``Why couldn't I get an order?'' ``Where did negotiations stop?'' Sales organizations that cannot answer these questions operate based on their senses and memories. If you design your HubSpot pipeline correctly,Sales process becomes data. Bottlenecks are identified, predictions are made, and improvements begin. This chapter explains all the techniques for pipeline design that follow the flow of actual business negotiations.
The default pipeline stages provided by HubSpot (Appointment Scheduled → Qualified to Buy → Presentation Scheduled…) are universally designed to accommodate any type of business. If left as is, there will be a misalignment with your company's sales process.Pipeline is defined in terms of ``the progress of decision-making on the buyer side'' rather than ``the progress of work on the seller side''This is the best practice as of 2026.
| Buyer's perspective (recommended) | Seller's perspective (not recommended) | |
|---|---|---|
| Example of stage name | “Identification of issues completed” “Budget and authority confirmed” “Under comparison” | "I made the first call" "I sent the proposal" "I'm planning to close" |
| what does it represent | Evidence that the buyer “has shown an intention to take the next step” | Activity record showing that the sales person “took this action” |
| Impact on forecasts | Highly accurate predictions as they are based on buyer behavior | Even “I sent a proposal but there was no response” can lead to a high stage. |
| Use for coaching | It becomes clear why you are not progressing to the next stage. | We tend to manage the “number of actions” and cannot see the quality of the negotiations. |
By defining the stage from the buyer's perspective,Just look at HubSpot's pipeline and you'll know why this deal is stuck here.It becomes like this. Weekly pipeline reviews allow managers to provide accurate coaching using data rather than intuition.
If there are too few stages (less than 3), the forecast becomes coarse-grained. If there are too many (8 or more), salespeople will feel like they don't know where to put them, and the input rate will drop.Stages 5 to 7 are the easiest to operate and can achieve highly accurate forecasts.. However, this is just a guideline. 8 to 9 is fine for businesses with complex purchasing processes. What is important is that the boundaries between stages are clear.
It is not enough to create pipeline stages by name only.Be sure to set three things for each stage: "Entry Criteria", "Win Probability", and "Maximum Stay Period (Days in Stage)". This becomes the basis for checking forecast accuracy and deal health.
The stage before the initial appointment is confirmed and the hearing is conducted. Now is the time to create a deal.
At this stage, the issues, budget, and decision-making process have been clarified through interviews. MEDDIC/BANT information is available.
A stage where a solution proposal or demonstration has been implemented and the buyer has determined that it is "worth considering."
Comparison phase with competitors. Decision makers are involved and discussions about ROI and implementation plans have begun.
The quotation and contract have been sent, and the negotiation of conditions and legal review are in progress. Closing is just around the corner.
A state in which the buyer cancels the purchase, postpones the purchase, or chooses to compete.It is necessary to record the reason for the loss of order.. This will serve as input for the next improvement cycle.
HubSpot's default accuracy settings (20%, 40%, 60%, 80%, 90%) are based on the ``average B2B company.''Review accuracy quarterly based on your company's performance dataThis greatly improves forecast accuracy. Settings can be changed from "Settings → Object → Opportunity → Pipeline → Edit each stage".
Once you have decided on the “approximate length of stay” for each stage,Workflow to send automatic alerts for deals that exceed that periodLet's set it. For example, if a deal has been in the comparison stage for more than 14 days, a Slack notification will be sent to the sales representative and their manager. This alone can dramatically reduce salty business negotiations. The setting method is detailed in Chapter 7 (Automation Design).
At HubSpot, Starter and abovemultiple pipelines(up to 50 for Professional). However, "more is not necessarily better."Only when there are different sales processes and different purchasing decision flows, the pipeline should be separated.
Simple new business negotiations for small and medium-sized businesses. Since there are 1-2 decision makers and the negotiation period is short (2-4 weeks), the number of stages is limited. Design with an emphasis on speed.
A complex new deal for a large company. It often involves multiple decision makers, information systems, legal reviews, and proof of concept (PoC), so it is necessary to set the stages in detail.
For contract renewals only for existing customers. The purchasing process is completely different from that for new acquisitions (CS takes the lead and existing satisfaction is the criterion), so be sure to use a separate pipeline. Powerful when combined with a workflow that automatically creates 90 days before the renewal date.
Only for additional proposals to existing customers. Because there is already a relationship of trust, the negotiation cycle is short and the approval process is different. Mixing it with your new customer acquisition pipeline will make your analysis inaccurate.
We often hear requests such as ``I want to separate the pipeline by person in charge'' or ``I want to separate it by product line.''Basically no good. If you divide the pipeline too much, the report will become fragmented and you won't be able to see the "total pipeline for the entire company." The correct design is to manage the distinction between people in charge using properties (HubSpot Owner), filters, and teams, and to manage the distinction between products using opportunity properties.
The properties recorded in business negotiation records can be divided into two types: those used for forecasting and those used for analysis and improvement. especiallyReasons for losing orders, competitive information, and reasons for closing are the source data for strategy improvement.Therefore, it is important to create a system that requires input and continuously accumulates data.
Once you've designed your pipeline, you need to get into the habit of periodically performing ``sanity checks.''Three indicators: pipeline coverage, stage conversion rate, and deal velocityBy checking on a weekly/monthly basis, you can take early action before the problem becomes a big problem.
🔍 Manual mergeWhat do business negotiations that have stalled at the comparative consideration stage have in common?"is. No decision maker? Insufficient competitive information? Not showing ROI? ——Use HubSpot's filter function to extract "deals that have been in the comparison stage for 14 days or more" and use them as a coaching agenda.
| Check items | How to check (HubSpot) | Corrective action |
|---|---|---|
| Number of new opportunities added | Dashboard “Number of Opportunities Created This Week” Report | If the target is not achieved, instruct to strengthen prospecting activities |
| Opportunities without stage movement | Sort by “Last activity date” and extract items for 7 days or more | Interview the person in charge about the reason for the stagnation. make an action plan |
| Opportunities scheduled to close this month | engagement | Check blockers for committed deals and provide closing support |
| The scheduled closing date is in the past. | 📌 Chapter 1 Summary | Check the situation with the person in charge and ask them to update the closing date or process the loss. |
| AI Deal Risk Alert | Check the risk flag in the “Deal Risk” column of the deal list | Check call recordings and emails and implement interventions according to risk details |
Available for Professional and above AI Deal Score learns past business negotiation data and scores the ``probability of winning this business'' from 0 to 100. By combining stage accuracy (subjective accuracy set by the person in charge) and AI Deal Score, it is possible to early detect unbalanced deals where the person in charge is bullish but the AI has a low score. Concentrating time on these discrepancies during weekly reviews is a shortcut to improving forecast accuracy.
Strengths
Discover correlations that humans are unaware of; accuracy improves as more data accumulates
Automatically link companies with domains
Set the reason for loss of order, competitor name, and reason for order acceptance as required properties, and aggregate and analyze them every quarter. This will be the biggest input for strategy improvement.
Check the coverage ratio (3 to 5 times), stage conversion rate, and negotiation speed on the weekly dashboard. The greatest risk management is to notice deterioration in numbers early.
Pay attention to deals where there is a discrepancy between the subjective accuracy of the person in charge and the AI Deal Score. Negotiations where the person in charge has high accuracy and the AI has a low score are the ones where managers should prioritize intervention.