Most sales funnel examples online are a pretty graphic and no operational detail. This page gives you the stages, the exit criteria, the conversion math, the content pack per stage, the SLA for each handoff, and the CRM configuration that makes the funnel run on real pipeline. Copy the funnel, build it in Strkr, and have working pipeline stages in an afternoon.
Teams searching "example sales funnel" are usually one of three roles: a founder who has never built a sales motion before and needs a reference model, a RevOps lead at a growing startup who is codifying what the sales team is doing informally, or a sales leader who inherited a messy pipeline and needs to redesign stages. The problem across all three is that every "example sales funnel" article online stops at the graphic. Nobody tells you the exit criteria for each stage, the conversion math between stages, or the operational cadence that keeps the funnel moving. The six dynamics below are the ones that separate a worked example from a motivational image.
A funnel diagram says awareness, interest, consideration, intent, evaluation, purchase. Six boxes. No one tells you what has to be true to move from one box to the next. Without exit criteria, every rep applies their own interpretation and the stage data is useless for forecasting. Exit criteria are the only thing that makes the funnel operational.
A healthy funnel has a conversion rate between each pair of stages. If 100 leads enter awareness and 2 land as closed-won revenue, you need to know where the 98 are falling out. Without stage-level conversion data, every forecast is a vibe check. The example funnel has to come with target conversion rates so the sales leader can diagnose the gap when the ratio diverges.
Awareness-stage content is educational (what is X, how does X work). Consideration-stage content is comparative (X vs Y, buyer's guide). Evaluation-stage content is specific (case studies, ROI calculator, security pack). Teams build a pile of content without mapping it to stages and the field asks for a resource at the right moment and finds nothing that fits.
A lead that fills a form on Tuesday gets qualified by the SDR team on Thursday and lands with the AE the following Monday. By the time the AE picks up the phone, the attention is gone. The handoff SLAs between marketing, SDR, and AE have to be documented, instrumented, and enforced. Most funnel examples never mention this.
Three months after the funnel launches, 40 percent of the pipeline is in stages where nothing has happened in 30 days. Deals accumulate in late stages because reps are optimistic. Deals rot in early stages because nobody disqualified them. Without a pipeline hygiene cadence, the funnel data decays into noise.
A beautifully designed funnel in a slide deck is worthless if the CRM cannot enforce exit criteria, cannot calculate stage conversion, cannot route by SLA, and cannot report on funnel health. The example funnel has to come with the CRM configuration that makes it operational, not just the diagram.
This is a B2B SaaS funnel for a 10,000-to-50,000-dollar ACV motion. The numbers vary by segment, but the structure holds across most mid-market SaaS, services, and tech-enabled businesses. Copy it, adapt it, and you have a working funnel in a weekend.
Entry: A visitor to the site reads a piece of content or watches a webinar. Exit criteria: Email captured and marketable (unsubscribe status clean, email domain not blocklisted, enrichment confirms a real company). Target conversion to next stage: 10 to 15 percent of marketable leads progress to interest within 30 days. Owner: Marketing. Content: educational blog posts, webinars, podcasts, SEO landing pages. SLA: Enrichment runs within 60 seconds of form fill.
Entry: Prospect returns to the site, opens a second email, downloads a second asset, or responds to outreach. Exit criteria: Lead score crosses 50 (behavior) and company fits ICP (firmographic). Target conversion: 25 to 35 percent of interest-stage leads progress to consideration. Owner: Marketing hands off to SDR at exit. Content: product-category content (what to look for in X, buyer's guide). SLA: SDR acknowledges handoff within 24 business hours.
Entry: SDR connects, qualifies BANT or MEDDPICC baseline, and books a discovery call. Exit criteria: Discovery call completed with the AE, pain validated, timeline confirmed within 90 days, budget range known. Target conversion: 40 to 50 percent of consideration deals progress to intent. Owner: SDR hands off to AE at discovery call. Content: comparison guide, product overview, discovery notes template. SLA: SDR books discovery within 5 business days of handoff.
Entry: AE opens an opportunity. Exit criteria: MEDDPICC core fields populated (Metrics, Economic Buyer, Decision Criteria, Decision Process), Champion identified, demo scheduled. Target conversion: 55 to 65 percent of intent deals progress to evaluation. Owner: AE. Content: tailored demo scripts, security pack, reference customer stories. SLA: Demo delivered within 10 business days of intent-stage entry.
Entry: Prospect enters evaluation (POC, trial, or pilot). Exit criteria: Success criteria defined with Champion, Economic Buyer briefed, procurement pathway known, timeline to decision confirmed. Target conversion: 60 to 70 percent of evaluation deals progress to purchase. Owner: AE with Sales Engineer support. Content: ROI calculator, business case template, implementation plan. SLA: Weekly evaluation checkpoint logged.
Entry: Verbal commit from Economic Buyer. Exit criteria: Order form or MSA signed, deposit or first payment received, kickoff scheduled. Target conversion: 85 to 95 percent of purchase-stage deals close won. Owner: AE with Legal and Finance support. Content: order form, MSA, legal red-line pack. SLA: Signature cycle under 15 business days from verbal commit.
Every stage transition is a handoff between functions. The funnel breaks at the handoff, not at the stage. Instrumenting the handoffs is the single highest-impact operational change for a growing sales motion.
The form-fill event triggers enrichment, lead scoring, and territory routing within 60 seconds. The assigned SDR receives the lead with an SLA to acknowledge within 24 business hours. The SDR's first-touch SLA is tracked on the lead record. The SDR who answered in the first hour closes at 3x the rate of the SDR who answered in the first day.
When the SDR books the discovery call, a structured brief hands to the AE: company context, pain validation, timeline, budget, decision process known so far, and Champion candidate. The AE walks into the discovery call with context. The discovery call closes an exit criterion rather than restarting the qualification.
When the deal enters intent, the SE assignment fires automatically. The SE prep brief captures the technical criteria, integration requirements, and the demo flow the Champion asked for. The SE arrives in the demo with context rather than running a canned script.
When the deal enters purchase, the Legal team is pre-briefed with the order form, the Champion's likely red-lines (based on segment and company size), and the escalation path for the two or three terms that always need VP sign-off. Legal cycle time compresses because the first-draft work is already done.
When the deal reaches verbal commit, the CS assignment fires. The CS manager joins the kickoff call that was scheduled in parallel with the signature cycle. The implementation starts on day one of the contract rather than two weeks later when the handoff finally finds a slot in the CS calendar.
Deals in a stage for longer than the stage target age get flagged for review. The AE either advances the stage with evidence, closes the deal lost with a reason code, or asks for a one-time exception. Pipeline hygiene becomes a weekly 15-minute review rather than a quarterly cleanup project. Forecast accuracy climbs because the pipeline is actually clean.
Every stage has a prospect question the content has to answer. The content pack below is the baseline for a B2B SaaS funnel; adapt the specifics to your motion.
Blog posts and webinars that answer "what is X" and "how does X work". The ask is email capture through a soft CTA (download the guide, join the webinar). The content never sells; it educates. Investment: 1 to 2 pillar pieces per month per topic cluster. Measurement: organic traffic, email captures.
The prospect is now category-aware and needs to understand what to look for. Buyer's guides, comparison matrices, and "how to evaluate X" content fit here. The ask is a deeper engagement (webinar attend, demo request). Investment: 1 pillar per quarter per topic. Measurement: nurture email open and click, demo requests.
The prospect is in the discovery call and needs context on your product and your category position. Product one-pagers, category positioning slides, and the SDR qualification framework fit here. Investment: 3 or 4 evergreen assets, refreshed quarterly. Measurement: discovery call bookings, SDR-to-AE handoff quality.
The AE needs to run a demo tailored to the Champion's use case, send the security pack to IT, and share two reference customer stories matched to segment and use case. Investment: a modular demo library and a quarterly reference refresh. Measurement: demo-to-evaluation conversion.
The Champion needs to build an internal business case. An ROI calculator with inputs tailored to the Champion's business and a business case template that the Champion can edit and send up are what move the deal. Investment: one well-built calculator, maintained quarterly. Measurement: evaluation-to-purchase conversion, average deal size.
The deal is closing and the artifacts need to be clean. Standard order form, MSA, data processing addendum, SOC 2 report, HIPAA BAA if applicable, and a legal red-line pack showing the two or three terms you will negotiate. Investment: Legal review quarterly. Measurement: signature cycle time.
The funnel is only as good as the system that runs it. Strkr implements this example in a day with pipeline stages, exit criteria enforcement, conversion reports, and the content pack surfaced on the deal.
Build the six stages in Strkr's pipeline builder. Attach required fields and exit criteria to each. The AE cannot move a deal to Intent without a Champion identified. The AE cannot move to Evaluation without MEDDPICC core fields populated. The system enforces hygiene instead of relying on the AE.
A native dashboard shows the conversion rate between each pair of stages, by rep, by segment, and by time period. The sales leader sees the stage where the funnel is leaking and intervenes with coaching, process, or a content refresh.
Each handoff has an SLA. The form-fill-to-SDR acknowledgment, the SDR-to-AE discovery, the AE-to-SE demo, the AE-to-Legal order form. SLA breaches surface on a dashboard with the owner tagged. Operations fixes the handoff that is slowing the funnel.
The content pack per stage is attached to the pipeline stage definition. The AE opening an evaluation-stage deal sees the ROI calculator and the business case template in the content panel of the deal. No tab-switching to find the right asset.
The routing rules apply at form fill. Territory first, then segment, then round-robin for workload balance. The right SDR or AE sees the lead within 60 seconds. The AE whose segment specialty matches the prospect takes the deal rather than the next-up round-robin AE who has to escalate for domain knowledge.
With stage conversion rates and stage weights calibrated against the prior four quarters, Strkr produces a weighted forecast that the CRO can defend. The forecast adjusts in real time as deals move stage, close won, or close lost. The quarterly surprise disappears because the funnel data is actually running the forecast.
The typical implementation of a sales funnel example is a whiteboard diagram, a Salesforce or HubSpot pipeline with stages but no exit criteria, and a spreadsheet where ops tracks conversion manually. The funnel exists on paper and does not run in practice.
| Feature | Strkr | Whiteboard funnel plus generic CRM |
|---|---|---|
| Stage exit criteria | Enforced required fields at each stage transition | Documented in a Notion doc nobody reads |
| Conversion math | Live dashboard stage-to-stage | Spreadsheet pulled by ops monthly |
| Content attachment | Content pack surfaces on the stage | Content lives in Highspot or Google Drive |
| Handoff SLAs | Instrumented and reported | Documented in a playbook nobody enforces |
| Pipeline hygiene | Automatic age flags with disqualification SLA | Quarterly cleanup project |
| Forecast rollup | Weighted forecast from live stage data | Gut-feel commit from each manager |
| Implementation time | Full funnel operational in a day | Multi-week admin configuration project |
| Reporting | Native stage-level analytics | BI tool required for cross-stage views |
| Role-based views | SDR, AE, Manager, CRO views out of the box | Admin builds every view manually |
| Pricing | Flat per seat with full stack on every tier | CRM plus marketing automation plus BI, three licenses |
The patterns below are the ones we see most often from teams that start with an example funnel and adapt it for their motion.
A founder running early sales adopts the six-stage funnel with target conversion rates and uses the stage conversion dashboard as the primary diagnostic. The exit criteria at each stage force the founder to be rigorous about qualification. First 10 customers close with 60 percent higher ACV than the pre-funnel baseline because the founder stopped chasing deals that had no Economic Buyer.
A SaaS startup scaling from 2 to 10 SDRs needs consistent handoff quality from SDR to AE. Implementing the structured discovery brief as a required handoff artifact lifted AE acceptance rate on SDR-handed deals from 55 percent to 88 percent in a quarter. The new SDRs ramp faster because the discovery brief is a scripted artifact rather than a judgment call.
A mid-market SaaS team mandated MEDDPICC in Q1 and saw adoption drift by Q3. Moving the methodology to stage-gated required fields at the Intent and Evaluation transitions pushed completion to 92 percent in a quarter. Forecast accuracy improved by 14 points.
A consulting firm adapted the six-stage funnel: Awareness became "first conversation", Interest became "scoping call", Consideration became "proposal in flight", and so on. The stage definitions and exit criteria mapped cleanly. The firm cut proposal cycle time by 40 percent because the stage enforcement made the scoping conversation more rigorous.
A B2B marketplace runs two separate pipelines, one for supply-side onboarding and one for demand-side onboarding, each using the six-stage framework adapted to that side. The ops team sees supply and demand conversion separately and plans growth investment against the leaking side.
Start a 14-day trial with the example funnel pre-configured. Attach your content pack, set your SLAs, and have operational pipeline inside a day.
Yes, and it typically takes a half-day to configure. The six pipeline stages, the exit criteria as required fields, the content attachments per stage, and the SLA tracking are all native. Strkr includes a template library with this exact example funnel as a starting point, so you can clone it and adapt the specifics rather than building from scratch. Most teams go from zero to a running funnel in a single afternoon, with a second half-day the following week to adjust stage definitions based on what the sales team actually observes.
Start with the ranges in the worked example (awareness-to-interest 10 to 15 percent, consideration-to-intent 40 to 50 percent, etc.) and let your actual data override them after one full quarter. Early-stage motions often sit at the low end of each range because the ICP is still being refined. Mature motions in a well-defined segment sit at the high end. The important thing is that the ranges give you a baseline to diagnose against. If your consideration-to-intent is 15 percent against a 40 to 50 percent target, you have a qualification problem to solve, not a bad month.
The stage structure holds regardless of cycle length. For enterprise motions with 9-to-18-month cycles, the Evaluation and Purchase stages typically expand into sub-stages (Technical Validation, Business Case, Procurement, Legal, Final Approval). Strkr supports stage hierarchies so you can nest sub-stages under the top-level six without breaking the conversion dashboard. The exit criteria get more detailed, and the stage age targets get longer, but the framework stays intact.
Exit criteria are enforced at stage transitions, not on every record touch. The AE can save and work the opportunity without filling the fields earlier, but they cannot advance the stage. This split keeps the enforcement predictable and ties it to progression the AE actually wants. The field feedback stays constructive because the enforcement serves the AE (clear forecast, clean handoffs, less rework) rather than punishing them for data hygiene.
The conversion dashboard shows stage-to-stage ratios by rep, segment, and time period. If the consideration-to-intent ratio is below target, you have a qualification or discovery problem. If the intent-to-evaluation ratio is low, you have a demo quality problem. If the evaluation-to-purchase ratio is low, you have a business-case or procurement problem. The dashboard tells you where to coach, where to invest in content, and where to adjust process, rather than guessing.
Yes. The post-sale lifecycle sits on a separate pipeline tied to the account. Typical post-sale stages are Onboarding, Adoption, Expansion, Renewal, and Advocacy, each with its own exit criteria and target metrics. Strkr runs both pre-sale and post-sale pipelines on the same account record so the handoff from AE to CS is clean and the renewal AE sees the full history including the original stage conversion data.
Implementing the stages without enforcing the exit criteria. The diagram goes on the wall, the stages go into the CRM, and six months later the data is useless because every rep has their own interpretation of what each stage means. Enforcement at stage transitions is the only change that compounds. Without it, the funnel is a visualization; with it, the funnel is an operating system. The second-biggest mistake is not instrumenting the handoff SLAs between marketing, SDR, and AE, which is where most funnels silently leak days of cycle time.
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