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    <title>ORM Technologies Blog</title>
    <link>https://orm-tech.com/blog/</link>
    <description>Sales forecasting, pipeline analytics, RevOps, and marketing attribution guides for B2B SaaS revenue teams.</description>
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    <lastBuildDate>Thu, 09 Apr 2026 00:21:58 GMT</lastBuildDate>
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      <title><![CDATA[ORM vs Aviso: AI Revenue Forecasting Compared]]></title>
      <link>https://orm-tech.com/blog/orm-vs-aviso/</link>
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      <description><![CDATA[How ORM's custom prescriptive models compare to Aviso's AI revenue platform. Two approaches to the same forecasting problem.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate>
      <category>Comparisons</category>
    </item>
    <item>
      <title><![CDATA[ORM vs Dreamdata: Attribution and Revenue Analytics Compared]]></title>
      <link>https://orm-tech.com/blog/orm-vs-dreamdata/</link>
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      <description><![CDATA[How ORM's prescriptive revenue models compare to Dreamdata's B2B attribution platform. Different problems, different architectures.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate>
      <category>Comparisons</category>
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    <item>
      <title><![CDATA[ORM vs HubSpot: Revenue Analytics Compared]]></title>
      <link>https://orm-tech.com/blog/orm-vs-hubspot/</link>
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      <description><![CDATA[How ORM's prescriptive revenue models compare to HubSpot's attribution and forecasting capabilities. Platform breadth vs. analytical depth.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate>
      <category>Comparisons</category>
    </item>
    <item>
      <title><![CDATA[ORM vs InsightSquared: Revenue Analytics Compared]]></title>
      <link>https://orm-tech.com/blog/orm-vs-insightsquared/</link>
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      <description><![CDATA[How ORM's custom prescriptive models compare to InsightSquared (now Mediafly Intelligence360). What changed after the acquisition.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate>
      <category>Comparisons</category>
    </item>
    <item>
      <title><![CDATA[Sales Cycle Length: Benchmarks, Analysis, and How to Shorten Your Close Time]]></title>
      <link>https://orm-tech.com/blog/sales-cycle-length-guide/</link>
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      <description><![CDATA[B2B SaaS sales cycle benchmarks by deal size, why cycles have lengthened 22% since 2022, and the five tactics that compress close times without sacrificing deal quality.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Sat, 21 Mar 2026 00:00:00 GMT</pubDate>
      <category>Pipeline Analytics</category>
    </item>
    <item>
      <title><![CDATA[Marketing ROI: How to Measure, Calculate, and Prove Marketing's Impact on Revenue]]></title>
      <link>https://orm-tech.com/blog/marketing-roi-guide/</link>
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      <description><![CDATA[Marketing ROI formulas, benchmarks, and the measurement framework that connects marketing spend to pipeline and revenue in B2B SaaS.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 20 Mar 2026 00:00:00 GMT</pubDate>
      <category>Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[ORM vs 6sense: Predictive Revenue Analytics Compared]]></title>
      <link>https://orm-tech.com/blog/orm-vs-6sense/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/orm-vs-6sense/</guid>
      <description><![CDATA[How ORM's prescriptive revenue models compare to 6sense's intent data and ABM platform.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 20 Mar 2026 00:00:00 GMT</pubDate>
      <category>Comparisons</category>
    </item>
    <item>
      <title><![CDATA[ORM vs Bizible (Marketo Measure): Marketing Attribution Compared]]></title>
      <link>https://orm-tech.com/blog/orm-vs-bizible/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/orm-vs-bizible/</guid>
      <description><![CDATA[How ORM's prescriptive marketing analytics compare to Adobe's Marketo Measure (formerly Bizible) for B2B attribution.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 20 Mar 2026 00:00:00 GMT</pubDate>
      <category>Comparisons</category>
    </item>
    <item>
      <title><![CDATA[ORM vs Clari: Revenue Forecasting Compared]]></title>
      <link>https://orm-tech.com/blog/orm-vs-clari/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/orm-vs-clari/</guid>
      <description><![CDATA[How ORM's custom prescriptive models compare to Clari's revenue intelligence platform. Different approaches to the same problem.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 20 Mar 2026 00:00:00 GMT</pubDate>
      <category>Comparisons</category>
    </item>
    <item>
      <title><![CDATA[ORM vs Gong: Revenue Intelligence Compared]]></title>
      <link>https://orm-tech.com/blog/orm-vs-gong/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/orm-vs-gong/</guid>
      <description><![CDATA[How ORM's prescriptive forecasting compares to Gong's conversation intelligence approach to revenue prediction.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 20 Mar 2026 00:00:00 GMT</pubDate>
      <category>Comparisons</category>
    </item>
    <item>
      <title><![CDATA[Revenue Operations KPIs: The 12 Metrics Every RevOps Team Should Track]]></title>
      <link>https://orm-tech.com/blog/revops-kpis/</link>
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      <description><![CDATA[The 12 KPIs that define RevOps success, organized by function: pipeline health, forecast reliability, process efficiency, and revenue predictability.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 20 Mar 2026 00:00:00 GMT</pubDate>
      <category>Revenue Operations</category>
    </item>
    <item>
      <title><![CDATA[Pipeline Coverage Ratio: The Number That Predicts Your Quarter]]></title>
      <link>https://orm-tech.com/blog/pipeline-coverage-ratio/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/pipeline-coverage-ratio/</guid>
      <description><![CDATA[How to calculate pipeline coverage ratio, what good looks like (hint: 3x is the floor), and why raw coverage without quality weighting is a trap.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Thu, 19 Mar 2026 00:00:00 GMT</pubDate>
      <category>Pipeline Analytics</category>
    </item>
    <item>
      <title><![CDATA[Win Rate: How to Calculate, Benchmark, and Improve Your Close Rate]]></title>
      <link>https://orm-tech.com/blog/win-rate-guide/</link>
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      <description><![CDATA[Win rate formulas, B2B SaaS benchmarks by deal size and segment, and the five levers that move close rates from 19% to 30%+.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Thu, 19 Mar 2026 00:00:00 GMT</pubDate>
      <category>Pipeline Analytics</category>
    </item>
    <item>
      <title><![CDATA[Forecast Accuracy: How to Measure It, Why It Matters, and How to Improve It]]></title>
      <link>https://orm-tech.com/blog/forecast-accuracy-guide/</link>
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      <description><![CDATA[Forecast accuracy formulas, benchmarks, and the five changes that move B2B SaaS teams from 60% to 90%+ accuracy.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 18 Mar 2026 00:00:00 GMT</pubDate>
      <category>Sales Forecasting</category>
    </item>
    <item>
      <title><![CDATA[6 Sales Forecasting Methods That Actually Work (And When to Use Each)]]></title>
      <link>https://orm-tech.com/blog/sales-forecasting-methods/</link>
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      <description><![CDATA[Six proven sales forecasting methods compared side by side. When to use each method, accuracy benchmarks, and why most B2B SaaS teams should combine at least two.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Tue, 17 Mar 2026 00:00:00 GMT</pubDate>
      <category>Sales Forecasting</category>
    </item>
    <item>
      <title><![CDATA[Revenue Operations Team Structure: How to Organize RevOps at Every Stage]]></title>
      <link>https://orm-tech.com/blog/revenue-operations-team-structure/</link>
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      <description><![CDATA[A practical guide to building your RevOps team from first hire to full function. Stage-by-stage org charts, role definitions, headcount benchmarks, and the mistakes that cost companies quarters of misalignment.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Sun, 15 Mar 2026 00:00:00 GMT</pubDate>
      <category>Revenue Operations</category>
    </item>
    <item>
      <title><![CDATA[Sales Pipeline KPIs: The 7 Numbers Every Revenue Leader Tracks Weekly]]></title>
      <link>https://orm-tech.com/blog/sales-pipeline-kpis/</link>
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      <description><![CDATA[The seven sales pipeline KPIs that separate forecast-accurate teams from everyone else. Benchmarks, formulas, and the weekly tracking cadence that drives 87% forecast accuracy.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Sun, 15 Mar 2026 00:00:00 GMT</pubDate>
      <category>Pipeline Metrics, KPIs & Analytics</category>
    </item>
    <item>
      <title><![CDATA[Marketing Attribution for B2B SaaS: Models, Methods, and What Actually Works]]></title>
      <link>https://orm-tech.com/blog/marketing-attribution-guide/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/marketing-attribution-guide/</guid>
      <description><![CDATA[A practitioner's guide to marketing attribution for B2B SaaS. Multi-touch models, incrementality testing, marketing mix modeling, and why most attribution is wrong.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Sat, 14 Mar 2026 00:00:00 GMT</pubDate>
      <category>Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[Revenue Operations: The Complete Guide for B2B SaaS Companies]]></title>
      <link>https://orm-tech.com/blog/revenue-operations-guide/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/revenue-operations-guide/</guid>
      <description><![CDATA[Everything B2B SaaS companies need to know about revenue operations. What RevOps is, how to build it, team structure, KPIs, tech stack, and the ROI case for your leadership team.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Thu, 12 Mar 2026 00:00:00 GMT</pubDate>
      <category>Revenue Operations</category>
    </item>
    <item>
      <title><![CDATA[Sales Pipeline Metrics: The Complete Guide to Measuring Pipeline Health]]></title>
      <link>https://orm-tech.com/blog/sales-pipeline-metrics-guide/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/sales-pipeline-metrics-guide/</guid>
      <description><![CDATA[Every sales pipeline metric that matters for B2B SaaS, with formulas, benchmarks, and the tracking cadence that achieves 87% forecast accuracy.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Tue, 10 Mar 2026 00:00:00 GMT</pubDate>
      <category>Pipeline Analytics</category>
    </item>
    <item>
      <title><![CDATA[Sales Forecasting Models Explained: Choosing the Right One for Your Revenue Team]]></title>
      <link>https://orm-tech.com/blog/sales-forecasting-models-explained/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/sales-forecasting-models-explained/</guid>
      <description><![CDATA[A practical comparison of six sales forecasting models for B2B SaaS. Which model fits your stage, your data maturity, and your accuracy requirements.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 06 Mar 2026 00:00:00 GMT</pubDate>
      <category>Sales Forecasting</category>
    </item>
    <item>
      <title><![CDATA[Adjusting Campaigns Based on Performance: A Playbook for B2B Revenue Teams]]></title>
      <link>https://orm-tech.com/blog/adjusting-campaigns/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/adjusting-campaigns/</guid>
      <description><![CDATA[How B2B revenue teams should reallocate marketing spend mid-cycle using pipeline signals instead of waiting for end-of-quarter results. Includes the reactive vs. proactive framework.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Thu, 05 Mar 2026 00:00:00 GMT</pubDate>
      <category>B2B Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[Sales Forecasting: Complete Guide to Methods, Models, and Best Practices]]></title>
      <link>https://orm-tech.com/blog/sales-forecasting-complete-guide/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/sales-forecasting-complete-guide/</guid>
      <description><![CDATA[The definitive guide to sales forecasting for B2B SaaS. Methods, models, accuracy benchmarks, and the prescriptive analytics approach that achieves 90%+ forecast accuracy.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Thu, 05 Mar 2026 00:00:00 GMT</pubDate>
      <category>Sales Forecasting</category>
    </item>
    <item>
      <title><![CDATA[Pipeline Does Not Equal Revenue: Why Volume Alone Misleads GTM Teams]]></title>
      <link>https://orm-tech.com/blog/pipeline-does-not-equal-revenue/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/pipeline-does-not-equal-revenue/</guid>
      <description><![CDATA[Pipeline volume and revenue are driven by different sources and behaviors. Learn why pipeline yield matters more than pipeline creation.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 18 Feb 2026 00:00:00 GMT</pubDate>
      <category>Pipeline Metrics</category>
    </item>
    <item>
      <title><![CDATA[ORM Technologies Introduces Refined Brand Identity]]></title>
      <link>https://orm-tech.com/blog/orm-predictive-revenue-brand-identity/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/orm-predictive-revenue-brand-identity/</guid>
      <description><![CDATA[ORM Technologies unveils a refined brand identity with a radar-inspired mark reinforcing predictive clarity and decisive revenue leadership.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Thu, 05 Feb 2026 00:00:00 GMT</pubDate>
      <category>Company News</category>
    </item>
    <item>
      <title><![CDATA[The Future of RevOps: Strategic Planning and Trends for 2026]]></title>
      <link>https://orm-tech.com/blog/revops-strategic-planning-trends-for-2026/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/revops-strategic-planning-trends-for-2026/</guid>
      <description><![CDATA[Four forces are reshaping RevOps by 2026: AI co-pilots, continuous planning, customer-centric metrics, and RevOps as the strategic conscience.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Mon, 22 Sep 2025 00:00:00 GMT</pubDate>
      <category>RevOps Strategy</category>
    </item>
    <item>
      <title><![CDATA[When the Sales Forecast Fails: A RevOps Rescue Story]]></title>
      <link>https://orm-tech.com/blog/revops-rescue-story/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/revops-rescue-story/</guid>
      <description><![CDATA[A mid-market SaaS company's forecast collapsed two weeks before quarter-end. Here is how their RevOps team turned crisis into a data-driven system.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Thu, 31 Jul 2025 00:00:00 GMT</pubDate>
      <category>RevOps Fundamentals</category>
    </item>
    <item>
      <title><![CDATA[Contextual AI: The Next Frontier in Sales and Marketing Performance]]></title>
      <link>https://orm-tech.com/blog/contextual-ai-next-frontier-in-sales-and-marketing/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/contextual-ai-next-frontier-in-sales-and-marketing/</guid>
      <description><![CDATA[Contextual AI delivers insights tailored to each user's role, timing, and GTM structure. Learn how it transforms revenue team decision-making.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Tue, 15 Apr 2025 00:00:00 GMT</pubDate>
      <category>Sales Forecasting</category>
    </item>
    <item>
      <title><![CDATA[The Future of Predictive Revenue Analytics: 7 Trends Reshaping B2B GTM]]></title>
      <link>https://orm-tech.com/blog/2025-predictive-revenue-analytics-trends/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/2025-predictive-revenue-analytics-trends/</guid>
      <description><![CDATA[From conversational analytics to self-correcting forecasts, these seven trends are transforming how B2B revenue teams predict and optimize performance.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Mon, 31 Mar 2025 00:00:00 GMT</pubDate>
      <category>Sales Forecasting</category>
    </item>
    <item>
      <title><![CDATA[What Is Cognitive AI and How Can It Predict Revenue?]]></title>
      <link>https://orm-tech.com/blog/what-is-cognitive-ai-and-how-can-it-predict-revenue/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/what-is-cognitive-ai-and-how-can-it-predict-revenue/</guid>
      <description><![CDATA[Cognitive AI goes beyond traditional analytics by predicting outcomes and prescribing actions. Learn how it transforms revenue forecasting for B2B teams.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Tue, 25 Mar 2025 00:00:00 GMT</pubDate>
      <category>Sales Forecasting</category>
    </item>
    <item>
      <title><![CDATA[ORM Technologies Successfully Completes SOC 2 Type 2 Audit]]></title>
      <link>https://orm-tech.com/blog/orm-technologies-successfully-completes-soc-2-type-2-audit-examination/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/orm-technologies-successfully-completes-soc-2-type-2-audit-examination/</guid>
      <description><![CDATA[ORM Technologies announces successful completion of its SOC 2 Type 2 attestation for Security and Confidentiality with zero exceptions.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 15 Nov 2023 00:00:00 GMT</pubDate>
      <category>Company News</category>
    </item>
    <item>
      <title><![CDATA[Capitalizing on Marketing Analytics in B2B: A Practical Roadmap]]></title>
      <link>https://orm-tech.com/blog/capitalizing-on-marketing-analytics-in-b2b-marketing/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/capitalizing-on-marketing-analytics-in-b2b-marketing/</guid>
      <description><![CDATA[How B2B companies build a marketing analytics foundation using data integrity, technology, and skilled teams to drive measurable ROI from campaigns.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Thu, 05 Oct 2023 00:00:00 GMT</pubDate>
      <category>B2B Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[ORM Technologies Appoints Executive Advisory Board]]></title>
      <link>https://orm-tech.com/blog/orm-appoints-advisory-board/</link>
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      <description><![CDATA[ORM Technologies announces five executive appointments to its newly formed Advisory Board to accelerate product innovation and revenue growth.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Tue, 26 Apr 2022 00:00:00 GMT</pubDate>
      <category>Company News</category>
    </item>
    <item>
      <title><![CDATA[ORM Technologies Launches New Website]]></title>
      <link>https://orm-tech.com/blog/new-website-pr/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/new-website-pr/</guid>
      <description><![CDATA[ORM Technologies announces the launch of its redesigned website featuring a simplified message and refreshed brand identity.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Thu, 07 Apr 2022 00:00:00 GMT</pubDate>
      <category>Company News</category>
    </item>
    <item>
      <title><![CDATA[Sales Forecasting and Predictive Analytics: 5 Attributes That Predict Which Deals Will Win]]></title>
      <link>https://orm-tech.com/blog/sales-forecasting-predictive-analytics/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/sales-forecasting-predictive-analytics/</guid>
      <description><![CDATA[Discover the five CRM attributes that predictive analytics models use to forecast which sales deals will win or lose. A practical guide to removing bias from your forecast.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Thu, 12 Aug 2021 00:00:00 GMT</pubDate>
      <category>Sales Forecasting</category>
    </item>
    <item>
      <title><![CDATA[What Makes a Marketing Campaign Effective? Data from B2B Software Companies]]></title>
      <link>https://orm-tech.com/blog/effective-marketing-campaigns/</link>
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      <description><![CDATA[Data analysis of B2B software marketing campaigns reveals that campaigns with 50+ engaged activities have near-certain probability of generating won deals.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Tue, 21 Apr 2020 00:00:00 GMT</pubDate>
      <category>B2B Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[Five Common UTM Parameter Mistakes (And How to Fix Them)]]></title>
      <link>https://orm-tech.com/blog/five-common-utm-parameter-mistakes/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/five-common-utm-parameter-mistakes/</guid>
      <description><![CDATA[Avoid the five most common UTM tracking mistakes that corrupt your marketing data. From internal link tagging to inconsistent naming conventions.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 13 Dec 2017 00:00:00 GMT</pubDate>
      <category>Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[Best Practices for UTM Parameters: A Complete Guide for B2B Marketers]]></title>
      <link>https://orm-tech.com/blog/best-practices-utm-parameters/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/best-practices-utm-parameters/</guid>
      <description><![CDATA[How to set up and use UTM parameters to track marketing campaign performance. Covers all five parameters with examples and implementation tips.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 06 Dec 2017 00:00:00 GMT</pubDate>
      <category>Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[6 Metrics to Review in Your Quarterly Business Review (QBR)]]></title>
      <link>https://orm-tech.com/blog/6-metrics-quarterly-business-review/</link>
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      <description><![CDATA[The six sales metrics every QBR should cover: employee efficiency, win rate, sales cycle length, order amount, opportunity count, and trend tracking. With practical examples.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 15 Nov 2017 00:00:00 GMT</pubDate>
      <category>Sales Analytics</category>
    </item>
    <item>
      <title><![CDATA[Seven Signs Your Business Needs Sales and Marketing Optimization]]></title>
      <link>https://orm-tech.com/blog/seven-signs-need-optimization/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/seven-signs-need-optimization/</guid>
      <description><![CDATA[Recognize the warning signs that your sales and marketing teams need optimization, from rising acquisition costs to declining efficiency and growth plateaus.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Mon, 06 Nov 2017 00:00:00 GMT</pubDate>
      <category>RevOps Strategy</category>
    </item>
    <item>
      <title><![CDATA[The Ultimate Cheat Sheet for Marketing Analytics: Trends, Attribution, and Forecasting]]></title>
      <link>https://orm-tech.com/blog/ultimate-cheat-sheet-marketing-analytics/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/ultimate-cheat-sheet-marketing-analytics/</guid>
      <description><![CDATA[A complete reference guide to marketing analytics covering trend analysis, revenue attribution models, and marketing forecasting for B2B teams.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 01 Nov 2017 00:00:00 GMT</pubDate>
      <category>B2B Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[10 Sales Analytics Tips That Actually Move Revenue]]></title>
      <link>https://orm-tech.com/blog/10-quick-tips-sales-analytics/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/10-quick-tips-sales-analytics/</guid>
      <description><![CDATA[Ten practical tips for applying sales analytics to goal-setting, trend analysis, customer potential, retention, and team structure. Actionable advice for sales leaders.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 27 Oct 2017 00:00:00 GMT</pubDate>
      <category>Sales Analytics</category>
    </item>
    <item>
      <title><![CDATA[The Data-Driven Marketer: How to Use Engagement, Audience, and ROI Data Effectively]]></title>
      <link>https://orm-tech.com/blog/data-driven-marketer/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/data-driven-marketer/</guid>
      <description><![CDATA[Three pillars every data-driven B2B marketer must master: measuring engagement quality, segmenting audiences precisely, and calculating program ROI.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 25 Oct 2017 00:00:00 GMT</pubDate>
      <category>B2B Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[Sales Budgets Simplified: How Turnover and Ramp Time Destroy Your Numbers]]></title>
      <link>https://orm-tech.com/blog/sales-budgets-simplfied/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/sales-budgets-simplfied/</guid>
      <description><![CDATA[How sales turnover and ramp time blow up annual budgets, why multi-year planning removes the surprise, and practical advice for building budgets that account for reality.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 20 Oct 2017 00:00:00 GMT</pubDate>
      <category>Sales Strategy</category>
    </item>
    <item>
      <title><![CDATA[How to Build the Perfect Marketing Budget Using Historical Data and ROI]]></title>
      <link>https://orm-tech.com/blog/perfect-marketing-budget/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/perfect-marketing-budget/</guid>
      <description><![CDATA[Stop guessing your marketing budget. Learn how to use historical program data, ROI analysis, and optimization to build a budget that maximizes pipeline and revenue.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 18 Oct 2017 00:00:00 GMT</pubDate>
      <category>B2B Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[Annual Sales Planning Is Dead on Arrival: Why Multi-Year Planning Wins]]></title>
      <link>https://orm-tech.com/blog/annual-planning-doa/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/annual-planning-doa/</guid>
      <description><![CDATA[Why annual sales and marketing planning fails, how turnover and ramp time undermine single-year budgets, and how multi-year strategic planning solves the problem.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 13 Oct 2017 00:00:00 GMT</pubDate>
      <category>Sales Strategy</category>
    </item>
    <item>
      <title><![CDATA[6 Critical Marketing Metrics Every CFO Should Track]]></title>
      <link>https://orm-tech.com/blog/6-critical-marketing-metrics-for-cfo/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/6-critical-marketing-metrics-for-cfo/</guid>
      <description><![CDATA[The six marketing metrics CFOs need to connect marketing investment to revenue, from customer acquisition cost to marketing-influenced customer percentage.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 29 Sep 2017 00:00:00 GMT</pubDate>
      <category>B2B Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[Marketing Program Multipliers: Using Association Analysis to Find Winning Combinations]]></title>
      <link>https://orm-tech.com/blog/marketing-programs-multipliers-advanced-analytics/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/marketing-programs-multipliers-advanced-analytics/</guid>
      <description><![CDATA[How to use association analysis to discover which marketing programs complement each other, which are substitutes, and which combinations drive the most wins.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 15 Sep 2017 00:00:00 GMT</pubDate>
      <category>B2B Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[22 Must-Have Sales Operations Metrics for Every Sales Ops Team]]></title>
      <link>https://orm-tech.com/blog/22-sales-operations-metrics/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/22-sales-operations-metrics/</guid>
      <description><![CDATA[A comprehensive list of 22 sales operations metrics across four categories: pipeline, process, resource, and financial. Practical guidance on measurement, filtering, and automation.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 08 Sep 2017 00:00:00 GMT</pubDate>
      <category>Sales Analytics</category>
    </item>
    <item>
      <title><![CDATA[Everything You Need to Know About the Inbound SDR Role]]></title>
      <link>https://orm-tech.com/blog/everything-need-know-inbound-sdr/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/everything-need-know-inbound-sdr/</guid>
      <description><![CDATA[Inbound SDRs convert marketing leads into sales opportunities. Learn role design, capacity planning, qualification frameworks, and performance metrics.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 01 Sep 2017 00:00:00 GMT</pubDate>
      <category>Pipeline Metrics</category>
    </item>
    <item>
      <title><![CDATA[Anti-Malware Scanners Are Inflating Your MQLs: How to Detect and Fix Phantom Clicks]]></title>
      <link>https://orm-tech.com/blog/anti-malware-scanners-causing-mql-spikes/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/anti-malware-scanners-causing-mql-spikes/</guid>
      <description><![CDATA[Email threat scanners are silently inflating your MQL counts by auto-clicking links. Learn how to identify phantom clicks and fix your lead scoring.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 25 Aug 2017 00:00:00 GMT</pubDate>
      <category>B2B Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[Sales and Marketing Data Analytics: A Framework for Becoming Best-in-Class]]></title>
      <link>https://orm-tech.com/blog/sales-marketing-data-analytics/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/sales-marketing-data-analytics/</guid>
      <description><![CDATA[Best-in-class companies using data analytics achieve 20% customer growth and 15% profit increases. Here is the framework to get there.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 18 Aug 2017 00:00:00 GMT</pubDate>
      <category>B2B Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[Optimized Marketing ROI: How to Maximize Revenue from Your Marketing Spend]]></title>
      <link>https://orm-tech.com/blog/optimized-marketing-roi/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/optimized-marketing-roi/</guid>
      <description><![CDATA[A deep dive into the Optimized ROI framework for measuring and maximizing marketing returns. Covers attribution, flexibility, and optimization.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 11 Aug 2017 00:00:00 GMT</pubDate>
      <category>Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[Martech ROI: How to Know If Your Marketing Technology Is Worth It]]></title>
      <link>https://orm-tech.com/blog/martech-roi/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/martech-roi/</guid>
      <description><![CDATA[A practical framework for evaluating the ROI of your marketing technology stack. Covers direct revenue impact, time savings, and when to cut tools.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 04 Aug 2017 00:00:00 GMT</pubDate>
      <category>Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[Your Martech Stack Is Built Like a House: A Four-Category Framework]]></title>
      <link>https://orm-tech.com/blog/your-martech-stack-is-built-like-a-house/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/your-martech-stack-is-built-like-a-house/</guid>
      <description><![CDATA[Think of your marketing technology stack as a house with four essential categories: discovery, content, relationship management, and ROI analysis.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 28 Jul 2017 00:00:00 GMT</pubDate>
      <category>B2B Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[How to Measure Sales Forecast Accuracy (And Get It Above 90%)]]></title>
      <link>https://orm-tech.com/blog/accurate-sales-forecast/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/accurate-sales-forecast/</guid>
      <description><![CDATA[Learn how to measure your sales forecast accuracy with the Day 1 formula, inter-quarter vs. intra-quarter forecasting, and a framework for recording predictions over time.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 21 Jul 2017 00:00:00 GMT</pubDate>
      <category>Sales Forecasting</category>
    </item>
    <item>
      <title><![CDATA[Revenue Attribution: How to Connect Marketing Programs to Won Deals]]></title>
      <link>https://orm-tech.com/blog/revenue-attribution/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/revenue-attribution/</guid>
      <description><![CDATA[A complete guide to revenue attribution models for B2B marketers, from first-touch to score-weighted, with guidance on choosing the right model for your business.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 14 Jul 2017 00:00:00 GMT</pubDate>
      <category>Marketing Attribution Models</category>
    </item>
    <item>
      <title><![CDATA[How to Improve Your Sales Forecast with Ensemble Forecasting]]></title>
      <link>https://orm-tech.com/blog/improve-sales-forecast/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/improve-sales-forecast/</guid>
      <description><![CDATA[Five forecasting techniques and how to combine them into an ensemble forecast that improves accuracy and reduces risk. A practical guide for sales leaders.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 30 Jun 2017 00:00:00 GMT</pubDate>
      <category>Sales Forecasting</category>
    </item>
    <item>
      <title><![CDATA[How to Measure Marketing Conversion Rates: A Rolling Average Framework]]></title>
      <link>https://orm-tech.com/blog/how-to-best-measure-marketing-conversion-rates/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/how-to-best-measure-marketing-conversion-rates/</guid>
      <description><![CDATA[Learn the right framework for measuring marketing conversion rates using rolling averages to account for funnel velocity and seasonal variation.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Mon, 26 Jun 2017 00:00:00 GMT</pubDate>
      <category>B2B Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[What Are Optimized Analytics? Descriptive, Predictive, and Prescriptive Unified]]></title>
      <link>https://orm-tech.com/blog/what-are-optimized-analytics/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/what-are-optimized-analytics/</guid>
      <description><![CDATA[Optimized Analytics combines descriptive, predictive, and prescriptive techniques into one actionable framework for better business decisions.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Mon, 19 Jun 2017 00:00:00 GMT</pubDate>
      <category>RevOps Fundamentals</category>
    </item>
    <item>
      <title><![CDATA[Why You Missed Your Sales Forecast: Price and Volume Variance Analysis]]></title>
      <link>https://orm-tech.com/blog/why-you-missed-your-sales-forecast/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/why-you-missed-your-sales-forecast/</guid>
      <description><![CDATA[Use price and volume variance analysis to understand exactly why your sales forecast missed. Includes formulas, a worked example, and practical fixes for each type of miss.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 09 Jun 2017 00:00:00 GMT</pubDate>
      <category>Sales Forecasting</category>
    </item>
    <item>
      <title><![CDATA[12 Critical Sales Metrics Every CFO Should Track]]></title>
      <link>https://orm-tech.com/blog/12-critical-sales-metrics-for-cfos/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/12-critical-sales-metrics-for-cfos/</guid>
      <description><![CDATA[The 12 sales metrics that give CFOs visibility into revenue health, broken into four categories: historic sales, pipeline forecast, sales capacity, and customer retention.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 02 Jun 2017 00:00:00 GMT</pubDate>
      <category>Sales Analytics</category>
    </item>
    <item>
      <title><![CDATA[Does Predictive Lead Scoring Work? When to Use It (And When Not To)]]></title>
      <link>https://orm-tech.com/blog/does-predictive-lead-scoring-work/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/does-predictive-lead-scoring-work/</guid>
      <description><![CDATA[Predictive vs. traditional lead scoring compared. Learn how machine learning scores leads, when it outperforms rules-based methods, and data requirements.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Thu, 25 May 2017 00:00:00 GMT</pubDate>
      <category>Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[B2B Email Performance Benchmarks: Opens, Clicks, Bounces, and Unsubscribes]]></title>
      <link>https://orm-tech.com/blog/email-performance-benchmarks/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/email-performance-benchmarks/</guid>
      <description><![CDATA[Industry benchmarks for B2B email marketing performance including open rates, click rates, bounces, and unsubscribes for prospects and customers.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 12 May 2017 00:00:00 GMT</pubDate>
      <category>B2B Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[Zombie Sales Opportunities: Your Survival Guide to Pipeline Hygiene]]></title>
      <link>https://orm-tech.com/blog/zombie-sales-opps-your-survival-guide/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/zombie-sales-opps-your-survival-guide/</guid>
      <description><![CDATA[4-10% of your open pipeline is zombie deals that distort win rates, inflate forecasts, and waste rep time. Here is how to identify and eliminate them.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 05 May 2017 00:00:00 GMT</pubDate>
      <category>Pipeline Metrics</category>
    </item>
    <item>
      <title><![CDATA[Social Lead Scoring: How to Get a Quick Win from Social Media Data]]></title>
      <link>https://orm-tech.com/blog/social-lead-scoring-get-a-quick-win/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/social-lead-scoring-get-a-quick-win/</guid>
      <description><![CDATA[Add social media behavior to your lead scoring model for fast results. Score social signals using the Critical, Important, Influencing framework.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 28 Apr 2017 00:00:00 GMT</pubDate>
      <category>Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[6 Metrics to Rank Your Sales Team (Clear, Measurable, and Fair)]]></title>
      <link>https://orm-tech.com/blog/6-metrics-to-rank-your-sales-team/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/6-metrics-to-rank-your-sales-team/</guid>
      <description><![CDATA[Six ranking metrics for sales teams with suggested weights, plus guidance on sharing rankings, managing performance, and avoiding common pitfalls.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 21 Apr 2017 00:00:00 GMT</pubDate>
      <category>Sales Analytics</category>
    </item>
    <item>
      <title><![CDATA[Account-Based Lead Scoring: A Practical Guide for B2B Marketers]]></title>
      <link>https://orm-tech.com/blog/quick-and-easy-guide-to-account-based-lead-scoring/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/quick-and-easy-guide-to-account-based-lead-scoring/</guid>
      <description><![CDATA[How to add account-based scoring to your lead scoring model. Score collective buying signals across contacts at the same company for better MQL quality.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 14 Apr 2017 00:00:00 GMT</pubDate>
      <category>Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[Behavior Scoring: A Practical Guide to Scoring Lead Engagement]]></title>
      <link>https://orm-tech.com/blog/quick-and-easy-guide-to-behavior-scoring/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/quick-and-easy-guide-to-behavior-scoring/</guid>
      <description><![CDATA[How to build a behavior scoring model that identifies sales-ready leads. Covers Critical, Important, Influencing, and Bad Fit scoring categories.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 07 Apr 2017 00:00:00 GMT</pubDate>
      <category>Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[Demographic Scoring: How to Score Leads Based on Buyer Persona Fit]]></title>
      <link>https://orm-tech.com/blog/quick-and-easy-guide-to-demographic-scoring/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/quick-and-easy-guide-to-demographic-scoring/</guid>
      <description><![CDATA[Build a demographic scoring model that prioritizes leads matching your ideal buyer. Covers Critical, Important, Influencing, and Bad Fit categories.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 31 Mar 2017 00:00:00 GMT</pubDate>
      <category>Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[A Quick and Easy Guide to Managing Your Marketing Leads]]></title>
      <link>https://orm-tech.com/blog/quick-and-easy-guide-to-managing-your-leads/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/quick-and-easy-guide-to-managing-your-leads/</guid>
      <description><![CDATA[How to build a lead management process with demographic, behavior, and account-based scoring. Covers Suspect, Prospect, and MQL lifecycle stages.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 24 Mar 2017 00:00:00 GMT</pubDate>
      <category>Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[Marketing ROI: Why It Is Still a Top Priority (And How to Finally Solve It)]]></title>
      <link>https://orm-tech.com/blog/marketing-roi-top-priority/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/marketing-roi-top-priority/</guid>
      <description><![CDATA[Marketing ROI has been a top-5 priority for CMOs since 2014. Here is the step-by-step framework for calculating it using CRM and MAP data.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Thu, 16 Mar 2017 00:00:00 GMT</pubDate>
      <category>Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[How to Clean Up Your Marketing Data in 5 Steps]]></title>
      <link>https://orm-tech.com/blog/how-to-clean-up-your-marketing-data-in-5-easy-steps/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/how-to-clean-up-your-marketing-data-in-5-easy-steps/</guid>
      <description><![CDATA[A practical guide to cleaning your marketing database: merge duplicates, remove inactive leads, organize folders, standardize fields, and cut unused data.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 10 Mar 2017 00:00:00 GMT</pubDate>
      <category>RevOps Fundamentals</category>
    </item>
    <item>
      <title><![CDATA[16 Metrics to Track the Health of Your Sales Pipeline]]></title>
      <link>https://orm-tech.com/blog/16-metrics-to-track-the-health-of-your-sales-pipeline/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/16-metrics-to-track-the-health-of-your-sales-pipeline/</guid>
      <description><![CDATA[A sales pipeline health check with 16 metrics across data quality and stage transitions. Learn why most pipelines are shaped like a vase, not a funnel, and what to do about it.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Fri, 03 Mar 2017 00:00:00 GMT</pubDate>
      <category>Sales Analytics</category>
    </item>
    <item>
      <title><![CDATA[GPS Navigation and Sales Optimization: The Same Math, Different Destinations]]></title>
      <link>https://orm-tech.com/blog/optimal-gps-directions-vs-sales-optimization/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/optimal-gps-directions-vs-sales-optimization/</guid>
      <description><![CDATA[The operations research behind your GPS directions is the same math that can optimize your sales resource planning. Here is why you should use it.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 22 Feb 2017 00:00:00 GMT</pubDate>
      <category>RevOps Strategy</category>
    </item>
    <item>
      <title><![CDATA[How to Use Machine Learning to Value Your Sales Funnel]]></title>
      <link>https://orm-tech.com/blog/how-to-use-machine-learning-to-value-your-sales-funnel/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/how-to-use-machine-learning-to-value-your-sales-funnel/</guid>
      <description><![CDATA[Machine learning predicts deal outcomes with 85% accuracy vs. the industry average of 50%. Learn how to apply ML to your sales pipeline.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 15 Feb 2017 00:00:00 GMT</pubDate>
      <category>Sales Forecasting</category>
    </item>
    <item>
      <title><![CDATA[5 Practical Tips to Align Sales and Marketing Around Revenue Growth]]></title>
      <link>https://orm-tech.com/blog/5-tips-to-align-sales-and-marketing/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/5-tips-to-align-sales-and-marketing/</guid>
      <description><![CDATA[Sales and marketing misalignment kills revenue. Here are five proven strategies to bridge the gap and drive sustainable growth.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 08 Feb 2017 00:00:00 GMT</pubDate>
      <category>RevOps Fundamentals</category>
    </item>
    <item>
      <title><![CDATA[Score-Based Marketing Attribution: A Smarter Approach to Measuring Program ROI]]></title>
      <link>https://orm-tech.com/blog/score-based-approach-to-marketing-attribution/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/score-based-approach-to-marketing-attribution/</guid>
      <description><![CDATA[How score-based attribution uses your existing lead scoring model to proportionally credit revenue to each marketing program based on measured influence.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 01 Feb 2017 00:00:00 GMT</pubDate>
      <category>Marketing Attribution Models</category>
    </item>
    <item>
      <title><![CDATA[Marketing Mix Optimization: How to Allocate Your Budget for Maximum Revenue]]></title>
      <link>https://orm-tech.com/blog/optimization-marketing-mix/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/optimization-marketing-mix/</guid>
      <description><![CDATA[A practical guide to optimizing your marketing program mix using historical data, revenue attribution, and what-if analysis to maximize ROI.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 25 Jan 2017 00:00:00 GMT</pubDate>
      <category>B2B Marketing Analytics</category>
    </item>
    <item>
      <title><![CDATA[Optimal Sales Resource Plan: How to Allocate Headcount for Maximum Revenue at Minimum Cost]]></title>
      <link>https://orm-tech.com/blog/optimization-sales-resource-plan/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/optimization-sales-resource-plan/</guid>
      <description><![CDATA[Learn how to build an optimized sales resource plan that hits revenue targets at minimum cost by accounting for ramp rates, attrition, and territory capacity.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 18 Jan 2017 00:00:00 GMT</pubDate>
      <category>RevOps Strategy</category>
    </item>
    <item>
      <title><![CDATA[Optimization: The Secret to Increasing Revenue Without Increasing Investment]]></title>
      <link>https://orm-tech.com/blog/optimization-the-secret-to-increasing-revenue/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/optimization-the-secret-to-increasing-revenue/</guid>
      <description><![CDATA[Learn how sales and marketing optimization can increase revenue by 15% or more without additional spend. A practical guide to optimization for B2B teams.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 11 Jan 2017 00:00:00 GMT</pubDate>
      <category>RevOps Strategy</category>
    </item>
    <item>
      <title><![CDATA[Leveraging Predictive Analytics in the Sales Recruiting Process]]></title>
      <link>https://orm-tech.com/blog/sales-efficiency-leveraging-predictive-analytics-in-the-sales-recruiting-process/</link>
      <guid isPermaLink="true">https://orm-tech.com/blog/sales-efficiency-leveraging-predictive-analytics-in-the-sales-recruiting-process/</guid>
      <description><![CDATA[How to use predictive analytics and assessment data to improve sales hiring decisions. A 6-step framework that predicted performance with 95% accuracy.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 04 Jan 2017 00:00:00 GMT</pubDate>
      <category>Sales Operations</category>
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      <title><![CDATA[Sales Efficiency Ramp Rates: How Much Should You Invest in Improving Them?]]></title>
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      <description><![CDATA[Learn how to calculate the ROI of improving sales ramp rates. Real examples show how a 10% efficiency gain drives $64K-$120K in first-year orders.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Thu, 22 Dec 2016 00:00:00 GMT</pubDate>
      <category>Sales Operations</category>
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    <item>
      <title><![CDATA[Sales Efficiency: What Should You Really Expect from Your Team?]]></title>
      <link>https://orm-tech.com/blog/sales-efficiency-what-should-you-really-expect-from-your-team/</link>
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      <description><![CDATA[How to calculate sales efficiency ramps by position and tenure. Real data shows why new hires deliver a fraction of expected revenue in year one.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 14 Dec 2016 00:00:00 GMT</pubDate>
      <category>Sales Operations</category>
    </item>
    <item>
      <title><![CDATA[How to Pick a Sales Analytics Platform: A 6-Point Evaluation Checklist]]></title>
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      <description><![CDATA[CRM reporting falls short for forecasting. Use this six-point checklist to evaluate sales analytics platforms that deliver real predictive value.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 07 Dec 2016 00:00:00 GMT</pubDate>
      <category>Pipeline Software & Tools</category>
    </item>
    <item>
      <title><![CDATA[What Is Annual Sales Planning Costing Your Business?]]></title>
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      <description><![CDATA[How the annual sales planning cycle costs mid-sized companies 4-5% in unnecessary expenses. A data-driven case for multi-year planning with turnover and ramp time analysis.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 30 Nov 2016 00:00:00 GMT</pubDate>
      <category>Sales Strategy</category>
    </item>
    <item>
      <title><![CDATA[What Is Your Sales Ramp Rate?]]></title>
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      <description><![CDATA[Sales ramp rates explained with real examples. Learn how to calculate time-to-productivity and set realistic expectations for new sales hires.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 16 Nov 2016 00:00:00 GMT</pubDate>
      <category>Sales Operations</category>
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      <title><![CDATA[The Revenue Plan: Significant Challenges VPs of Sales Face in Annual Planning]]></title>
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      <description><![CDATA[The three pillars of annual revenue planning that VPs of Sales must get right: resource planning, client retention estimates, and net-new revenue goals. A practitioner's guide.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 09 Nov 2016 00:00:00 GMT</pubDate>
      <category>Sales Strategy</category>
    </item>
    <item>
      <title><![CDATA[3 Hidden Costs of Sales Team Turnover (Beyond Recruiting Fees)]]></title>
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      <description><![CDATA[The three hidden costs of sales turnover that most leaders miss: checked-out reps, new hire ramp rates, and vacant territory opportunity costs. Plus practical tips to reduce each.]]></description>
      <author>Pete Furseth</author>
      <pubDate>Wed, 02 Nov 2016 00:00:00 GMT</pubDate>
      <category>Sales Strategy</category>
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