https://idem-club.com
Can anyone explain what this is or how it works. I've been seeing payments being processed by this company at checkout.
When I go to their website it seems like some work of vacation time share.
Can anyone explain what this is or how it works. I've been seeing payments being processed by this company at checkout.
When I go to their website it seems like some work of vacation time share.
Been seeing a lot of discussion around AI-powered dispute management and chargeback automation lately. But I keep wondering if we're focusing too much on fighting chargebacks after they happen instead of asking why they happen in the first place.
For actual fraud cases, sure. But for a lot of B2B transactions, it feels more like confusion or "friendly fraud."
Think about it:
Merchant sends detailed invoice info → processor → banks → networks → issuer → customer.
Somewhere along that chain, rich transaction details can get stripped down. Instead of seeing:
Invoice #8874 | Annual software renewal |Tax included | 20 user licenses
Customer may only see:
PAYXYZ INC - $1,240
Then customer thinks: "What is this?" → calls bank → dispute starts.
This got me looking into Level 2 / Level 3 transaction data. More detailed transaction info sounds great in theory, but here's where I’m curious:
Even if a platform improves its architecture and passes richer data upstream, nobody controls the full chain. Processors, acquirers, networks, issuers, and even banking apps all handle data differently.
So does improving payment architecture actually reduce disputes in a meaningful way? Or does it just improve the odds while human behavior remains the biggest variable?
Curious to hear from processors, ISOs, SaaS founders, and people handling chargebacks daily. Have you seen better data visibility materially lower disputes? Or is "fix the architecture" becoming a new buzz phrase?
Is this a one off change or a start to something bigger?
We are a China-registered company serving primarily US/English-speaking customers. Our product generates AI-powered social media analytics reports based on publicly available engagement data.
Current setup:
* One-time digital report purchases
* Future subscription support may be needed
* Visa/Mastercard support required
* Mostly US customers
* Current volume is still early-stage but scaling gradually
We’ve found that processors like Stripe/Paddle/Lemon Squeezy may not be the best fit for our category and offshore structure.
We are mainly looking for:
* Stable long-term processing
* Support for offshore/non-US founders
* SaaS/subscription-friendly setup
* Reasonable fees
* Lower upfront/setup costs if possible
* Experience with higher-risk digital businesses
Currently exploring providers like Adaptiv, CardFlow, Vector, etc., but would appreciate any recommendations or experiences from others in similar situations.
Thanks!
With the complexity of modern card brands, is flat-rate or subscription pricing now objectively better for the average $20k/month SMB merchant?