u/AffectionateHat3785

Been in a few implementation reviews lately and the same issues keep coming up, thought it was worth a real discussion here.

The biggest culprits I have seen:

1. Scope creep on integrations — teams underestimate how messy connecting ServiceNow to legacy ERPs, HR systems or third-party tools actually is. REST/SOAP mapping sounds simple until you hit edge cases at 2am.

2. No ownership of the platform post-go-live — the implementation partner leaves and nobody internally knows how to manage flows, ACLs or update sets properly.

3. Over-customization in Year 1 — orgs build custom tables and scripts before they have even used OOB features. Upgrade nightmares follow.

We have been helping a few mid-sized companies untangle exactly these problems lately — if you are curious about how structured integration planning changes the outcome, this write-up covers the approach we use: softprodigy.com/servicenow-consulting-implementation-services

But genuinely curious — what's the worst integration failure you've seen or inherited? ITSM–SAP? HR integrations? Monitoring tool chaos?

After running Meta Ads across multiple accounts, one pattern keeps repeating:

Most campaigns are not failing because of bad creatives or targeting — they are failing because there is no feedback loop between data and decisions.

Here’s what I mean:

A brand launches Meta Ads → gets conversions → but never feeds that data back into:

• creative iterations
• audience refinement
• landing page adjustments

So every campaign becomes a “fresh start” instead of a compounding system.

What actually moves the needle on Meta Ads:

1. Creative iteration > audience hacking Winning accounts don’t find one winning ad — they build systems to test 10–15 creatives every 2–3 weeks.
2. Use conversion data to refine messaging If your top buyers are responding to a specific angle (price, trust, speed), double down on that narrative across ads + landing pages.
3. Retargeting is not just “warm audience ads” Segment based on behavior:

• Video viewers vs. site visitors
• Add-to-cart vs. checkout abandoners Each group needs a different message, not just the same ad again.

1. Align Meta Ads with actual business metrics Too many teams optimize for CTR or CPC instead of:

• CAC
• LTV
• blended ROAS

That’s where scaling actually happens.

A small observation from working with different teams (including agencies like SoftProdigy and others):
the accounts that scale are not the ones with the best ads — they are the ones with the best systems.

Curious — what’s been the biggest bottleneck you have seen with Meta Ads lately?