Point 1
Orders are 104 days late against a usual 8.11-day rhythm, worth £15,720.85 a month.
“I noticed we haven't had an order from you in 104 days, when you'd normally be ordering every 8 days or so, so I wanted to check in.”
Long Lever Intelligence 360·Demonstration only: all companies, people and figures are fictionalNo real business data is used. Any resemblance to a real business is coincidental.
Back to Long Lever PartnershipsCall briefing · VC-1350 · Scotland
Aberdeen · Claire Ingram · prepared 9 November
Company AY is a two-branch trade installer in Aberdeen, Scotland, an account since 21 July 2017, with Claire Ingram as procurement lead. On a rolling 12 months the account has spent £188,650.14 against £342,672.93 in the prior year, a fall of 44.95%. Their usual rhythm is 3.75 orders a month with a typical gap of 8.11 days between orders, but no order has been placed for 104 days. Credit standing is good, with 74.13% of a £44,000 limit in use.
Searches, quotes and baskets that never reach the ERP.
Spend on Brackets and mounts is £32.05 against a peer median of £2,970.16 for accounts of this size, a gap of £2,938.11. This sits alongside Cameras, a family they already buy, suggesting the brackets are being sourced elsewhere.
Offer: Offer a Brackets and mounts and Cameras bundle, led by Brand 27 Camera Mounting Bracket, attached to the Cameras they already buy.
Point 1
Orders are 104 days late against a usual 8.11-day rhythm, worth £15,720.85 a month.
“I noticed we haven't had an order from you in 104 days, when you'd normally be ordering every 8 days or so, so I wanted to check in.”
Point 2
Open quote VC-Q4260 for £1,851.98 has not yet converted.
“You've still got an open quote for the 16 channel NVR recorders worth £1,851.98, shall we get that moving?”
Point 3
Brackets and mounts spend is £32.05 against a peer median of £2,970.16, a gap of £2,938.11.
“I noticed you're buying cameras from us but hardly any mounting brackets, would it help to bundle those together?”
Watch out
Sixteen support enquiries in the last 90 days, alongside no order for 104 days, point to a service issue as the likely cause of the lapse, which is inference rather than confirmed fact.
Written from the account’s order history, product mix, trade-site activity and action log. Every figure was calculated by the platform before it was written up. Fictional demonstration data.