Inquiry routing: assign by region, product, and deal size while balancing sales workload

Inquiry assignment isn't about who's free, it's about matching the right salesperson by region, product, and deal size, while using load balancing to cap how many inquiries each person handles. High-intent inquiries (score 80+) go out immediately; 60 to...

询盘分配路由:按能力分,不按运气分Inquiry routing: by capability, not by luck 平均分配询盘 = 平均浪费询盘——高能力销售应该拿更多高质量询盘Equal distribution = equal waste — top reps deserve better leads 新询盘进入路由队列New inquiry enters queue 先评分,再分配,不随机Score first, then route — never random 按地区路由By region 语言+时区+本地销售Language, timezone, local rep 按产品路由By product 产品线专家优先Product-line expert first 按规模路由By size 大客户给资深销售Big deals to senior reps 负载均衡:看当前在手询盘数,不看工龄Load balance: by active deals, not tenure 在手询盘超过15个的销售不再分新询盘,等他消化到10个以下再继续Reps with 15+ active leads pause at 10 before next 分配优先级:高意向询盘优先分配,低意向进培育池排队High-intent routed first, low-intent to nurture pool 评分≥80分立即分配,60至79分1小时内分配,低于60分进培育序列80+ instant, 60-79 within 1hr, under 60 to nurture 反直觉:平均分配询盘看起来公平,实际上是对高转化销售的惩罚Counter-intuitive: equal routing punishes top performers 转化高的销售应该拿更多高质量询盘,转化低的先从低意向练手High converters get better leads; low converters practice first
Inquiry routing decision tree: region, product, and deal size, layered with load balancing

Inquiry routing: assign by region, product, and deal size while balancing sales workload

Bottom line first: Inquiry assignment isn’t about who’s free, it’s about matching the right salesperson by region, product, and deal size, while using load balancing to cap how many inquiries each person handles. High-intent inquiries (score 80+) go out immediately, 60 to 79 go out within an hour, and anything below 60 enters the nurture sequence. Counterintuitive call: splitting inquiries evenly looks fair, but it actually punishes your best closers. High converters should get more high-quality inquiries; low converters should start on low-intent leads. Set the load cap at 15 open inquiries per person, and pause assignment once someone hits it.

1. The three assignment dimensions: how region, product, and deal size stack

When an inquiry comes in, score it first, then route it. Routing isn’t based on a single dimension, it stacks region, product, and deal size. A salesperson who matches all three gets priority, two matches come next, and one match is the fallback. This order of priority can’t be shuffled.

Dimension Match criteria Weight What happens when it doesn’t match Example
Region Buyer’s country, language, time zone 40% Language barrier, time zone mismatch, slow response A German buyer goes to a German-speaking salesperson
Product Product line or model mentioned in the inquiry 35% Not enough expertise, can’t answer technical questions An inquiry about model X100 goes to the X100 product line salesperson
Scale Estimated order volume, customer tier 25% A big account goes to a junior rep and the deal is lost A customer buying $500K a year goes to a senior salesperson

Of the three dimensions, region carries the most weight (40%), because language and time zone are hard constraints. Route a Japanese buyer’s inquiry to a salesperson who doesn’t speak Japanese and is 8 time zones away, and even with strong product expertise, the reply won’t go out until the next afternoon, blowing the first-response SLA. Product carries 35%, because failing to answer a technical question is worse than replying late. Deal size carries 25%, mainly to keep big accounts from being misrouted to new hires.

Example: an inquiry comes in from Brazil mentioning Model X200, with an estimated monthly purchase of 2,000 units. By region, it should go to a South America rep who speaks Portuguese; by product, the senior rep on the X200 line knows it best; by deal size, 2,000 units a month makes it a key account, so it should go to a senior rep. All three dimensions point to the same person — that’s the ideal outcome. If three different people match on different dimensions, score them by region 40% + product 35% + deal size 25% and pick the highest total. For the overall approach to lead scoring, see Lead Scoring and Prioritization for Inquiries.

2. Load balancing: distribute by capability, not equally

This is the most important judgment call: load balancing does not mean splitting inquiries evenly. When many teams set up routing, their first instinct is “everyone gets the same number of inquiries.” That looks fair, but in practice it punishes your best closers. A rep who closes 20% of inquiries and one who closes 5%, given the same number of inquiries, means high-quality inquiries are wasted on the low converter.

Rep type Typical close rate Recommended distribution Max open inquiries Inquiry quality tier
Senior salesperson 15% to 25% Priority for high-intent inquiries 12 to 15 Score 70+ first
Mid-level rep 8% to 15% Normal distribution, with coaching 10 to 12 Score 50 to 70
Junior rep 3% to 8% Low-intent inquiries for practice 8 to 10 Score 40 to 60
Sales manager — Escalations and key accounts only No proactive distribution Score 85+ or escalations

The most counterintuitive point in this table: senior reps actually have a higher cap on open inquiries (12 to 15), not a lower one. That’s because they close at a higher rate, so they work through the same number of inquiries faster and nothing piles up. Junior reps have a lower cap (8 to 10) because they follow up slowly, and too many inquiries will pile up. True load balancing means “distribute by capacity to work inquiries,” not “split evenly per person.”

The exact load cap numbers can be adjusted to fit your team. The core rule: when a rep’s open inquiries reach 80% of the cap, the system sends an alert; at 100%, new inquiries stop going to them and go to a teammate in the same group; once they move their open inquiries to the next stage (quoted, sample sent, etc.) and the count drops, distribution resumes. This keeps inquiries from getting stuck when a rep is on vacation or swamped. For team structure and role setup, see Taking a Go-Global Team from 0 to 1.

3. Distribution SLA: how fast inquiries go out

Faster distribution isn’t always better, but there must be a time limit. If a high-intent inquiry is distributed slowly, the first-response SLA is already broken. Low-intent inquiries can wait a bit, since they’re still in the nurturing stage. Tier the time limits by score.

Inquiry score Intent score Distribution SLA How credit is assigned Action on timeout
80 or above A · High intent Distribute immediately (within 5 minutes) Auto-route + manager confirmation If unassigned after 10 minutes, auto-forward to the on-duty manager
60 to 79 B — Medium intent Assigned within 1 hour Auto-routing Escalate to manager if unassigned after 2 hours
40–59 points C — Low intent Assigned same day Bulk assignment Moved to nurture pool if still unassigned next day
Under 40 points D — Nurture Not assigned directly Enter marketing automation sequence Nurtured by marketing team

A-grade leads must be assigned automatically, never through manual approval. The moment someone has to decide by hand who gets an A-grade lead, the 5-minute SLA is broken. The right approach: the system scores the best match across three dimensions, assigns it directly, and notifies the manager. If the manager thinks the assignment is wrong, they can adjust it within 10 minutes — but by default it runs automatically and waits for no one.

Don’t route D-grade leads to sales, because even if you do, the rep won’t work them. D-grade leads belong in the marketing automation nurture sequence, warmed up slowly through email, content and events, and only enter the sales assignment pool once they heat up to C or above. This tiering saves reps’ time and spends it only on leads worth spending it on. For how first-response SLA works with assignment, see First-response SLA and conversion rate for inquiries.

4. Handling assignment exceptions: what if the routing is wrong

A routing system can’t get it right 100% of the time. So what do you do when it’s wrong? The key is to have a “return mechanism” and a “re-routing mechanism” instead of forcing a rep to grind through a lead that doesn’t fit.

Exception scenario Trigger Action Re-routing target Latency
Language mismatch Rep doesn’t speak the buyer’s language Can be returned within 24 hours Rep in the same region who speaks that language Reassigned within 4 hours
Product mismatch Lead’s product line is outside the rep’s scope Returned within 12 hours Rep for the matching product line Reassigned within 2 hours
Capacity full Rep already at the limit of active leads Automatically returned to the queue Next-best rep on the same dimension Re-routed immediately
Buyer names someone Buyer asks for a specific person in their email Skip routing and assign directly The person named Assigned immediately

The key to a return mechanism: reps must feel no guilt about returning a lead. Many teams treat return rate as a performance metric, so reps take on leads they know they can’t handle and end up killing them. The right approach is to not measure return rate, but to require a reason for every return — with a reason logged, the system can learn and route better next time. The common return reasons are the four types in the table above, and the system keeps refining routing weights from that data.

Connecting your website to the CRM is the technical prerequisite for routing to run automatically. For field mapping, deduplication and auto-assignment rules, see Website leads to CRM. For form reliability and data quality issues, see Inquiry Form Reliability and Spam-Proof Delivery.

FAQ

Should leads be split evenly among reps?
No. Equal distribution looks fair, but in practice it punishes your best closers. If a rep who converts at 20% and a rep who converts at 5% get the same number of leads, you’re wasting high-quality leads on the low converter. The right approach is to allocate by ability: senior reps get more high-intent leads, junior reps practice on low-intent ones. True load balancing means distributing by capacity to work leads, not splitting them evenly per head.
How many leads should one rep work at the same time?
Tier reps by ability: senior reps cap at 12 to 15 leads, mid-level at 10 to 12, junior at 8 to 10. At 80% of the cap, the system sends a warning; at 100%, it stops assigning new leads and routes them to a teammate in the same group. Once the rep moves current leads to the next stage and the count drops, assignment resumes. That cap isn’t a guess. Look at how fast your team actually works leads and set it at the point where nothing piles up.
How fast must a new lead be assigned?
Tier by score: A-grade (80+) auto-assigned within 5 minutes, B-grade (60 to 79) within 1 hour, C-grade (40 to 59) within the same day, D-grade (under 40) not assigned and sent to the nurture pool. A-grade leads can’t go through manual approval. They must be auto-routed by the system, or the 5-minute first-response SLA breaks. Any A-grade lead still unassigned after 10 minutes goes automatically to the on-duty supervisor.
What if a lead is assigned to the wrong rep?
Set up a return mechanism: reps can return mismatched leads within 24 hours, and they must give a reason. The system keeps refining routing weights based on return reasons. Don’t track return rate as a metric, or reps will force themselves to take leads they can’t handle. Re-routing timelines: product mismatch, reassign within 2 hours; language mismatch, reassign within 4 hours; rep at capacity, re-route immediately to the next-best-matched teammate.
Of region, product and company size, which dimension has the highest priority?
Region 40%, product 35%, size 25%. Region comes first because language and time zone are hard constraints. Assign a Japanese buyer’s lead to a rep who doesn’t speak Japanese and is 8 time zones away, and the reply lands the next afternoon. Product comes next, because failing to answer a technical question hurts more than replying slowly. Size comes last, mainly to keep big accounts from being misassigned to new reps. Score all three dimensions with weights, then pick the rep with the highest combined score.
Should low-intent leads also go to reps?
No. D-grade leads (score under 40) don’t go straight to reps. They enter a marketing automation nurture sequence and get warmed up slowly with email and content. Hand them to a rep and they won’t follow up anyway, which just wastes the rep’s time. Once a D-grade lead warms up to C-grade or above through nurturing, it enters the sales assignment pool. That way reps spend time only on leads worth their time, and marketing handles low-quality leads centrally.

Final thoughts

Inquiry routing sounds like an internal management issue, but it directly determines your inquiry conversion rate. Take the same 100 inquiries: routed to the right people, they might close 20 deals; routed to the wrong people, maybe 5. The gap isn’t sales skill, it’s routing logic. Most teams don’t have a sales problem, they have a problem getting inquiries to the right hands.

Three steps to implement: first, define routing rules across region, product, and deal size, weighted 40/35/25; then set load caps, 15 for senior reps and 8 to 10 for junior reps, and pause routing once exceeded; finally, tier your routing SLA by score, A-tier auto-routed in 5 minutes, B-tier in 1 hour, C-tier same day. Run this for a quarter, then use conversion data to recalibrate the weights and caps.

One line worth remembering: inquiry routing isn’t “whoever’s free gets it,” it’s “whoever’s the best fit gets it”—even distribution looks fair, but it’s actually the biggest penalty for your high-converting reps.

Li Yaochao
Li Yaochao Crater experts

Founder · Head of Growth · Former Alibaba Team · Focused on Global Growth

Founder & Head of Growth at Crater. Formerly with Alibaba, I specialize in helping Chinese companies expand overseas through independent site development, Google SEO, and GEO (Generative Engine Optimization). I've led multiple foreign trade sites and DTC brands from zero to one, and I closely follow how large language models like ChatGPT and Gemini are reshaping overseas customer acquisition.

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