Remove Pipeline Remove Represent Remove SQL
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The Sales Leadership Framework Behind Multiple $100MM ARR Orgs

Sales Hacker

Shift from Results to Metrics Most organizations focus on results – pushing for more deals, more pipeline, more revenue. Pipeline metrics might include MQL-to-SQL conversion rates, number of activities per rep, or open rates on emails. percentage to goal, win rate, pipeline volume).

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GTM in The Age of AI: The Top 10 Learnings from ICONIQ’s 2025 B2B SaaS Report

SaaStr

SQL-to-Closed Won Rates Drop 5-6 Points YoY While Top-Funnel Stays Flat The Funnel Breakdown : Marketing teams can breathe a sigh of relief—lead generation and early-stage conversion rates have remained relatively stable. Companies need to adjust their pipeline management, forecasting, and cash flow planning accordingly.

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5 different paths to launch AI agents (with examples)

Sales Hacker

Wrap an agent around an existing workflow If your team already has some structure (regular pipeline reviews, onboarding processes, forecast prep, etc.) Build a custom GPT copilot If you’re juggling things like hiring, pipeline recaps, creating investor or board updates and it all lives in your head (or in GSheets, Notion, etc.)

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70 Words That Win: Sales Terms Every Rep Should Know

Salesforce

Drive pipe faster with a single source of truth Discover how Sales Cloud uses data and AI to help you manage your pipeline, build relationships, and close deals fast. Business development representative (BDR) A sales team professional dedicated to outbound lead generation, reaching out to prospects to create sales opportunities.

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6 marketing team silos you need to break down, and how to do it

Martech

Instead of the usual planning meeting, invite a representative from sales leadership, a product manager and a customer success manager to a dedicated “Campaign Kick-off and Alignment Workshop.” Next, form a small working group with representatives from marketing ops, IT, marketing and sales or revenue ops.

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The $4.5B Board Meeting: Inside Snowflake’s AI Transformation and the CEO Who Bets His Company on Their Platform

SaaStr

Data analysts will shift from writing SQL to providing semantic context. When marketing managers can ask natural language questions of customer data without SQL, consumption explodes geometrically. Without an internal champion whose future is tied to yours, you’re just a vendor getting lip service.

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Even great demand gen can’t overcome a lack of brand marketing

Martech

The new demand gen philosophy If you haven’t been close to the conversation, some great points are being made about the flawed strategies that have come to represent the majority of demand generation: The prevalence of lead gen as the main success metric of marketing efforts, feeding near-term dashboards instead of actual revenue outcomes.

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