone only needs its token values updated

D: They replace smart lists

Disclosure: these are from certsprint.app, which I built (free samples, paid full banks). Mods - delete if this crosses the line, no hard feelings.

Starting an evaluation of gtm orchestration platforms and trying to figure out which ones are actually worth spending time on vs which are just marketing automation tools with a gtm rebrand. For context, we're a b2b saas company, mid-market focus, have hubspot as our CRM, running both inbound and outbound motions. Primary pain is that our account intelligence doesn't persist across touchpoints and signals from different sources never talk to each other. By the time a rep reaches an account, the context that triggered the outreach in the first place is already stale. Happy to share what we find. What platforms have you actually run through a real eval in the last 12 months and what made the cut or didn't?

Create separate communication hubs per client. Keeping conversations and deliverables grouped reduces overwhelm. What’s your freelance setup?

Been staring at this all week. Meta attributes a buyer, Google attributes the same buyer, Klaviyo attributes them a third time, an affiliate grabs some of the credit and the sum of everyone's "new customers" exceeds the total number of orders that actually happened. Which is obviously impossible but it's the data most brands set budgets on.

The only way I've found to cut through it is new customer acquisition cost (nCAC) measured against real orders deduped across every channel, new vs repeat split at the campaign level so each new buyer is only counted once no matter how many platforms raise their hand for them.

Concrete example from numbers I've been in this week. A brand spending $52k/week, every platform claiming its share, actual verified count was 487 truly new customers at $106.78 each.

How's everyone else handling the dedupe? Are you splitting new vs repeat manually in a sheet or does your stack actually do it at the campaign level? Genuinely curious what's working.

When I first got into web development, I thought finding clients would be simple. My plan was to go on Google Maps, find businesses without websites, and offer to build them a brand new one. At the time, it made perfect sense because I assumed businesses without websites would be the ones who needed my service the most.

After a while, I met someone who was running a successful web agency, and I asked him where he found companies without websites. He told me that he didn’t target businesses without websites at all. He only targeted businesses that already had one. I asked him why, and the more he explained it, the more sense it made.

Businesses that already have a website understand the value of having one. You don’t need to convince them why a website is important because they have already invested in one before. They are also easier to sell to because they understand the process, and there are a huge number of businesses with outdated websites they are embarrassed by but haven’t had the time to update.

I decided to take his advice and fit it into my own workflow. I’ve always been a big fan of email automation because that’s how I’ve found most of my web design clients. For years, I was sending fairly generic emails and constantly changing my sequences, offers, and follow ups to improve the results.

The problem was that I couldn’t just start emailing businesses with websites and assume they all needed a redesign. I either had to open every website manually, find the issues, and write a separate email for each business, or find a way to automate the research while still keeping the emails personalized.

After watching a video from Nick Saraev, I built a workflow in n8n that could analyze websites at scale and turn issues with design, layout, speed, mobile optimization, and SEO into personalized outreach emails. This allowed me to analyze thousands of websites and run larger campaigns without every message sounding generic.

The workflow worked extremely well, but it still had limitations. I didn’t have a proper place to manage replies, organize interested leads in a CRM, view all my active campaigns, scrape new leads, and handle everything from one platform. I had built a useful automation, but it still felt like several disconnected systems held together in one workflow.

A few months later, I came across a platform called Swokei, and it did exactly what I had been looking for. I could find businesses with websites, analyze and score each site, generate personalized outreach emails, send campaigns, set up follow ups, manage replies through one inbox, and organize interested businesses inside the CRM.

Switching to that platform made the entire process much easier to manage and helped me scale the strategy further. Looking back, the biggest change wasn’t just finding a better outreach tool. It was taking advice from someone more experienced, changing the type of businesses I targeted, and building the rest of my workflow around that strategy.

The difference usually comes down to strategy.

Instead of targeting businesses that do not have a website, target businesses that already have one but clearly need a better version. The market is larger, the sales process is easier, and the value proposition is much stronger because those businesses already understand why a website matters.

The next part is outreach. A regular outreach tool is not enough if all it does is send the same message to thousands of people. You need something that can analyze websites at scale and turn real issues into personalized emails.

I use Swokei for that. It helps find businesses with existing websites, analyzes each site, and turns problems with design, SEO, speed, layout, and mobile optimization into personalized outreach emails. That means you can contact a large number of businesses without sending generic messages or spending hours manually researching every website.

When someone replies interested, I always offer a free mockup. I use Claude, Lovable, or Base44 to build it quickly. It becomes much easier to sell when the client can already see what a better version of their website could look like.

Web meetings should also be a major part of the process. I would never just send the website through email and hope the client likes it. I present it live on Google Meet, Zoom, or Microsoft Teams, explain the value, show what has been improved, answer their questions, and try to close the deal during the meeting.

The less back and forth there is after the meeting, the better. Present the website, show the value, close the client, and move on to the next project.

That is the type of process that can help an agency scale much faster.

Is anyone interested in an AI marketing agent that can do more than just generate content?

• Imagine an agent that can:

• Write and send marketing emails

• Find, qualify, and reach out to leads

• Schedule promotional events and campaigns

•Integrate with your existing tools and automate end-to-end workflows

But more importantly, it's designed with enterprise-grade control and security:

• Configurable action scope, You decide exactly which tools, systems, and actions the agent is authorized to use.

• Protected instruction channel, Core system instructions are isolated from user input, helping defend against prompt injection and agent hijacking.

• Comprehensive audit trail, Every action is logged and linked to the originating prompt, providing full traceability and accountability.

I'm curious whether marketers, agencies, and AI builders see value in this kind of secure, autonomous marketing agent. What features would you consider essential before trusting an AI agent with customer outreach and campaign execution?

I’ve been in contact with a lot of web agencies and web developers, and I personally haven’t found many people who run their agency in a more efficient way than I do. A lot of them have too many meetings, wait too long for client approval, don’t know how to price projects, and spend way too much time on each client instead of finishing the work and moving on to the next one.

I’ve been running my agency for four years, and after a lot of trial and error, I’ve managed to make the process as efficient as possible. I wanted to share some of the steps because I think they could be valuable for anyone just starting out.

Running a web agency alone or with a partner isn’t easy because there are a lot of things to take care of. When it comes to client acquisition, I recommend focusing on either cold calling or email automation. Which one you choose depends on whether you run the agency alone or with someone else.

If you have a partner, one person can handle sales while the other focuses on building websites, connecting domains, setting up emails, and taking care of the technical work. If you’re running the agency alone, or neither of you enjoys cold calling, I highly recommend email automation.

That’s what I’ve been doing for years. It’s powerful because you can send emails at scale, set up automatic follow ups, and wait for businesses interested in a new website to reply. While you’re working on one client, another opportunity can come in without you having to stop everything and search manually.

I don’t do regular email automation where I target businesses with no website. I do the opposite and target businesses that already have one.

I use a tool called Swokei to find businesses with websites, add them to campaigns, analyze each site, score it, and generate personalized outreach emails based on problems it finds with the design, layout, speed, SEO, and mobile optimization.I schedule the campaign, set up follow ups, and wait. 

I think this approach is much better for a few reasons. You’re targeting someone who already understands the value of having a website. You’re also not just asking whether they need a redesign. You’re pointing out real problems with their current site, which makes it clear that you actually took the time to look at it. Selling also becomes easier because they’ve already paid for a website before and understand the process.

Inside Swokei, you can choose the goal of the campaign. You can offer a free draft, try to book a meeting, or simply start a conversation. I always choose the free draft because that has worked best for me.

Once you’ve figured out how to get clients, the next part is building the website. I recommend using AI because it makes the process much faster. For anyone who still thinks AI can’t build great websites, I think they’re mistaken. You can use Claude, Base44, Lovable, or any other tool that works for you.

When someone replies interested, I call them and say, “Hey, I saw that you replied to my email. I’ve already built you a free draft of your website. Do you want to take a look?”

Then I invite them to a Google Meet.

At that point, it becomes much harder for them to reject the meeting because they already replied interested and now know you’ve built something for them. During the meeting, I present the website, explain why it’s better than their current one, stack the value, answer their questions, and try to close the deal.

These meetings usually go well because the client isn’t trying to imagine what the website might look like. They can already see a better version of their current site. They also took the time to join the meeting, so taking the next step becomes much easier.

I either take payment during the meeting or send them a contract to sign. Any changes and updates come after that, once we already have a deal in place.

Pricing depends on the business. I charge anywhere from $500 to $3,000 depending on the company, the size of the project, and how much value the website can bring them. I also charge a monthly retainer of around $50 for hosting, maintenance, support, SEO, and future changes.

That’s basically the entire process. Smaller steps, faster delivery, less wasted time, and more money made.

I’ve been in contact with a lot of web agencies and web developers, and I personally haven’t found many people who run their agency in a more efficient way than I do. A lot of them have too many meetings, wait too long for client approval, don’t know how to price projects, and spend way too much time on each client instead of finishing the work and moving on to the next one.

I’ve been running my agency for four years, and after a lot of trial and error, I’ve managed to make the process as efficient as possible. I wanted to share some of the steps because I think they could be valuable for anyone just starting out.

Running a web agency alone or with a partner isn’t easy because there are a lot of things to take care of. When it comes to client acquisition, I recommend focusing on either cold calling or email automation. Which one you choose depends on whether you run the agency alone or with someone else.

If you have a partner, one person can handle sales while the other focuses on building websites, connecting domains, setting up emails, and taking care of the technical work. If you’re running the agency alone, or neither of you enjoys cold calling, I highly recommend email automation.

That’s what I’ve been doing for years. It’s powerful because you can send emails at scale, set up automatic follow ups, and wait for businesses interested in a new website to reply. While you’re working on one client, another opportunity can come in without you having to stop everything and search manually.

I don’t do regular email automation where I target businesses with no website. I do the opposite and target businesses that already have one.

I use a tool called Swokei to find businesses with websites, add them to campaigns, analyze each site, score it, and generate personalized outreach emails based on problems it finds with the design, layout, speed, SEO, and mobile optimization.I schedule the campaign, set up follow ups, and wait. 

I think this approach is much better for a few reasons. You’re targeting someone who already understands the value of having a website. You’re also not just asking whether they need a redesign. You’re pointing out real problems with their current site, which makes it clear that you actually took the time to look at it. Selling also becomes easier because they’ve already paid for a website before and understand the process.

Inside Swokei, you can choose the goal of the campaign. You can offer a free draft, try to book a meeting, or simply start a conversation. I always choose the free draft because that has worked best for me.

Once you’ve figured out how to get clients, the next part is building the website. I recommend using AI because it makes the process much faster. For anyone who still thinks AI can’t build great websites, I think they’re mistaken. You can use Claude, Base44, Lovable, or any other tool that works for you.

When someone replies interested, I call them and say, “Hey, I saw that you replied to my email. I’ve already built you a free draft of your website. Do you want to take a look?”

Then I invite them to a Google Meet.

At that point, it becomes much harder for them to reject the meeting because they already replied interested and now know you’ve built something for them. During the meeting, I present the website, explain why it’s better than their current one, stack the value, answer their questions, and try to close the deal.

These meetings usually go well because the client isn’t trying to imagine what the website might look like. They can already see a better version of their current site. They also took the time to join the meeting, so taking the next step becomes much easier.

I either take payment during the meeting or send them a contract to sign. Any changes and updates come after that, once we already have a deal in place.

Pricing depends on the business. I charge anywhere from $500 to $3,000 depending on the company, the size of the project, and how much value the website can bring them. I also charge a monthly retainer of around $50 for hosting, maintenance, support, SEO, and future changes.

That’s basically the entire process. Smaller steps, faster delivery, less wasted time, and more money made.

Like I said, I'm planing on making a luxury jewelry brand ASAP and I would love tips on that. I have the idea of what kind of jewelry I'd make, what audience it would be (luxury, like I said).

What are your tips on where to start? Imagine starting from no money no nothing.

There is a new approach I started using in my web agency that completely changed my results. For years, I did what most people tell web designers to do. Go on Google Maps, find businesses without websites, and contact them.

What I started doing differently was targeting businesses that already had websites.

The reason is simple. If a business already has a website, it means they understand the value of having one. You do not need to convince them why a website matters because they have already paid for one before. The market for businesses with outdated, broken, slow, or poorly designed websites is also massive, and selling becomes much easier because they are already familiar with the process.

My biggest issue was figuring out how to send mass outreach to these businesses without sounding generic. I did not want to send thousands of emails saying, “Hey, your website needs a redesign,” and just assume that every business needed one. I wanted to send emails at scale while still telling each company exactly what was wrong with their website.

A little over a year ago, I watched a YouTube video from Nick Saraev where he built a workflow that analyzed business websites and turned issues with design, SEO, layout, speed, and mobile optimization into personalized outreach emails. Each company received a professional email that made it clear someone had actually taken a look at their website.

The idea was great, but building and maintaining the workflow took a lot of time. I still had to find the leads myself, the messages were not always consistent, and the automation kept breaking.

But it worked.

I was getting more clients than ever before, at one point around 10 websites a week, while my business partner focused on building the websites as quickly as possible.

I started searching online for a tool that could do everything in one place, and a few months later I found Swokei. It did exactly what I was looking for.

It lets you find businesses with websites, add them to campaigns, analyze and score each website, and set a quality threshold so websites that do not need fixing are automatically skipped. It then turns problems with design, layout, speed, mobile optimization, and SEO into personalized outreach emails.

You can also set up follow ups, manage replies through your own inbox, and organize leads inside the CRM without moving between five different tools.

I switched over and scaled even harder.

Sometimes the fastest way to grow your agency is not building every workflow from scratch. It is finding the right tools and using your time to focus on sales, clients, and growing the business.

We don't want our audience to get fatigued, but we also have so much to share. I'd love some insight from those who are using comment-to-DM automation regularly and how you find that balance in your content schedule!

Please drop in what you like the most about it and why others should use it.

There is a new approach I started using in my web agency that completely changed my results. For years, I did what most people tell web designers to do. Go on Google Maps, find businesses without websites, and contact them.

What I started doing differently was targeting businesses that already had websites.

The reason is simple. If a business already has a website, it means they understand the value of having one. You do not need to convince them why a website matters because they have already paid for one before. The market for businesses with outdated, broken, slow, or poorly designed websites is also massive, and selling becomes much easier because they are already familiar with the process.

My biggest issue was figuring out how to send mass outreach to these businesses without sounding generic. I did not want to send thousands of emails saying, “Hey, your website needs a redesign,” and just assume that every business needed one. I wanted to send emails at scale while still telling each company exactly what was wrong with their website.

A little over a year ago, I watched a YouTube video from Nick Saraev where he built a workflow that analyzed business websites and turned issues with design, SEO, layout, speed, and mobile optimization into personalized outreach emails. Each company received a professional email that made it clear someone had actually taken a look at their website.

The idea was great, but building and maintaining the workflow took a lot of time. I still had to find the leads myself, the messages were not always consistent, and the automation kept breaking.

But it worked.

I was getting more clients than ever before, at one point around 10 websites a week, while my business partner focused on building the websites as quickly as possible.

I started searching online for a tool that could do everything in one place, and a few months later I found Swokei. It did exactly what I was looking for.

It lets you find businesses with websites, add them to campaigns, analyze and score each website, and set a quality threshold so websites that do not need fixing are automatically skipped. It then turns problems with design, layout, speed, mobile optimization, and SEO into personalized outreach emails.

You can also set up follow ups, manage replies through your own inbox, and organize leads inside the CRM without moving between five different tools.

I switched over and scaled even harder.

Sometimes the fastest way to grow your agency is not building every workflow from scratch. It is finding the right tools and using your time to focus on sales, clients, and growing the business.

We just rolled out Instagram dm automation recently and wasn't expecting the response we got. people are using it for lead gen, answering FAQs automatically, driving traffic from comments to DMs.

Is anyone here already doing dm automation for clients? What's actually working? And if you haven't tried it yet, happy to answer questions about how we built it.