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Improving Territory Management w/ Predictive Scoring

Improving Territory Management w/ Predictive ScoringImproving Territory Management w/ Predictive Scoring

New mobile apps to keep an eye on

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What new social media mobile apps are available in 2023?

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Use new social media apps as marketing funnels

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Try out Twitter Spaces or Clubhouse on iPhone

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What app are you currently experimenting on?

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Territory management is a critical process for B2B SaaS companies that strive to maximize their sales productivity and revenue generation activities. 

However, it isn’t a simple process to carry out. 

Getting the most of it requires you to constantly optimize your territory design and alignment, as market conditions evolve and new data flows into the business. 

What is Territory Management

Territory management is the strategic mapping of geographic and industry segments to sales teams.

The goal is to optimize sales capacity and accelerate revenue generation, by allocating workload and opportunities fairly across all territories.

Done poorly, territory design can hurt your revenue generation efforts, straining resources and leaving potential customers underserved. 

Additionally, poorly planned territories can lead to higher sales representative turnover as reps become frustrated with suboptimal alignment or inequitable workloads.

As a result, businesses must continually reevaluate territory mapping as new prospects emerge and existing accounts evolve and expand.

What is Predictive Scoring

Predictive lead and account scoring is an application that helps us to identify our best and worst prospects.

It does so by monitoring and processing the large amounts of data coming into our CRM, marketing automation platform, and product analytics 24/7/365.

The scoring system analyzes our data, and then surfaces account scores and insights needed to enhance territory management.

Achieving balanced, fair distribution across all territories

Ok, so how does predictive scoring help to transform territory management optimization? 

Let’s break it down:

  • Joining Cross-Cloud Customer Data - First AI helps us to combine all of our cross-cloud customer data, a process that previously required the help of data teams.
  • Finding Patterns to Identify High-Potential Prospects - To ensure we're going after the right prospects in the first place, AI uses your data to find patterns and correlations, related to leads most likely to need our solution.
  • Producing Real-Time Scores - AI then produces lead and account level insights to help us gain an accurate, real-time view of the opportunity landscape.
  • Revealing Buying Stage to Set Follow-Up Priority - The AI model indicates where leads are in their buying journey, helping us to segment territories accordingly and assign the right follow-up for each territory segment:
    • TOFU - Leads just entering the funnel may need more nurturing and are routed to marketing.
    • MOFU - Leads actively researching solutions are routed to SDRs.
    • BOFU - Prospects further down the buying journey, ready to pull the trigger, are routed to AEs to close the deal.

This level of insight helps Sales Ops to ensure every territory has coverage matched to the dynamic mix of prospects. Furthermore, it helps to scale follow-up capacity as new segments emerge.

Rather than using gut instinct, AI predictions give you better visibility into your pipeline, leading to better informed territory decisions that put every rep in a position to succeed.

Improving Territory Design with Predictive Scoring 

Predictive scoring provides a forward-looking assessment of prospects’ sales readiness, and this allows us to understand the potential of leads across territories and fine-tune territory coverage.

For instance, geographies with higher concentrations of sales-ready prospects may warrant additional seller capacity.

Meanwhile, lead scoring identifies emerging high-potential targets within territories in real-time. 

Sales reps can be alerted to promising inbound leads as scoring models continuously analyze activities that go beyond firmographics and demographics.

Such activities include form submissions, site visits, content downloads, product-usage activity, and even support ticket submissions. 

With enriched data on territory leads, companies can adjust alignments to capitalize on nascent opportunities with speed and a hyper personalized outreach.

Illuminating Renewal and Upsell Potential with Account Scoring 

While new customer acquisition is key, major revenue growth also depends on expanding existing accounts. 

Here, predictive account scoring provides territory-level visibility into renewal and upsell propensity.

Factors like usage data, support tickets, product adoption and relationship strength determine account expansion potential. 

With this data, sales reps can prioritize territories with underserved renewal and cross-sell opportunities. 

This ensures territory design is dynamic - adapting as customer needs and profiles evolve over time.

Combining Insights to Optimize Territory Mapping

By unifying lead and account scoring insights, sales operations teams gain a comprehensive view of the total addressable market across territories.

This allows Sales Ops to simulate the revenue impact of potential realignments, based on the current work capacity, geographic and industry nuances, as well as sales playbook requirements.

The result is each rep aligned with the highest-converting prospects while ensuring realistic quotas.

Driving Efficiency Through Ongoing Optimization and Agility 

Markets move fast. Predictive scoring translates real-time data into refreshed territory insights that sales ops can action quickly. 

Adapting territories to ever-changing conditions is easy with self-learning, self-improving algorithms that update lead and account scores automatically.

This agility is key to optimizing sales productivity. Predictive scoring turns territories into dynamic, demand-based segments that evolve with the market rather than static maps. 

The outcome is sustainably high-performing sales territories.

Final Thoughts

Territory design is integral to execution, and reinforcement of sales methodologies. 

It must balance capacity, opportunity, and revenue goals across market segments. 

Predictive lead and account scoring make achieving this balance easy with data-driven alignment recommendations.

By implementing predictive analytics, sales teams can realize the full upside of territory management. 

Dynamic mapping powered by AI algorithms ensures reps only focus on imminent, high-value opportunities.

In a world where AI hype often centers around ChatGPT and Midjourney, Predictive AI stands as a key driver for B2B SaaS vendors, enhancing productivity and propelling revenue growth.

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- This article was written in collaboration with Matthew Wester, Sales Planning Manager (GTM Strategy & Operations) at Copado.

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