One picture instead of scattered reports
Commercial director
Own the funnel end to end — from lead to closed deal — on data rather than on what was said at the standup.
Who it is for
One picture instead of scattered reports
Bring the funnel into one system
The commercial director owns the funnel end to end — from lead to closed deal — yet the data about it usually lives in different people's heads. Aplora assembles that commercial system on data, so decisions come from metrics rather than recollection.
See the handover between stages
Losses rarely happen inside a stage — they happen at the seams: marketing hands over a lead and sales never work it; a deal goes quiet; the next step is never agreed. We make those seams observable instead of inferring them from the final conversion rate after the fact.
Check plan against reality before month end
A report assembled by hand arrives when it is already too late to act. When data about conversations, deals and next steps is collected on its own, the picture updates as it goes, and decisions happen inside the period rather than after it.
Questions the data cannot answer today
- Which funnel transition loses the most, and why that one?
- Which open deals will actually close, and which have already stalled?
- How does the best rep's work differ from the average — in actions, not in personality?
- Which objections go unanswered, and at which stage do they appear?
What stays in your hands
Stays with you
- a single view of the funnel from system data rather than summary spreadsheets
- a breakdown of loss reasons by stage, with example conversations
- the sales methodology written down as checkable criteria
- recurring reporting that assembles itself without manual work
The metrics this moves
- stage-by-stage funnel conversion
- deal cycle length
- share of deals with an agreed next step
- adherence to the sales methodology
What we use for this
Aplora Sales
Turns calls, CRM data, and your own sales methodology into a system that drives management action.
Explore this solutionDocument & Reporting Automation
Cuts the time spent producing documents and reports and moving data between systems.
Explore this solution
Cases
How this looked for others
ManufacturingAplora SalesClient under NDA
The best salesperson's playbook rolled out across a manufacturer's whole sales team
The team's result rested on two people; the rest closed several times less on the same workload. Nobody knew what exactly the leaders did differently: conversations were not reviewed, and the gap was explained away as “experience”.
- Conversion to a sale three months after rollout
- +25%
- Conversion to a sale after six months
- +72%
EdTechAplora SalesWe validated the system inside our own operations first
Conversation review in an admissions funnel: how we validated the system on ourselves
Conversation quality was judged from a few recordings a month. The reasons for a no stayed a hypothesis, commitments were captured from memory, and the CRM was filled in after the fact and only partially.
- Conversion from hot leads
- ×3.3
- Share of calls that went nowhere
- −40 pp
- Share of second contacts
- +30 pp
EdTechAplora SalesWe validated the system inside our own operations first
Lead scoring in the intake funnel: advisors stopped calling everyone in order
Hot and cold leads sat mixed together. An advisor spent the day on people with neither a reason nor an intent, while leads showing clear readiness went cold in the queue.
Read the case
EdTechAplora SalesWe validated the system inside our own operations first
The funnel from lead to purchase in one picture: where the money was actually leaking
Channels were compared on cost per lead rather than on the eventual sale, so a cheap channel looked better than an expensive one even when it brought people who don't buy. Nobody counted the losses between stages: for marketing the funnel ended at the webinar, for sales it began at the call.
- Google versus Facebook lead quality by conversion to sale
- ×3 in Google's favour
- Conversion at four or more touches versus one
- ×4–5
- Potential estimate: sales from the hot-lead pool identified
- +14–22 sales
Marketing and digital agenciesDocument & Reporting AutomationClient under NDA
The first ten days of the month stopped going into client reports
For the first 8–10 days of the month the team assembled reports instead of doing project work. Approvals dragged, payments moved with them, and every new client meant either overtime or a hire.
- Time to prepare a monthly report
- 10 days → 5 minutes
- Projects handled by the same team
- +30%
- Monthly saving on manual work
- ≈$5,000
EdTechDocument & Reporting AutomationClient under NDA
Course materials stopped going stale faster than they could be updated
A new module or an update took weeks. The load on methodologists grew faster than the team, and the product aged between releases: a student would see an example on a library version that no longer exists.
- Speed of releasing and updating material
- ×10
- Share of manual work in content production
- −50%
- Cost of producing content
- −40%
EdTechAplora SalesWe validated the system inside our own operations first
A sales candidate is assessed from a recorded conversation, not from the impression they leave
Hiring decisions were made on the impression the interview left. Interviewers assessed candidates differently, a mistake surfaced a month into the job, and the head of sales spent hours on reviews and arguments about who was better.
Read the case
EdTechAplora SalesClient under NDA
A school's sales team stopped depending on any one advisor's discipline
There was no priority, and strong leads were lost in the queue. Conversation quality was checked on a sample, follow-up depended on whether the advisor remembered, and the manager spent hours listening to recordings instead of working the bottlenecks.
- Progression to a second contact
- +22%
- Overall conversion to a deal
- +5 pp
- Advisor time spent on admin
- −70%