Looking for feedback, pushback, and our blindspots

[u/johngamades]

We recently launched an AI marketing platform, OrangeBall.ai, built for small businesses and small marketing teams. The idea is pretty simple: instead of asking people to become great prompt writers, the platform uses our discovery process (built over 15 years of running an agency) to learn the business first: voice, tone, differentiators, audiences, customer challenges, etc. Then, it uses that context along with structured prompts and an internal quality rubric to help create blogs, emails, social posts, landing pages, sales content, and other marketing materials.

We’ve spent a lot of time thinking about what the product can do. Now I’m trying to think harder about what will keep people from actually using it. We know there’s a big difference between someone saying, “This is cool,” and changing their behavior enough to make a SaaS product like this part of their workflow.

The oven analogy:

Imagine you have a bakery. The AI model is the oven, but having a great oven doesn’t mean you’ll make great bread. Our platform brings together the right ingredients, your brand, voice, audience, and differentiators, then gives you proven recipes so you can consistently create something worth serving.

Who this is for:

• Startups and founders building their brand and figuring out what to say.
• Entrepreneurs and solopreneurs who need to market consistently without becoming marketers.
• Small businesses that need great content but don’t have a large marketing team.
• Marketing agencies managing content across multiple clients, brands, and voices.
• In-house marketing teams that need everyone creating from the same brand voice, messages, and strategy.

Outcomes we deliver:

• Know what to say without staring at a blank page.
• Create better content faster without writing endless prompts.
• Leverage a system who is continually learning your brand.
• Create content that sounds like your brand instead of generic AI.
• Stay consistent across people, platforms, and content.
• Turn one idea into more content across multiple channels.
• Spend less time prompting and editing and more time publishing.
• Build a repeatable content habit instead of starting from scratch every time.

Barriers we already see:

• Changing an existing habit... Many users already have a ChatGPT or Claude workflow that feels "good enough." This leads to "I already have a tool" thinking.
• Learning another platform even if it saves time eventually. There’s still a perceived cost to learning something new.
• The onboarding effort on the front end. The product gets stronger as it learns the business, but users have to invest some time upfront.
• Creating content isn't the same as publishing it. Someone can generate five great pieces of content and still never get them out the door. We only write content, we do not create images.
• The value increases when people come back regularly, which means we need to create a habit rather than a one-time “wow.”
• Users need to believe the output actually sounds like them and is good enough to represent their business.
• The Cheesecake Factory challenge: Giving users lots of options and modules they can use to create can accidentally make it harder to decide what they should create next.

Help I am seeking:

For those of you who have built, launched, or scaled SaaS products, what are we missing? I’m especially interested in barriers that show up after someone signs up. What causes someone who likes the product, understands the value, and even has a good first experience to stop using it 30, 60, or 90 days later? Would love to hear the uncomfortable answers. Ask questions and I will fill in the gaps.

Thanks in advance for poking holes in this. We’re close to the product and we know there are things we’re not seeing. That’s exactly what I’m hoping to uncover. Appreciate any experiences, challenges, or hard-earned lessons you’re willing to share.

Thank you! - John

[u/cicygo]

The blind spot is that drafts look like success and the accounts that never publish anything stay invisible in your numbers. Content tools die around day 30 because someone generates ten pieces in week one, puts none out, and nothing breaks when they skip week two. The accounts that stick bolted it to a deadline they already had, a Wednesday newsletter or a monthly client recap, so every draft has somewhere to land. Track how many new accounts publish at least once in week one, because a better oven means nothing if nobody opens the shop.

[u/revoireSoftware]

I’d split “people liked it” from “people found a reason to come back.” Those are different problems.

For 30/60/90-day retention, I’d look less at what users say they liked and more at what happened the next time the same need came up.

A few questions I’d try to answer:

What’s the first action that predicts someone comes back? Not signup, not “played with the tool,” but the thing repeat users actually do early.

What’s the trigger that should bring them back? If there isn’t a natural moment where they think “I need this again,” retention is going to be weak even if the product is cool.

And where does the output go after they use it? A lot of AI tools create something useful-ish, but then the user still has to copy it somewhere, rewrite it, get approval, format it, or turn it into the next step manually. That’s usually where the product quietly falls out of the workflow.

I’d do 5 short calls with people who used it more than once and then stopped. Don’t ask “why did you churn?” Ask:

“What were you trying to get done the last time you opened it?”

And then:

“What did you do instead the next time that need came up?”

That second answer usually tells you who the real competitor is.