A sales pipeline that hides nothing
Requests, quotes, negotiations, awards, declines — as one connected funnel with win rate, response time and market position. Sales becomes data-driven, not gut-driven.
Sales pipeline
Q3 / 2026 · Wellpapp Müller GmbH
What sales usually doesn't know
Classically, the sales lead of a packaging manufacturer sees only part of the picture: the awarded orders in the ERP. What happened before — how many requests came in, how many turned into quotes, how many were lost in negotiation — sits scattered across mailboxes, personal Excel sheets, and individual sales staff memories.
Result: strategic decisions run on gut feel. "We win a lot on folding-carton requests" — but how much exactly? "Film is highly competitive" — but what's the actual win rate? Which machine is critically loaded? Answers exist only as estimates.
Sales transparency on PAXLY turns the sales process into analyzable data: pipeline funnel, win-rate clusters, response-time correlations, market-index comparison. Sales leadership becomes data-driven — and problems become visible before they show up in the quarterly result.
Five analyses that are missing today
Pipeline funnel
Incoming requests → quoted → in negotiation → award/decline. You see bottlenecks and loss points, not just end results.
Win-rate analysis
Per material, per customer group, per order size — where do you win above average, where structurally less? Sales strategy becomes data-driven.
Loss-reason tracking
Why didn't we win? Price, lead time, spec, capacity — when buyers share the reason, it flows in structured. Learning, not gut feel.
Market positioning
How does your average quote sit against the PAXLY market index? Above/below, per material? Pricing strategy informed.
Response time & conversion
How fast do you reply? Correlated with win rate? PAXLY shows it clearly — and tells you where speed actually pays.
What sales transparency makes possible
Six things that structurally don't happen without it.
KPI dashboard for sales
Requests, quotes, awards, win rate, response time, average deal size — all metrics live, not in a quarterly Excel.
Increase win rate
Spot patterns: which request types you win often, which rarely. Sales focus on what works.
Understand market position
Index comparison of your quotes vs market. Above market? High margin, volume risk. Below? Volume, margin risk. Data, not gut feel.
Historical depth
Trends over quarters and years — not snapshots. Seasonality, market cycles, your own performance trajectory.
Customer segmentation
Which customer groups are profitable, which are cost-intensive? New large customers that could become similarly profitable?
Faster sales decisions
Which requests to prioritize? Which market to expand? Which machine to load up? Data basis for strategic decisions.
Frequently asked questions about sales transparency
What does sales transparency mean for a packaging manufacturer?
It means typically scattered sales data points (incoming requests, quote status, negotiations, awards, declines with reason) flow into one continuous view — and become analyzable. Instead of a monthly Excel summary you see the sales pipeline live and can react to data.
Which sales KPIs should I track?
Mandatory: incoming request volume + quality, quote rate (% of requests you respond to), win rate (% of quotes that lead to awards), response time, average deal size. Optional but valuable: loss reasons, market-index gap of your quotes, repeat rate with existing customers.
How does win-rate analysis help concretely?
It shows structural patterns: maybe you win 35% on folding-carton requests but only 8% on film — meaning film sales doesn't make sense without strategic correction. Or: win rate on orders above €50k is significantly higher — focus sales energy on bigger requests. Data replaces gut feel in prioritization.
What can I do with the market-index comparison?
If your quotes average 7% above the market index, that's a clear signal: either deliberately premium (with high loss risk under price competition), or unintentionally more expensive than necessary. Pricing strategy becomes informed — you know where you sit competitively, not relying on anecdotes.
How is this different from my ERP reporting?
ERP reporting usually shows only orders — what was accepted. The loss side (declined quotes, missing requests, loss reasons) is invisible. Sales transparency on PAXLY shows the full funnel including where business is lost — exactly the most valuable information for strategic decisions.
Is the market data anonymized?
Yes. You see your own data concretely and market references aggregated and anonymized — never specific competitor data or buyer identities outside your own business relationships. Privacy and competition compliance are built in.
More features
Tender Access
Qualified requests straight to your inbox. No cold outreach.
Quote Tool
Structured quotes in minutes with live status tracking.
Product Data Profile
Complete profiles get more matching requests.
PPWR Reporting
Compliance reporting for manufacturers — completeness declaration, packaging register.
Ready for the next step?
No sales pitch. We analyze your situation and honestly tell you if PAXLY makes sense for you.
Or write to us: [email protected]