What drives sustainable revenue growth beyond short-term spikes? This post defines revenue growth as the percentage change in total revenue over comparable periods and explains calculation methods alongside RevOps-aligned strategies for long-term improvement.
The content covers the standard formula (Current Period Revenue – Previous Period Revenue) ÷ Previous Period Revenue × 100, plus advanced approaches like organic growth exclusion, segment-level breakdowns, and weighted averages for complex businesses. Improvement tactics emphasize cross-functional alignment between sales and marketing for pipeline efficiency, prioritizing retention/expansion via renewals and upsells, optimizing pricing/packaging, entering new markets, and investing in product innovation. In RevOps, revenue growth management (RGM) treats growth as a coordinated system with pricing, segmentation, forecasting, real-time tech monitoring, and scenario modeling for predictable outcomes.
To gain practical ways to calculate, track, and accelerate sustainable revenue growth in your B2B organization, read the full guide here.
AI companies are scaling ARR at lightning speed $100M in months, 3–10x ARR per employee, but their young GTM motions and fragmented data create hidden bottlenecks that slow RevOps and limit AI leverage.
The post highlights key challenges in hypergrowth RevOps:
Nektar solves this by harvesting email, calendar, and meeting metadata, then automatically cleaning and writing accurate signals into Salesforce: conditional Opportunity Contact Role creation, engagement scoring, backfills for historical context, journey signals (missing exec sponsor, overdue QBRs), and measurable multi-threading for better win-rate analysis and fair comp.
Real-world wins include Writer lifting marketing-qualified opportunities from ~20% to 57%, Cursor cutting OCR noise 5–6x, and Groq/Fireworks mapping buyer personas to adoption metrics.
To accelerate pipeline quality, forecasting accuracy, and GTM velocity in fast-scaling AI environments, read the full post here.
AI investments in RevOps require rigorous justification to secure buy-in and avoid deployment failures. This article provides a structured 5-step framework for building a compelling business case focused on bottlenecks, quantification, evaluation, risk assessment, and adoption planning.
The framework includes:
Common challenges like fragmented data, adoption resistance, and cost monitoring are addressed, with emphasis on clean CRM foundations and human-in-the-loop validation for success.
To craft a data-backed case that demonstrates clear ROI for AI in your RevOps stack, check out the full article here.
By: Attributed - A podcast by Dreamdata
Transitioning from CRO to CEO brings fresh perspectives on scaling revenue-focused companies. In this episode, Nick Turner shares lessons from growing Dreamdata, emphasizing data-driven B2B revenue strategies, team building, and adapting to market shifts.
The discussion explores leadership evolution, aligning RevOps with company vision, leveraging analytics for growth decisions, and navigating challenges in B2B revenue operations for sustainable scaling.
For practical insights on leadership in revenue organizations and future-proofing GTM approaches, listen to the full episode here.
By: onBase - Smashing Sales and Marketing Misalignments by Demandbase
Modern ABM demands precision from selection to execution in complex B2B environments. This episode breaks down end-to-end ABM processes, highlighting data-rich targeting, multi-channel orchestration, and alignment for revenue impact.
Topics include evolving account selection criteria, intent and fit signals, personalized engagement at scale, sales-marketing handoffs, and measuring true ABM ROI beyond vanity metrics.
To refine your ABM strategy for better pipeline quality and forecasting accuracy, tune into the complete discussion here.
By: GTM Science - A show for GTM and RevOps leaders
Building innovative revenue cultures requires data and AI as foundational enablers. This episode features CRO perspectives on fostering experimentation, leveraging insights for decisions, and driving cross-functional change.
The conversation covers using analytics to spot opportunities, AI for hypothesis testing, overcoming resistance to new approaches, and aligning innovation with revenue performance goals.
For stories and tactics on cultivating data/AI-driven innovation in RevOps and GTM teams, check out the full interview here.
By: RevOps Co-op ft. Attention
Conversation data holds untapped GTM intelligence, but manual analysis limits scale. This March 11, 2026 (1:00 pm ET) live demo with Attention shows how to automate insights from calls into proactive signals for churn risk, competitor mentions, and feedback.
It demonstrates building AI agents and workflows for real-time detection, rep coaching, CRM hygiene improvements, and scaling insights across every deal without added headcount.
To see practical automation that turns raw calls into actionable GTM leverage, register for the live demo here.
RevOps evolves from reporting to proactive orchestration in the agentic era. This March 24, 2026 (1:00 pm ET) live demo showcases Aurasell AI's capabilities for tuning ICPs, uncovering growth opportunities, and automating workflows/sequencing across teams.
The session highlights AI-native context-aware data, eliminating busywork, and empowering sales, marketing, and success with unified growth intelligence.
To discover how AI can position RevOps as the central growth engine, join the live demo here.