Most teams already have follow-up workflows running inside their CRM.
The bigger challenge?
Keeping engagement relevant as customer behavior changes over time.
That’s where more adaptive lifecycle workflows come in, helping teams personalize timing, follow-up, and engagement beyond the initial sequence.
We broke down what that can look like using Copper + Tarvent 👇
#CRM #EmailMarketing #MarketingAutomation #SalesOps #CopperCRM
https://t.co/qEhkThijNw
@Jbm_dev I'll take you up on that. The engagement data is already being tracked and has been validated by several customers and testing. In other words, the hard part is done and tested. The MCP concept is next. I'll reach out when we're ready...and I'm happy to reciprocate!
@Tarvent: email marketing for indie SaaS who'd rather ship than market.
Real engagement intelligence (who's at risk, who's reactivating, who to email next), not just opens and clicks. Free tier.
Exploring next: an MCP server so you could ask Claude "who should I email this week" and get a real answer from your data. Would that matter to you?
https://t.co/E5QzwspH69
@Tarvent: email marketing for indie SaaS who'd rather ship than market.
What it does today: real engagement intelligence (who's at risk, who's reactivating, who to message next), not just opens and clicks. Free tier, native integrations with CRMs you actually use.
What I'm exploring: exposing that engagement engine through MCP so you could ask AI, "who should I email this week" and get a real answer from your real user data.
Worth signing up? And would the AI piece actually be useful, or am I solving the wrong problem?
This isn't my startup, but my next idea for @Tarvent that can seriously help builders like us:
Every "AI for marketing" tool I see is trying to write your emails for you.
What I actually want is the opposite. I want to ask AI "who should I email this week and why" and get a real answer from my actual user data.
Would you use that?
I've been building @Tarvent. However, I think I'm on to something.
Every "AI for marketing" tool I see is trying to write your emails for you.
What I actually want is the opposite. I want to ask Claude "who should I email this week and why" and get a real answer from my actual user engagement data.
Would you use that?
Working on more CRM integrations. Our goal is the same, create the best integration possible for each platform so we're the default suggested integration.
Seems easy, right? I wish, but we've done it twice and will continue as we move on to the next.
If you're looking for an ESP partner for your platform, let us know.
#EmailMarketing #MarketingAutomation #CRM #Integration #BuildInPublic
With our engagement system released, it's time to move on. We're looking for the next CRM platform to integrate with.
We know there are the big guys like HubSpot, Salesforce, and so on, but we're looking for the smaller platforms that find real value in the type of deep integration we will bring to their platform. Any suggestions?
Less Annoying CRM and Copper are done. Let's see who's next!
#EmailMarketing #MarketingAutomation #BuildInPublic #CRM #Integration
Through building Tarvent’s engagement system, the biggest lesson is pretty simple:
A lot of problems we blame on creative are really audience decision problems.
Better targeting logic does not replace good copy.
It gives good copy a better shot to work.
I may share the internal playbook template next.
#Tarvent #BuildInPublic #Engagement #EmailMarketing #MarketingOps #SMBMarketing
Build update on what is next for Tarvent’s engagement system:
We’re focused on improving:
- stronger recovery recommendations
- clearer stage transitions
- faster setup for lean teams
The model is getting better, but the real test is still this:
does it help a busy team make better decisions faster?
#Tarvent #BuildInPublic #Engagement #EmailMarketing #CustomerEngagement #LifecycleMarketing
The more we work on Tarvent’s engagement system, the less I believe these systems are ever “done.”
Behavior changes.
Lists change.
Businesses change.
So the logic has to keep evolving too.
Static engagement models age badly.
#Tarvent#BuildInPublic#Engagement #EmailMarketing #Deliverability #CustomerEngagement
One underrated benefit of building Tarvent’s engagement system in public:
It exposed weak assumptions earlier.
That feedback loop saved us time, saved us rework, and probably saved us from shipping a few things that looked smart on paper and weaker in practice.
#Tarvent #BuildInPublic #Engagement #EmailMarketing #MarketingAutomation #Deliverability
This week’s biggest takeaway from building Tarvent’s engagement system:
Averages are useful for summarizing.
Buckets are better for deciding.
That distinction has shaped a lot of our recent changes.
Next week I’ll wrap up the 90-day build-in-public run and share what we learned.
#Tarvent #BuildInPublic #Engagement #EmailMarketing #LifecycleMarketing #CustomerEngagement
A practical starting point from the work we’re doing in Tarvent:
If you want engagement metrics that actually help, start with these:
1) % of sends going to high-fit segments
2) At Risk → Engaged recovery rate
3) outcome by bucket
Those numbers tell you a lot more than staring at one blended average.
#Tarvent #BuildInPublic #Engagement #EmailMarketing #CustomerEngagement #Deliverability
Build update from Tarvent:
Our weekly engagement review is becoming a lot less average-heavy.
We’re prioritizing:
- segment movement
- lane performance
- bucket-level outcomes
Blended averages still have value.
They just should not be driving every decision.
#Tarvent #BuildInPublic #Engagement #EmailMarketing #Deliverability #MarketingAutomation
One thing Tarvent’s engagement work keeps reinforcing:
Higher opens do not automatically mean a healthier program.
You can improve surface metrics and still weaken intent quality underneath.
That is why we’re trying to measure what helps marketers make better send decisions, not just what looks nice in a summary.
#Tarvent #BuildInPublic #Engagement #EmailMarketing #MarketingAutomation #EmailMarketing
As we keep building Tarvent’s engagement system, I’m noticing how easy it is to fall in love with metrics that are simple to read and useless to run.
Vanity metrics feel productive.
Decision metrics are more demanding.
This week I’m sharing the difference.
#Tarvent #BuildInPublic #Engagement #EmailMarketing #EmailMarketing #MarketingStrategy
Week 10 lesson from building Tarvent:
A good system does not just surface data.
It protects attention.
That has become a core filter for this engagement work.
Next week I’m getting into the metrics that actually improve send decisions instead of just making reports look busy.
#Tarvent #BuildInPublic #Engagement #EmailMarketing #CustomerEngagement #MarketingAutomation