
The Revenue Leader’s Guide to Strategic Cost Optimization
Revenue programs at mid-market and enterprise levels often accumulate inefficiencies through...
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Elisabeth is the President of the Revenue Enablement Society, the largest professional organization in the profession. She's worked in the enablement field since before there was a name for it: over 23 years. She's held every revenue enablement title, and works as a consultant for mid market and enterprise corporations.
Posted by Elisabeth Marino | Apr 22, 2025 | CRO Corner |
Revenue programs at mid-market and enterprise levels often accumulate inefficiencies through...
Read MorePosted by Elisabeth Marino | Mar 22, 2025 | AI, Sales, Sales Enablement, Technology |
The shift to AI boosted procurement means that B2B buyers are now armed with more information and autonomy than ever before, with studies showing that up to 70% of the buying process may be completed before any initial sales interaction. That means your sales cycle doesn’t begin at Stage 1 any more, it begins at Stage 4. And everybody better be ready!
Read MorePosted by Elisabeth Marino | Dec 21, 2024 | Sales, Sales Operations, Technology |
Why do we keep making technical sales and demo calls so HARD? They’re not. They’re really not! You...
Read MoreDonald Trump will attend a dinner with the largest holders of his own-brand crypto coin, sending its price through the roof. But the real profits have already been made just out of view.
The acting head of the General Services Administration says it has no DOGE team. It merely lists at least a half-dozen DOGE affiliates on payroll and has a section of its building for DOGE use only.
Google’s AI Overviews feature credible-sounding explanations for completely made-up idioms.
Despite being the biggest electric0vehicle market in the world, China might decide it’s had enough of Tesla. In this episode of Uncanny Valley, we break it all down.
Margaret Mitchell, an AI ethics researcher at Hugging Face, tells WIRED about a new dataset designed to test AI models for bias in multiple languages.