01
Reps visit the wrong accounts
Rep allocation follows geography and habit, not opportunity. High-potential accounts get no attention. Territory capacity goes unused because reps don't know where the expansion opportunity actually is.
Sales Intelligence
Decision Intelligence
Rank which accounts your reps should visit, this week.
Decision intelligence that identifies secondary sales opportunities and ranks which accounts reps should visit each week by opportunity size and churn risk. Works with your CRM. Deployed in your workflow.
Rep Visit Queue
Accounts ranked by opportunity & risk.
Westridge Fashion$87K
Emerald Retail$52K
Northbound Apparel$44K
Ranked by secondary sales opportunity, churn risk, and rep capacity. Your sales team visits highest-opportunity accounts first.
Ranked by business impact, not geography or habit
The Problem
Sales expansion is left to intuition. Reps visit accounts by habit, not opportunity.
Without visibility into account health, secondary sales potential, and churn risk, rep visit patterns default to comfort, geography, or last month's activity.
02
Secondary sales are missed
Cross-sell into new categories happens by chance, not by plan. Reps don't know which accounts are ready to expand until months after the opportunity window closes. Revenue gets left on the table.
03
Account churn goes undetected
Strategic accounts decline quietly. Order frequency drops. Category mix shifts. By the time anyone notices, the account is already gone or significantly damaged.
The Shift
From intuition to ranked priority.
Account expansion becomes a system, not a guess. Data-driven, not habit-driven.
Before
“Which accounts should we visit this week?”
Reps plan their week from memory, geography, and last month's activity. High-potential and at-risk accounts blend in with routine stops. Expansion opportunities and quiet churn both go unseen until it's too late to act.
After
“Which accounts move the number this week?”
A ranked visit queue sorts accounts by secondary sales opportunity, churn risk, and rep capacity. Your team calls on the highest-impact accounts first, with the expansion play and the at-risk signal already surfaced.
Four Layers of Decision Intelligence
How we build it.
Sales Intelligence sits on a four-layer decision stack. Each layer builds on the previous one.
1. Descriptive
What is the current state?
Baseline view of every account right now — order history, category mix, last-visit recency, and lifetime value, pulled from your CRM and order systems. What does the account base show today?
Example output
312 active accounts. 46 have not been visited in 60+ days. 28 show declining order frequency.2. Conversational
Ask me anything.
Questions about accounts, territories, and opportunity. "Which accounts are ready to buy a second category?" or "Which of my top accounts are slipping?" Human-in-loop analysis across your customer data.
Example output
18 accounts are strong cross-sell candidates. 9 top-tier accounts show early churn signals.3. Predictive
What will happen?
Forecasts which accounts are likely to expand, which are at risk of churning, and the size of the secondary sales opportunity. Trained on your historical order and account patterns.
Example output
$1.2M in secondary sales opportunity across 34 accounts. 11 accounts at elevated churn risk next quarter.4. Recommendation
What should we do?
A ranked weekly visit queue. Each account shows the expansion play, the churn signal, and the opportunity size, matched to rep capacity and territory. Your team always has the final call.
Example output
This week's visit queue: 12 accounts ranked by opportunity and risk, mapped to each rep's route.How We Deliver
Deployed in your CRM.
Sales Intelligence connects your CRM, order history, and customer data. Ranked visit queues and expansion plays are delivered where your reps already work — CRM, mobile, or your existing BI platform.
Step 1Discovery
Audit your CRM, order history, and customer data. Map current territory logic, visit cadence, and how reps decide where to go. Identify the accounts and segments to model first.
Step 2Model Development
Build opportunity, churn-risk, and product-affinity models. Train on your historical order and account data. Validate expansion and churn predictions against known outcomes.
Step 3Pilot Deployment
Deliver a ranked visit queue to one team or territory. Live pilot with sales leadership and reps in the field. Refine ranking logic and plays from rep feedback.
Step 4Scaling & Integration
Roll out to all territories and reps. Push the visit queue and expansion plays into your CRM and mobile workflow. Establish weekly, monthly, and quarterly cadences.
Step 5Continuous Improvement
Monitor conversion, expansion revenue, and retained accounts against baseline. Retrain models as the account base and rep team evolve. Proactively surface new opportunities.
Expected Outcomes
What your team will see.
Field sales shifts from habit-driven routes to opportunity-driven priorities.
More secondary sales
Reps arrive at accounts that are ready to expand, with the cross-sell play in hand. Category expansion stops happening by chance.
Earlier churn detection
Declining accounts surface while there is still time to act. At-risk revenue is defended before it walks out the door.
Higher rep productivity
Every visit is aimed at an account that moves the number. Territory capacity goes to opportunity, not routine stops.
Smarter territory coverage
Visit routes match where the opportunity and risk actually are. No more high-potential accounts sitting untouched.
Clearer sales priorities
Reps and managers work from the same ranked queue. Decision logic is transparent and defensible, not a gut call.
Protected account value
Strategic accounts get attention before they slip. Retention and lifetime value improve across the base.
Program Fit
Is this right for you?
Good fit if...
- You have a CRM and order history with accessible account-level data
- You run a field or inside sales team covering many accounts
- Secondary sales and cross-sell are a real growth lever for you
- Rep time is limited relative to the number of accounts to cover
- You have a BI platform (Power BI, Tableau, Looker, Qlik, or similar) or a CRM to deliver into
Not a good fit if...
- You have very few accounts or a single large customer
- You have no CRM or accessible order history
- Every account already gets full coverage regardless of opportunity
- You do not have analytics infrastructure or a system to deliver into
Frequently Asked
Sales Intelligence FAQs
Common questions about scope, data, timeline, and how this works alongside your CRM.
01What is Sales Intelligence & Account Expansion?+
Sales Intelligence & Account Expansion is a decision intelligence program that identifies secondary sales opportunities, ranks which accounts reps should visit each week by opportunity and churn risk, and detects account health issues early. It combines five data domains — order history, customer LTV, CRM data, product affinity, and rep performance — and delivers a weekly ranked visit queue, a monthly expansion pipeline, and quarterly territory rebalancing.
02What data do you need?+
Order history (what each account buys and how often), customer data (lifetime value, segment, tenure), CRM activity (visits, contacts, pipeline), product data (category and affinity relationships), and rep data (territories, capacity, performance). Most retailers and distributors have this in their CRM, ERP, or order systems. If it is scattered, we help integrate it during discovery.
03How is this different from our CRM?+
Your CRM records what happened — contacts, visits, and pipeline. Sales Intelligence sits on top and adds the decision layer: it ranks which accounts to visit and why, predicts expansion opportunity and churn risk, and delivers a prioritized weekly queue. The CRM stays your system of record; we make it tell reps where to go next.
04How long does implementation take?+
Timeline depends on data complexity and your team's availability. Discovery typically takes 2-4 weeks. After that, we build and validate models iteratively. You will see a ranked visit queue within a few weeks of discovery. Exact timing becomes clear during our first conversation after we review your data landscape.
05What is the typical cost?+
Cost varies based on data complexity, the size of your account base, and implementation scope. We typically quote after discovery, once we understand your CRM and order data. Most retailers and distributors find the investment recovers through recovered secondary sales and retained accounts within the first year. Let us discuss your specific situation.
06Can this work across multiple teams or territories?+
Yes. The same framework scales across teams and territories. Each rep gets a visit queue ranked by local opportunity and churn risk, matched to their capacity. Roll-ups help sales leadership rebalance territories and spot where coverage and opportunity are misaligned.
Get Started
Ready to point your reps at the right accounts?
Let's talk about how Sales Intelligence & Account Expansion can work for your team. Discuss your account base, explore the fit, and see if this is the right next step.
Mid-market retail & distributionField & inside sales teamsDeployed in your CRM