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Sales Pipeline.

A sales pipeline is an overview of all open sales opportunities in a business, arranged by stage from the first conversation to the close. It shows how many deals sit in each phase, what they are worth and where they get stuck.

Illustration of "Sales Pipeline": Process in 5 steps: First call → Need clarified → Quote → Negotiation → Won First call6 deals01Need clarified402QuoteCHF 48,00003Negotiation204Won105

Sales Pipeline — Explained in Detail

Every business that writes quotes has a pipeline, even if it only exists in the managing director's head. It means every deal that has started but not yet been decided. A managed sales pipeline makes this list visible and assigns each opportunity to a stage, for example first meeting, need clarified, quote sent, negotiation, won or lost. In a CRM this typically appears as columns through which cards move from left to right.

The pipeline should be distinguished from the marketing funnel. The funnel describes how many people get from first awareness to an enquiry and counts visitors, clicks and forms. The pipeline starts after that: it only contains contacts that sales has accepted as a real opportunity, in other words sales qualified leads. The funnel is about volumes and rates; the pipeline is about individual deals with an amount, an owner and a next step.

Three things can be read from a pipeline. First, its value: the sum of open quotes, often weighted by the probability of each stage. Second, its velocity: how long a deal takes on average to move from stage to stage. Third, its bottlenecks: stages where cards pile up, such as many quotes without a response. A handful of KPIs, such as number of opportunities, win rate and average order value, turn this into a revenue forecast.

A pipeline is only as good as its upkeep. The most common faults are stages that everyone interprets differently, deals without a next step and dead entries that have been 'open' for months. Clear entry criteria for each stage help, for instance using BANT for qualification, as do a date for the next step on every opportunity and a fixed point at which lost deals are actually marked as lost, with a reason. What sales needs at each stage is the subject of sales enablement.

Defining pipeline stages

Good stages describe what has happened on the customer's side, not what sales has done. 'Quote sent' is an activity; 'customer has received the quote and asked a question' is progress. Four to six stages are enough for most small businesses. Each needs an entry criterion that can be answered with yes or no.

Whether an off-the-shelf CRM or a custom solution fits better depends on how far your processes differ from the standard. A decision aid is available at CRM: buy or build; the custom route is described on custom CRM development.

Example: a kitchen fitter in Aargau

A constructed example: a kitchen fitter with eight staff runs its pipeline in five stages: enquiry reviewed, on-site measurement, design presented, quote finalised, order signed. Every opportunity has an amount and a date for the next contact. Once a week the owner goes through the list with the sales adviser.

It turns out that many deals stall after the design presentation. Instead of buying more enquiries, the firm changes that step: the design is handed over together with a finalised quote, followed a week later by a scheduled call-back. The pipeline revealed the bottleneck; the fix lay in the process.

Related Page

CRM: buy or build

Frequently Asked Questions About Sales Pipeline

The funnel counts people on their way to an enquiry: visitors, prospects and leads. The pipeline then contains only the opportunities that sales has accepted, each with an amount, a stage and a next step. The funnel measures rates; the pipeline manages individual deals.

For most small businesses, four to six. Fewer stages hide bottlenecks; more stages stop being maintained properly. What matters is that each stage has a clear entry criterion.

Most simply as the sum of all open deals. The weighted value is more meaningful: each amount is multiplied by the probability with which deals from that stage are usually won. Those probabilities should come from your own data, not from generic benchmarks.

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