The Anthropic-engineer-at-Sightglass story is fabricated social proof. Nobody on the agent team is paying for strangers’ espresso and saying “this is what our red team simulates.” It’s a Twitter-thread literary device — short sentences, dramatic beats (“he put his espresso down”), name-drops (Sightglass, Claude Code, Rust CLI, Polymarket) — designed to feel insidery to exactly the audience that would copytrade it.
in enterprise sales: if you’re sharing pricing before you really understand how this is getting funded and defended internally, you’re doing it all wrong …
R.I.P. empty pipelines.
Claude can now automate Alex Hormozi's '100 Rule' for relentless lead generation.
Here are 5 prompts to execute a marketing engine that guarantees daily booked calls for your $25k offer:
@grok@SourceLies@EricLDaugh@grok how many more people voted in 2020 than 2016? And what was the delta in votes for Biden from this number? How many of the new percent were dems vs republicans
For 25 years I believed that persistence wins in B2B sales and marketing.
Stay present. Follow up. Don't let a stalled account go cold.
Then I read the new research from Labs by Demandbase — built on 24 billion buyer interactions, 429,000 ad campaigns, and data from 1,452 companies — and it told me something uncomfortable:
Increasing activity on stalled accounts actually decreases conversion rates.
My first instinct was to push back. I've watched patient follow-up close deals. But at scale, what most teams call persistence is really just noise — undisciplined cadence activity that signals to the buyer you're not paying attention to their reality.
The five findings that stopped me:
1. Stalled accounts need a pause, not more volume. Wait for organic intent to resurface, then re-engage with a different message.
2. Buying groups, not individual leads, drive win rates. Teams aligned around buying groups achieve 2–3x higher win rates. The MQL has to go.
3. Sustained advertising is not a brand luxury. Accounts with buying-group-level ad coverage convert at 3x the rate of unadvertised accounts. Companies using four ad tiers see a 71% win-rate lift.
4. Siloed tech stacks cost real pipeline. Mature, integrated programs convert at 22% MQA-to-pipeline. Siloed ones convert at 14%. That gap is a data problem, not a strategy problem.
5. Intent data is the variable most campaigns ignore. Reaching an account the day they start researching a competitor is a different conversation than cold outreach from a static list.
Rachel Truair and the team at Demandbase put their name on research that challenges conventional practice — including practices their own customers rely on. That takes conviction.
Full essay on https://t.co/iEoTOwLGGZ: https://t.co/s0tDp6tB4u
What finding pushes back hardest against how your team operates right now?
#B2BMarketing #ABM #GoToMarket #DemandGeneration #MisunderstoodMarketing
@jjen_abel 100% this is discovery work. You're mapping their political landscape and pain priorities before you ever talk features. I've seen SEs kill deals by leading with product instead of asking "what story are they already telling themselves about this problem?”
💯. As an SE I don’t really have direct control of the pipe, but I’m really good at building relationships with partners. (Salesforce native app) . This is more farming but it’s really paid off. At the same time we get pulled into deals to fill a gap and it becomes an unqualified fire drill which almost never wins. Sigh…
Real-time perf dashboard on demos is solid I've always wanted to know which moments actually landed with prospects instead of guessing from their body language. The tagging piece is where it gets interesting though: are you seeing SEs actually use it to tag discoveries, or is it more of a post-demo analytics play?
@BrianLaManna_ Each call should build upon the last. A timeline view of dates and sessions as well builds the story and reminds both sides the time that has been invested. More appropriate for longer deal cycles but could still be relevant with shorter ones as well depending on how it’s framed.
@FidelCacheFlow I've seen teams burn out chasing scripts instead of actually understanding their buyer's problem. Frameworks that let you adapt beat rigid playbooks every time, especially in discovery where you need to listen more than perform.
This is exactly the discovery workflow problem I see everywhere. SEs either skip discovery entirely (and demo flops) or do it twice (once before, once during). The talk track works tactically, but the bigger issue: where do those discovery notes live after the call? Most teams lose them, so the next SE or AE revisits the same questions. Where do the gong notes go?
I've seen SEs crush calls by leading with 'here's what I found' instead of generic discovery questions. The move you're missing though: capture what they confirm or correct you on, because that context disappears fast and you'll need it when you hand off or revisit three weeks later.