Managing Sales Territories Effectively

From my last 10 years of building an omnichannel brand with significant offline presence, one of my biggest learning is that irrespective of whether you are a founder building a consumer brand or an investor evaluating a consumer brand, the one metric to obsess about while looking at the health of the offline business is “retailer repeats” Doing primary sales by appointing distributor is the easiest thing to do. Doing secondary sales by placing the product in retail counters is a bit tougher than primary, but still fairly straightforward But what is really difficult and really bares whether you have PPCMF( Product Price Channel Market Fit) is repeat and regular sales from the same counters where you have placed your product If you are not able to get repeat sales month on month from the same counters, it means either of the 2 things: a) You have placed your products in wrong counters ( Eg: If I sell premium fans and place products in counters which sell only economy fans, it is bound to fail). This often happens when sales team is incentivized on reach( number of counters you place the product) and they take shortcuts to achieve the reach target b) The product at this price point with current awareness levels is very difficult to sell from this channel So, track M1 repeats( repeat billing in next 1 month) and M3 repeats( repeat billing in next 3 months) obsessively. Unless you are in a very seasonal/slow moving category, M1 repeats should be 50% at least. M3 repeats should be 80% plus For investors investing in Series A/B stage in omnichannel brands who just went offline , start looking at quality of revenue. Because offline market in India is so deep, brands can get away just by doing primary and placement secondary sales for 9-12 months. And without repeats it will come crashing down at some point. And if investors valuing these brands on a revenue multiple will find themselves in a tough spot And in case you don’t have access to system secondary sales data, look at hard metrics like collections and geography split of sales. If the accounts receivables also keep on increasing with revenue, it is a sign of channel stock increasing. If the brand has to keep opening new markets and expanding to new geographies to get sales, it is a sign of no PPCMF The best brands will have high repeats, continuously increasing throughput from existing retailers and will not be spreading themselves too thin from a geography point of view in the early stages of offline expansion

One of my biggest mistakes while running PlanGrid was not paying enough attention to sales operations, particularly around quota planning and territory assignments.  Our quota overassignment revolved around 40%, from the front-line reps all the way up to the head of sales.  In other words, we assigned 40% more street quota than our actual company revenue target.  Even though we hit our aggressive triple-digit growth goals during those years, we weren’t able to generate the pipeline needed for every rep to succeed.  As a result, many sales reps consistently missed their targets, leading to high turnover. My board taught me to focus obsessively on financial metrics like magic number, NDR, gross margin, churn, which are all important.  But these metrics offer an incomplete view of the business, as they’re far removed from the day-to-day reality and culture of the customer facing organization. Hindsight is 20/20.  In 2016–2018, most of our sales team wasn't hitting quota, even though the head of sales and company did.  That’s a broken model.  A small percentage of top performers carried the team, while the majority of the team struggled to hit their OTE.  Many reps weren’t making enough to support their families.  Naturally, they self-selected out.  That attrition came at a high cost: we lost tribal knowledge, had to spend time and resources recruiting replacements, and then had to ramp new hires from scratch. If I could timewarp back to 2015, when our first sales reps joined, here’s what I would do differently: 1. Limit Quota Overassignment (low single digits) This would place more responsibility on managers to help their teams succeed and align the full organization around achievable goals. 2. Ensure Equitable Territories With a land-and-expand business, new reps without a renewal base had no realistic shot at hitting their OTE in year one.  If we had allowed managers to participate in territory planning and fairly distribute accounts, we could have better retained talent and improved team wide performance. Transparency is key.  It would have relieved a lot of disputes about account assignments. 3. Adjust Quotas in Down Years No one enjoys hitting only 70% of quota, regardless of the number.  People don’t wake up aiming to do a C-minus job.  In years when the majority of the team was significantly below target, we should have reduced quotas to protect morale and performance. Our HR team estimated that it cost about $7,000 to hire a sales or marketing employee, and $10,000 per engineering hire (just for sourcing, process, and interviews).  Attrition is expensive. Note: these benchmarks are from the mid 2010s. 4. Ask Better Questions A few critical questions to revisit regularly: "How do we raise the bar without breaking the team?" "Who carries the weight, reps, managers, or leaders?" and “Does our compensation reflect that?” "Which segments do we double down on, and where do we shift territories to maximize growth.”

"Let's just divide accounts evenly among reps." Famous last words from every sales leader who's never done territory math. Six months later: Rep A closes $800K, Rep B closes $200K. Same quota. Same comp plan. Different territories. Folks - territory planning isn't about fairness. It's about math. Here's the formula to always keep in mind: Territory Value = (Account Potential x Win Probability x Coverage Capacity) - Competitive Density. So, how do you apply the formula? Let's bust out our TI-82s and break this down... Step 1: Calculate the true account potential. Don't use company size alone. Use buying indicators: - Recent funding rounds (+50% potential). - Executive hiring sprees (+30% potential). - Tech modernization projects (+40% potential). Example: 500-employee company = $50K base potential + $10M Series B = $75K total. Step 2: Determine the win probability by account type. - Green field (no solution): 25-30% win rate, 4-6 month cycle. - Competitive displacement: 15-20% win rate, 6-9 month cycle. - Expansion accounts: 60-75% win rate, 2-4 month cycle. Step 3: Eval the coverage capacity reality. Each rep can effectively work: - 25-30 ENT accounts (15-20 hours/month each). - 50-75 MM accounts (8-12 hours/month each). - 100-150 SMB accounts (3-5 hours/month each). Step 4: Inspect geographic efficiency. - Dense metro: 8-10 meetings/week (1.0x capacity). - Regional spread: 4-6 meetings/week (0.75x capacity). - National territory: 3-4 meetings/week (0.6x capacity). Step 5: Measure the competitive density tax. - Low competition: +20-30% win rates. - Saturated markets: -25-35% win rates. Here's an example of how to score territories: 1. Territory A: 40 enterprise accounts x $90K potential x 25% win rate x 0.8 geography x 0.9 competition = $648K. 2. Territory B: 60 mid-market accounts x $35K potential x 35% win rate x 1.0 geography x 1.1 competition = $809K. As you'll see, territory B wins despite LOWER account values. Once you've run the math, don't treat all accounts equally. Allocate effort thusly: - Tier 1 (20% accounts, 60% revenue): Weekly touches, exec relationships. - Tier 2 (30% accounts, 30% revenue): Bi-weekly touches, manager relationships. - Tier 3 (50% accounts, 10% revenue): Monthly touches, inside sales. At the end of the day, good territory planning is applied mathematics, not office politics. Equal doesn't mean fair when account potential varies 10x. Run the math. Weight the factors. Track the results. Because the rep with the better territory will always outperform the rep with more accounts. Remember that math doesn't lie, but territory assignments definitely do. :)

Franchise maps aren’t just pretty pins. They’re market X-rays. When you study where brands choose to open (or close), you’re seeing their underwriting assumptions about income, density, mobility, and demand. That’s gold for real estate decisions. What these footprints often signal: ✅Starbucks → higher incomes, daytime office traffic, walkable nodes; supports Class A multifamily & boutique retail. ✅Chipotle Mexican Grill → young professionals, strong lunch/dinner quick-serve volumes; near campuses, hospitals, and office clusters. ✅Walmart → broad trade areas, auto-oriented sites, value-driven spend; anchors necessity retail and workforce housing. ✅Whole Foods Market→ premium incomes, health/wellness spend, higher rents; aligns with core urban/suburban infill. Add these to your radar: ✅Target (especially small-format): dense urban families, “one-stop” convenience. ✅Costco Wholesale: regional draw, high car ownership, strong household formation. ✅Trader Joe's Joe’s: educated, price-sensitive, but quality-focused shoppers - often early gentrification reads. ✅ALDI/Lidl: cost-conscious growth markets, infill and secondary suburbs. ✅Dollar General / Family Dollar: rural & lower-income micro-markets; thin grocery coverage. ✅Home Depot / Lowe’s: owner-occupied housing stock, renovation cycles. ✅McDonald’s / Chick-fil-A: drive-thru throughput = commuter flows & family spend. ✅Equinox / Lifetime vs Planet Fitness: fitness tiering that mirrors rent and income bands. ✅CVS Health / Walgreens: aging populations, healthcare adjacency, corner visibility. ✅7-Eleven / Wawa / QuikTrip: commuter corridors, fuel + convenience demand. ✅Apple Store: regional luxury + tourism gravity (rare but powerful anchor). How we analyze this (and avoid false “Whole Foods effect” myths): Trade-area first: 5/10/15-minute drive-time or walk-shed isochrones; compare actual households, HH income, and daytime population. Brand clusters & co-tenancy: Which combinations repeat before rent growth or absorption spikes? Temporal trends: Openings/closures over 3–5 years - who’s expanding into your submarket now? Mobility & access: ADT, transit stops, parking ratios, curb cuts; drive-thru approvals matter. Saturation & cannibalization: hex-bin density vs. spend capacity to spot the next viable corner. Unit economics proxies: line length (computer vision), review velocity, mobile foot-traffic - early read on sales. Cross-asset read-through: franchise mix → likely rent levels, tenant improvement risk, and achievable NOI for retail/multifamily. Bottom line: brands pre-screen markets with their own data science. If you follow the footprints and test them against local demographics and mobility, you can identify neighborhoods that are about to reprice, not just those that already did. Do you want to add anything else? #RealEstate #PropTech #LocationIntelligence #Retail #Multifamily #SiteSelection #DataDriven #UrbanEconomics #MarketResearch

Yesterday, I watched a rep waste 6 weeks chasing a $15K deal while a $400K opportunity went cold in the same territory. Here's what happened. New rep gets 47 accounts. No system. No framework. Just "go sell something." He did what 90% of reps do … chased whoever responded first. Big mistake. After 15+ years building territories, here's the exact 4 step system that turns any territory into a revenue machine: #1 Foundation security Visit all Tier 1 accounts ($1M+ potential) within 30 days. These represent 80% of your quota. Assess relationship health, competitive threats, and expansion opportunities first. #2 Intelligence gathering During every discovery call collect: current usage, integration challenges, team growth plans, budget cycles, decision maker org chart. Pro tip: Always connect with the IT/Operations team. They influence 60% of buying decisions and know where the real pain points are. (Just don’t get stuck here) #3 Opportunity matrix Look for accounts doing $150K with you but $1M+ with competitors/in-house. High service volume = high sales potential. (adjust these numbers accordingly based on your ARR) #4 Land and expand Never try to replace everything at once. Week 1-2: Identify competitor/in-house gaps. Week 3-4: Lead with complementary solutions. Week 5+: Prove value with wins. Week 7+: Expand footprint. Priority scoring formula: 60% time on High Value + High Probability (existing customers with large expansion opps) 30% time on High Value + Lower Probability (large accounts with competitor/in-house entrenchment) 10% time on everything else This system helped teams increase territory performance 40%+ in 90 days. Check out the carousel for more details how this works. — Sales leaders! Want to run better QBRs?! Check this out: https://lnkd.in/gW9ApfMZ

It’s that time of year…let’s completely deflate 80% of the sales organization in 2026 time of year! Most quota methodologies are probably destroying team morale Many sales leaders set quotas using last year's results plus a growth factor. "We did $50M last year, so we need $68M this year. Divide by number of reps." This approach assumes all territories and reps are identical. They're not. Some territories have higher market potential. Some have been farmed longer. Some have a better concentration of our ICP Some reps inherit hot accounts. Others get burned territories. Setting uniform quotas across different situations creates instant unfairness. High-potential territories get easy quotas. Challenging territories get impossible ones. The reps who need the most support get the most pressure. Better quota methodology considers: Market potential ➡️ What's the addressable market size for each territory? Account maturity ➡️ How long have these accounts been worked? Historical performance ➡️ What's the realistic baseline for this specific territory? Pipeline health ➡️ What's already in motion for next year? Investment level ➡️ How much marketing/SDR support does each territory get? The goal isn't equal quotas. It's the right quota based on the territory. Fair means each rep has a realistic path to success based on their specific situation. When quotas feel achievable, reps stretch for them. When quotas feel impossible, reps give up before they start. We just started implementing BoogieBoard for this exact reason for clients. Excited to see the potential results!

A very frustrating pattern shows up again and again in commercial deals. Teams look at a counterparty’s redlines and treat them as a signal of whether that party is “easy to work with.” In some cases, they even use the volume of redlines to choose between potential partners. It is not fair and it is not reasonable. Redlines rarely reflect attitude. They reflect internal policies, regulatory demands, industry standards, audit requirements, and risk controls. A clean draft can mean a team has broad discretion. It can also mean the draft was barely reviewed. A heavily marked draft can mean the opposite. These differences are structural, not personal. When redlines are used as a sorting mechanism, the results skew the wrong way. The parties who skip or soften review look frictionless. The parties who do thorough analysis look difficult. That dynamic rewards the least rigorous reviewer and punishes the teams that take their obligations seriously. If the goal is to understand how a potential partner actually operates, better indicators exist. Look at how they explain their revisions, how they respond to constraints, and how they work toward a practical middle ground. Those behaviors correlate with long term stability far more than the number of markups in a document. Redlines are part of the process, not a performance test. Treat them as signals, not scorers, and the selection process becomes far more accurate. I am Colin, General Counsel at Malbek and author of The Legal Tech Ecosystem. #legaltech #innovation #law #business #learning

Why is no one talking about the real issue in field sales? Most sales reps are executing but zero ownership. And it’s costing companies millions in lost opportunities. I worked with a VP of Sales in the industrial sector who had strong boots on the ground. But here’s what we uncovered: His field reps were running routes, checking boxes, and reporting back… But they weren’t thinking like owners of their territory. No pipeline strategy. No prospecting game plan. No real understanding of their numbers beyond what was handed to them. So, we built something different: A Territory CEO Framework. Reps began each quarter with a territory business plan. They segmented their accounts by potential, not just geography. They started tracking leading indicators, not just lagging results. Weekly 1:1s shifted from check-ins to strategic reviews. What happened next? → One rep identified a stalled account worth $500K and flipped it. → Another reduced their travel by 30%, and doubled their face-to-face selling time. → Team-wide forecast accuracy went from 62% to 89%. The magic wasn’t in more effort. It was in more autonomy and ownership. Because when your field reps start thinking like Territory CEOs, they stop waiting for direction, and start driving outcomes.

conversation rate = function ( quality of lead, awareness stage, product differentiation, salesperson capabilities and bandwidth, management support, customer references, market reputation, competition positioning, k ) 1. Quality of lead : No two leads are the same quality, if your scoring is basic, your understanding of conversion rates will be rudimentary. 2. Awareness stage : Not every lead is at the same awareness level. It takes more effort to convert someone who is problem unaware versus product aware. 3. Product differentiation : You should have a clear unique value proposition that can be identified by product features. This needs to be documented and should be part of enablement. 4. Salesperson capability : Unless you are a category leader and have a very strong brand presence, the salesperson will make a difference. Their hard and soft selling skills will be the difference if there is parity in product. Bandwidth is another aspect that will decide the quality of engagement your rep will have with the prospect. The tenure of a rep matters, someone who is new will have a lower conversion rate than someone who is tenured. 5. Management support : Selling is a team sport and sometimes you need to bring out your big guns when the competition is fierce or you are out whale hunting. 6. Customer references : Social proof voiced by customers is the best pitch. If your website has 3 year old case studies, you aren't doing a great job. 7. Market reputation : Brand matters. People don't want to lose their job because they bought you. So start building from day 1. 8. Competition positioning : Everyone would buy a Ferrari if it was priced like a Toyota. Nothing wrong with the Toyota but humans want to extract the most bang for the buck. A red ocean conversion rate looks very different from a blue ocean conversion rate. 9. K : There will always be other factors that you may not even know - bias, personal relationships, etc. You can't solve for these. Conversion rates is an important metric but you are fooling yourself by thinking you can control it without investing heavily in the entire buying lifecycle.

This took me 6 years to learn, I'll teach it to you in 2 minutes:   How to turn redlining from a war zone into a 48-hour sprint.   I’m not a lawyer.   But I’ve spent 25+ years coaching legal teams through one of their biggest sources of friction:   Redlining.   It’s rarely about the contract itself. It’s about the "mindset" around it.   Here’s what I’ve seen:   → Legal vs Procurement = battle of egos → Comments get weaponized instead of clarified → “Protect the business” becomes “protect my edits”   This is what I call Redlining Paralysis.   The contract sits in limbo, not because of complexity, but because the negotiation was never aligned to begin with.   Here’s what the fastest teams I coach do:   ✅ Run a 15-minute alignment call before touching the doc   → Legal, procurement, and business define:   - What’s actually flexible - What’s a no-go - Who decides if there’s conflict   ✅ Use a simple 3-color tag system inside the contract   → Green = Good to go → Yellow = Can accept if needed → Red = Needs legal review or leadership input   Just add a comment:   “Tagged RED – this exposes us to uncapped liability.” “Tagged YELLOW – check with finance if we can absorb this.”   This tells everyone what matters. No guessing, no bottlenecks.   ✅ Send the first round of edits with human explanations   → Instead of legalese, just say:   “Flagged this clause because we’ve had issues in the past. Would you consider X instead?”   The goal? Don’t just redline the words. Negotiate the meaning behind them.     Legal teams:   What section always slows you down? Indemnity? Jurisdiction?   Drop it below — I’ll share what I’ve seen work in fast-moving negotiations.   ---------------- Hi, I’m Scott Harrison and I help executive and leaders master negotiation & communication in high-pressure, high-stakes situations.  - ICF Coach and EQ-i Practitioner - 24 yrs | 44 countries | 150+ clients   - Negotiation | Conflict resolution | Closing deals 📩 DM me or book a discovery call (link in the Featured section)