u/Heavy_Plan7527

I want to share an interesting case study and know what the community thinks about it. Well, Picsart was facing a problem that a lot of apps are running into, the ad campaigns are getting more expensive across Meta and google, CPMs are rising and downloads are staying flat.

Sponsoring a product like Picsart is especially tricky with static creatives, since it's not intuitive to explain and it's hard to show the actual use case. Instead of burning money on creatives with high CPMs, they decided to scale distribution volume by running a UGC campaign through Sideshift. They brought in a huge number of creators and focused the content on showing the product actually being used, like a stunning photo getting retouched or an interesting app feature in action, and that's what made the content go viral.

They flooded TikTok with content, some videos went viral, others performed normally, but the result was mass distribution across both TikTok and Instagram. After 6 months they got:

  • 185M total views
  • 13,500 posts published
  • $400k total spend so $2.16 CPM
  • Top 10-25 App Store for 5 consecutive months

The $2.16 CPM is the key metric because for a mobile app campaigns on Meta hovers around $8-14 CPM depending on targeting.

So thanks to this UGC campaign, they saved a lot of money and growth organically

What made it work was:

1. Product-Focused videos: The hook was always the editing moment, the before/after, the transformation, so they focused on a good feature

2. Go with the gut: 13,500 posts over 6 months is roughly 72 posts per day You can't get there with a curated influencer approach. Lots of the success of this was driven by the creativity of the creators itself and good idea sourcing processes

3. Mass distribution: High volume... Really really high. By the law of large numbers, out of a huge amount of content, some of it is bound to go viral.

Source: https://sideshift.app/casestudies/picsart

u/Heavy_Plan7527 — 14 days ago
▲ 208 r/jobs

I only found out because a company I was interviewing with told me something felt “off” after they spoke to my previous manager. This is someone I worked for over a year, delivered on everything, stayed late when needed, never caused issues. We didn’t end on great terms, but nothing that would justify trying to block me from getting another job.

At first I was just confused. Then it hit me how unfair it is that one person can basically shape how others see you without you even being in the room. No context, no chance to respond, just their version of you.

What bothers me the most is that it makes you question everything. Was I actually bad and didn’t realize it, or is this just someone being bitter? And either way, I’m the one paying for it.

I know I’m not the only one this has happened to. References are supposed to help, not become a personal weapon. Just needed to get this off my chest because it genuinely messed with my head.

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u/Heavy_Plan7527 — 14 days ago

I spent the last few weeks actually testing these instead of just reading landing pages, because the space has gotten crowded and most roundups feel like they were written by someone who never opened the product.

I run support ops for a mid-size SaaS, around 3k active users, so the ticket volume isn't our main problem. The problem is repetitive questions that eat agent time, users who drop off before getting an answer, and handoffs that lose context halfway through.

I tought (wrongly) that an AI chatbot would immediately deflect tickets. Some tools created more work because they escalated too aggressively or hallucinated product-specific answers. That forced me to actually think about what each tool is good at.

Chatbase: Best for teams that want a trained assistant without an engineering team This one ended up higher on my list than I expected, you can build a chatbot trained directly on your own content docs, PDFs, URLs, help center articles and it stays on topic because it only answers from what you fed it. No hallucinated pricing, no wrong feature descriptions

Intercom Fin: Very good for in-product support tied to user context. It's good when support needs to reflect what the user has actually done inside the product. The downside is that you're paying Intercom prices for the full platform whether you use it or not.

Zendesk AI: Reccomended for large teams with existing Zendesk infrastructure, adds intelligent routing, sentiment detection, suggested replies. Makes a mature support operation smarter, if you're starting from scratch maybe is not good for u

Freshdesk Freddy: for early stage teams that want something simple, it covers the basics auto assignment, suggested replies, FAQ deflection. It’s reliable and affordable, nothing crazy

Tidio: Very good for ecommerce-adjacent SaaS or small teams Strong live chat base with AI layered on top. Good if your users expect fast real time responses and you have a small team covering multiple channels.

Your team maybe dont need a sophisticated AI agent. An Ai Agents should handles the repetitive 60% of questions accurately so humans can focus on the 40% that actually require judgment.

reddit.com
u/Heavy_Plan7527 — 17 days ago