Openprise

Most MAPs become junk drawers because they're asked to do two jobs. Data ops and engagement. When one tool tries to do both, AI initiatives stall and nothing is safe to change. Here's how to fix it without ripping anything out. openprisetech.com/resources/vide… #MarketingOps #MarTech

Most AI projects don't stall because of the model. They stall because the data pipeline underneath it is broken. AI is only as reliable as the data it reads. Fix the foundation first. #RevOps #AIOrchestration

SDR team loves Clay. Ops team is drowning in 400 duplicate "Cisco" records. Clay handles prospecting. Openprise handles what happens after it hits your systems. Two tools, one pipeline: openprisetech.com/blog/openprise… #RevOps #DataOrchestration

We covered 7 practical tips for fixing an overloaded MAP in our Composable MAP webinar. Find your pain point and watch that moment on demand. openprisetech.com/resources/vide… #MarketingOps #MarTech

AI doesn't quietly fail. It confidently fails — bad data in, bad answers out, with complete certainty. Most teams skip straight to "AI does stuff." That's why they're still running pilots in year three. Which stage is your team at? #AIOrchestration #RevOps

For most teams the right move is a hybrid. Keep the MAP for activation. Move data ops into a separate layer. No rip and replace required.

The fix starts with one low-risk move. Pull deduplication, enrichment, and normalization out first. Immediate relief. Your end users won't notice a thing.

Your MAP is probably doing jobs it was never designed for. Here's how to fix it without ripping anything out. 🧵

AI is on every GTM team's roadmap. But most are skipping the step that makes it work. Dirty data in = untrustworthy AI out. AI-readiness isn't about the model. It's about clean, standardized data before AI touches it. #AdobeSummit #RevOps #MarketingOps #AIOrchestration

AI doesn't quietly fail. It confidently fails — bad data in, bad answers out, with complete certainty. CEO Ed King at Adobe Summit: "Garbage in, garbage out. AI just does it confidently." Better data, not a better model. Seen this? 👇 #DataQuality #RevOps

Clay finds the people. Openprise makes sure they don't break your CRM when they arrive. 😅 Here's how the two work together 👇 openprisetech.com/blog/openprise… #RevOps #DataQuality #GTM

Even powerful AI tools like Clay can have agents that lie, leading to frustration. Dealing with an unacceptable AI response and then struggling to get human help creates a frustrating double-handicap. Resolving these issues is key. #AIErrors #SaaS

"50% enrichment match rate is pretty standard." No. It means half your records are flying blind. Multi-vendor enrichment exists for a reason. Use it. #DataQuality #RevOps #MarketingOps

MarOps morning routine: 6am: 47 Slack messages 6:05am: "quick question" from sales (it's not) 6:30am: dirty list. again. 6:45am: broken merge field in live campaign 7am: coffee. consider new career. This is automatable. All of it. #MarketingOps #RevOps

Your MAP is slow because it's doing two jobs at once. Data orchestration. Engagement orchestration. Pick one. April 30 webinar — we're showing what separating these layers actually looks like. Register: openprisetech.com/resources/vide… #MarketingOps

What happens in Vegas… ends up in your CRM. 🎰 We're heading to #AdobeSummit! Come find us April 20–22 in Las Vegas. We're talking AI-ready GTM data — what it actually takes, and what teams like Adobe are doing differently. 😎 See you in Las Vegas! #RevOps #DataQuality

Ops teams shouldn't be spending hours fixing CSV files before loading a list. We built a demo showing what automated list loading actually looks like. Watch it here: openprise.storylane.io/share/2tcpfauo… #MarketingOps #DataQuality

"Can you just load this quick list for me?" Wrong columns. Missing emails. Three date formats. TBD in every field. "Quick list" is never quick. It doesn't have to be this way. #MarketingOps #Automation