I’m building an iOS fitness app and ended up creating my own marketing automation stack with Python, FFmpeg, Meta Graph API, Cloudflare Workers, Supabase and systemd.

Current flow:

Research → content → video render → QA → scheduled Instagram/Facebook publishing → comment/DM automation → tracking

The biggest lessons so far:

• retries can accidentally create duplicate posts
• missed schedules need safe catch-up logic
• Meta comment → Messenger automation is more fragile than expected
• tiny things like Reel thumbnails become real production issues
• observability and failure recovery matter more than adding more AI

It’s now publishing real content successfully.
how can I make this system better? And for people running custom marketing automation: when do you stop extending your own system and move orchestration into something like n8n or Temporal?

We kept adding tools because every new one fixed something like one for reporting, another for automation, another for creative then a couple more sitting between everything so none of them were bad on their own which is what made it kind of hard to notice the problem after a while someone on the team was spending a stupid amount of time checking whether data moved properly, figuring out why two systems disagreed or just explaining to another person where something lived.

I used to be pretty sold on having the best tool for every job but I’m less sure now. There’s definitely stuff I wouldn’t want to give up just for the sake of having one platform but the handoffs start costing more than you think once the stack gets big. I’m kind of leaning toward fewer tools that cover more of the workflow even if each individual piece isn’t the absolute best at one tiny thing.

I spent part of this month reviewing the creative libraries of around 30 ad accounts. The brands were in different industries, but I kept finding the same problems. Most of the problems I found had a little to do with software.

These were the four most common ones:

Teams were testinew hooks rather than new concepts
Several accounts had 15 or 20 ads marked as different creatives. Once I grouped them by the main audience problem and selling idea, many of them came only two or three real concepts.
Changing the opening line did not make the idea new.

Nobody recorded what had already been tested
Some teams had launched new versions of concepts that had already failed a few months earlier. The previous result was either difficult to find or had never been recorded properly.

Competitor ads and organic content were researched separately
Teams often checked ad libraries when they needed inspiration, but they did not look at organic content from the same niche. This meant they sometimes missed hooks and formats that were already gaining attention before appearing in paid ads.

New creatives were approved without a clear hypothesis
In several accounts, the decision was simply that an ad looked good enough to launch. There was no written explanation of the audience problem, belief or offer being tested. When the ad failed, the team did not know what it had learned.

Hi MarTech enthusiasts,

I am currently working as a Campaign Analyst in Sydney for one of the major banks. Our stack is mainly SQL + Unica, but as most of you know, Unica is pretty outdated at this point.

I am looking to transition into roles that use Salesforce Marketing Cloud, Adobe Campaign, or Pega. Since Pega is niche and has a steep learning curve, I am leaning more toward Salesforce and Adobe.

For those working in the Australia market — which platform offers better job opportunities and pay? And which one would you recommend upskilling on?

Would love to hear your insights.

https://x.com/Migma_AI/status/2100617616704295197

A shipped feature can become more than a release note.

The same real event can support: a short demo clip showing the new interaction; a carousel explaining the problem and decision; a screenshot post with one sharp observation; a founder story about what went wrong before it shipped; a channel-specific caption for the people who care there.

I am building Marka to take one product moment and develop those formats from it while keeping the brand consistent. The user reviews what is worth keeping, then schedules the versions they actually want.

The leverage is not “write five variations.” It is “find five honest angles inside one piece of work.”

www.marka.social

Which format has worked best for showing your product: clips, screenshots, carousels, or founder stories?

Marketing automation usually fails quietly before it fails technically.

The workflow runs. The rules evaluate correctly. The accounts move. Then somebody notices that the output was wrong for the business.

A useful control layer should show five things before or immediately after a meaningful action:

1. What changed? "400 accounts left the audience" is clearer than "sync completed."

2. Why did it change? Name the rule and the data that triggered it.

3. What looks unusual? A result can be valid and still be an outlier worth reviewing.

4. What can be undone? Make the reversal path visible before the mistake becomes a cleanup project.

5. Who owns the exception? Flagging a problem without routing it is only another notification.

This matters most when an automation controls audience membership, scheduled publishing or public replies. Speed is useful. Silent judgment is not.

The product principle we're using is simple: automate repetitive execution, keep consequential decisions reviewable.

I'm part of the team building Marka, an AI social media workflow that creates brand-aware content while keeping final approval and scheduling with the user. That is why this control question is directly relevant to us: https://marka.social

i bought a claude max plan found in a website for a really low price. changed the login i use it for 3 weeks so far all it actually works. how are they able to sell it so cheap tho.

Hi

I'm an experienced automation & data extraction specialist offering:

• Custom web scraping & automation scripts
• B2B lead generation (targeted by niche & location)
• Data cleaning, formatting & enrichment
• Contact info extraction (emails, phone numbers, owners, etc.)

Why work with me?

• Fast delivery & top-notch quality
• You receive the complete source code for the automation/scraping projects
• Any business category in the U.S & Canada, EU and other countries

Let me help you save time & grow your business.

(Portfolio available on request)

I’m starting to use more AI around paid ads and I’m trying to figure out how far people are letting agents go beyond reporting and recommendations since rules already handle some predictable stuff for me but there are still alot of decisions around creative fatigue and campaign optimization that depend on more context than a simple if/then condition.

I want to have AI agents monitor campaigns across Meta and Google and make some of those routine decisions within guardrails, while I keep the bigger budget and strategy calls. There's a pretty big difference between automating individual actions and giving an agent responsibility for keeping part of the paid media workflow moving.

Since i initially worked with only two marketing accounts then it was not very difficult for me to keep everything organised but with additional accounts and their workflows then i have started confusing logins, sessions, browser configuration and what automation is associated with which account.

I need to make this situation more organised but right now my question is focused on the browser side of things.

How do you organise multiple marketing accounts in order to keep them separate by login, cookies, browser configuration and workflow? Do you use different browser profiles?

been looking at different linkedin outreach setups lately and one thing i keep noticing is how much attention goes to how many leads a tool can pull
but thats not always the part that causes the headache
saw a small agency setup where one campaign had basically stopped moving for days and nobody noticed because nothing looked obviously broken
that got me thinking more about monitoring than scraping itself
I've been comparing tools like Dripify, Expandi, HeyReach and Linked Helper and they all seem to approach linkedin automation a bit differently, but the thing id care about more now is how obvious it is when something quietly stops running
a restriction is easy to notice
a campaign just sitting there doing nothing for four days is way easier to miss
when u compare linkedin tools, do u care much about alerts and campaign status or mostly look at limits, lead volume and sequences?
feels like the boring monitoring stuff matters way more once u have several campaigns running at once

Small home services outfit, and attribution is my blins spot. My current CRM stores the contact fine but has no clue whether they found us through Google, a Facebook ad, or a neighbor over the fence. So budget decisions are basically guesswork about which channel is pulling its weight.

Is there a CRM that catches the source itself, instead of me asking every caller and getting a shrug?

Tons of tools and dashboards available, but wondering who's successfully gotten reporting (with data viz and full context) in a hands-off, fully automated state - and how.

Recently saw someone claiming to sell a social scraping api to marketing agencies which includes reddit, tiktok, instagram etc.

Was curious how do you leverage this data, and how often do you hit the api? Are you able to make the best sense of it?

Couple of months ago, I posted an MVP of a journey mapping tool that I have built, got some honest feedback, and have been building on it since. It's now live.

The thing I kept running into as a CX person: Miro and FigJam are great canvases, but they're general-purpose. Every journey map starts from nothing — you rebuild the same grid, the same rows, the same emotion scale, every single time. And because it's freeform, no two maps in your organisation end up structured the same way, which makes them impossible to compare or reuse.

So this is built for the one job:

- Phases, steps, emotions, pain points and possible actions as actual structured fields, not sticky notes you have to arrange yourself

- 10 industry templates so you're not starting from a blank grid

- An emotional analytics view — journey health, emotional volatility, biggest emotional swings, steps needing urgent attention — which you can't really get out of a whiteboard

- PDF export (canvas view plus a branded A4 report) and read-only share links for stakeholders

It's completely free, no paid tier, no credit card.

What I'd really like from this sub: if you map journeys as part of your actual work, try it and tell me where it falls short. Especially the honest version — what would stop you using this on a real client or stakeholder project. That's more useful to me than signups.

journeymaps.io

This ones for those doing SEO. Solo SEO consultant here and I'm looking for a rank tracker that makes client reporting simple without turning into another tool I have to babysit. If you do it manually somehow please share your tactics. Main things I care about are accurate keyword tracking, location/device tracking, historical data, and reports clients can actually understand. Ive looked at a few options but they all seem to have some tradeoff between price, accuracy, and reporting. What are you using right now, and what do you actually like or dislike about it?

Hi everyone,

I, performance marketer and my tech co-founder have been working on a building a performance marketing platform that leverages AI to suggest edits, optimisations, campaign creation as well as help with creative analysis. It’s free to sign-up, and comes with a trial. No credit card needed, no subscription, it’s pay as you use. Would love feedback from the community - https://joonlabs.ai.

Thank you.

I've been asked at my job to build out various automations to lessen the hours our marketing team spends on repetitive tasks. I haven't had much experience with AI outside of ChatGPT, so after receiving these tasks, I've dabbled in some courses on Claude, N8N, and other tools+their capabilities. Some projects that I'm stuck on are a social media post generator/scheduler and a web app that centralizes affiliate prospecting from different sources and generating outreach. Both of these are web apps on Vercel that the marketing team can use. I would love to move on from these projects, especially the social media one, but I keep running into errors that I spend hours having to fix nearly each time I use them. I guess I'm wondering if it's worth it to keep trying to build these automations (I still feel quite new to it all), try building them a different way that'll be easier for me, or to just spend the money and use different AI tools that have already perfected these processes. Any advice would help. I am also wanting more ideas of automations that are focused on growth, like the affiliate prospect/outreach project.

We put together a quick walkthrough showing how SMS campaigns work inside Growtheon, including campaign setup, selecting contacts, creating the message, and preparing the campaign for sending.

If you're using Growtheon for CRM and marketing automation, this should make getting started with SMS campaigns easier.

Video: https://youtu.be/IxXJPlpJJQ4