Added a new feature today:
Free @n8n_io and/or @make_hq audit for your workflows. No API keys needed, just paste the workflow json and @iqpipeapp will do preliminary audit.
outbound was converting at 0.8%
so we automated it
volume went up 8x
pipeline went up 1.3x
we'd built a very efficient broken process
automation doesn't fix broken outbound. it scales it.
#GTM#SalesAutomation#OutboundSales
lead score: 92
based on:
- job title from 8 months ago β
- industry field overwritten last week β
- email opens from a sequence that hit spam β
the model wasn't broken
the inputs were broken
lead scores are only as good as what feeds them
#GTMOps#LeadScoring
sent a "just checking in" email
6 minutes after the prospect replied on LinkedIn saying they were interested
they mentioned it on the discovery call
timing failures are the last thing you instrument
and the first thing prospects notice
#Outbound#SalesOps
which channel sourced the deal?
LinkedIn said LinkedIn
email said email
the AE said cold call
nobody was lying. nobody had the full picture
attribution requires a shared event timeline across every tool
most stacks don't have one
#RevenueOps#GTM#Attribution
our @HubSpot webhook stopped firing tuesday afternoon
we found out on thursday
two days of pipeline dark. no alert. no error log. just silence
webhooks are the connective tissue of your GTM stack
and they fail without telling anyone
#GTMOps#SalesEngineering
your SDR has them in @heyreach_io
marketing has them in Instantly
your AE added them to Outreach after a reply
the lead is getting 3 parallel sequences with no team aware of the others
this is a visibility problem.
#SalesOps#GTMEngineering
clay said 91% fill rate
after removing stale data, wrong titles, and overwritten fields?
54% usable
enrichment tools optimize for fill rate, not accuracy
those are not the same thing
#GTM#DataEnrichment#Clay
your GTM workflow ran
it enriched. it sequenced. it triggered.
but did it actually work?
"it ran" β "it worked"
that gap is where pipeline quietly leaks
#GTMops#SalesAutomation
One GTM decision. Two approaches.
Direct tool APIs: 5 calls, ~1,670 tokens, 0/4 checks correct.
One @iqpipeapp call: 1 call, ~340 tokens, 4/4 correct.
The token savings are fine. The real problem is confidently wrong outputs at scale across your whole pipeline.
Wrong inputs don't just hurt. They compound.
https://t.co/SnBtHCcKU6
You spent 3 hours building a workflow.
It ran once, perfectly.
Then someone on the team changed one small thing and now you don't know if it's still working.
This is the actual job.
The worst GTM failures are silent.
A tool stops firing. Nobody notices for two weeks.
@iqpipeapp tracks each tool's heartbeat and flags when something goes quiet β #Clay dark, 200 emails with 0 replies, deals closing with no source attached.
Hours to find the leak, not end of quarter.
"This lead was sourced 5 times."
No. Sourced once. Re-delivered 5 times.
Webhooks retry. Platforms re-fire. Two tools report the same event.
@iqpipeapp dedups on stable identity, not delivery ID. Five redeliveries β one truth.
Wrong counts at the top compound into bad decisions at the bottom.
Reply rate dropped. What changed?
Usually nobody knows.
@iqpipeapp mirrors every node in your n8n/Make workflows and tracks changes. When someone removes the enrichment step on a Tuesday, you'll know that's why performance dipped on Wednesday.
Structure + change history = explainable performance.
@iqpipeapp runs a read-only MCP server.
Point @claudeai at it and ask:
β "Which workflow drove the most pipeline last month?"
β "Is this lead safe to contact?"
β "Where are leads leaking?"
Claude stops guessing from memory. It gets live GTM truth instead.
Two sequencers. Same lead. Both enroll them.
Your prospect gets hit twice. Reply rate drops. Sender rep takes damage.
Before enrolling, call @iqpipeapp Overlap Check API:
active: true β skip
active: false β safe
One IF node. Done.
One lead. Five tools. Five different IDs.
The @LinkedIn record never finds the email record. A case-mismatched email splits in two.
@iqpipeapp unifies on email + phone + LinkedIn β one contact, one timeline, no matter how many tools touched them.
Attribution, overlap, journey mapping all depend on getting this right first. One lead. Five tools. Five different IDs.