Spend leaks hide in plain sight
Fragmented requests, off-contract buying, and duplicate purchases can obscure where purchase costs are actually avoidable.
ACCOUNT RESEARCH FOR PROCUREMENT AND SPEND-MANAGEMENT SOFTWARE SELLERS
Alma Hunter delivers reviewed account/buyer-fit research for procurement and spend-management software sellers. Start with a specific purchase-cost problem and evidence a buyer can verify—not a promised savings rate.
The accounts. The business case. The next move.
THE PAIN / NOT ANOTHER GENERIC LIST
Before selling time becomes sunk time, test the obstacles.
Fragmented requests, off-contract buying, and duplicate purchases can obscure where purchase costs are actually avoidable.
A projected percentage is not proof; buyers need comparable baselines, eligible transactions, and costs counted once.
Implementation, integrations, change effort, and recurring fees can outweigh benefits if year-one costs are incomplete.
WHAT ALMA HUNTER DELIVERS
Tie each claimed opportunity to comparable transactions and verified cost differences—not blanket spend-reduction assumptions.
Map transaction volume, approval paths, and contract coverage so the addressable opportunity has clear boundaries.
Reviewed account/buyer-fit research helps sellers assess relevance before committing resources to an account.
Illustrative qualification, not a researched account. Unknowns stay unknown.
THE KPIs / TRACK, DO NOT PROMISE
Metrics to monitor—not guaranteed lifts, meetings or sales.
Share of sampled transactions with comparable baselines and documented avoidable cost; define numerator and denominator before testing.
Count annual purchases meeting documented category, process, and data-quality rules—not total company spend.
Share of known implementation and recurring cost categories with sourced USD estimates; count each cost once.
THE BUYER’S RETURN FROM YOUR SOLUTION
This models your buyer’s return from your solution—not your revenue from buying leads.
YOUR BUYER’S ROI / FICTIONAL INPUTS
YEAR ONE / USD / MODEL, NOT A FORECAST
Below year-one break-even. Revisit the case—not the arithmetic.
Illustrative, editable assumptions—not validated results, guarantees or Alma service pricing.
Fictional USD defaults are examples, not benchmarks or forecasts. Enter only an evidenced avoidable cost per comparable eligible transaction; do not apply an assumed spend-savings percentage. Realized share is the portion of that documented opportunity expected to be captured, not the probability the project succeeds.
Gross benefit = potential units × economic unit value × realized share.
Full year-one cost = full upfront deployment + annual operating cost. Net = benefit − full cost. Year-one ROI = net ÷ full cost × 100. Each cost is subtracted once.
Simple upfront payback = upfront cost ÷ (annual benefit − annual operating cost) × 12 months, only if annual net benefit is positive. It assumes steady annual realization, not a discounted cash-flow forecast. Year-one break-even units = full year-one cost ÷ realized unit value.
Validate transaction volume and unit cost from buyer records: compare like-for-like item/specification, quantity, terms, and time period against a documented feasible alternative; exclude unsupported or duplicate claims. Buyer deploys the seller's solution. For year one, cost = upfront + annual ongoing (each counted once); gross benefit = volume × unit value × realized share/100; net = benefit − cost; ROI = net/cost × 100. Replace fictional defaults with buyer-validated USD inputs; results are illustrative, not guaranteed.
These sources explain the economic mechanism and measurement—not Alma Hunter performance:
FROM THE FOUNDER / NOT A CUSTOMER TESTIMONIAL
“Finding companies was never the hard part.”
Scott Hawkyard · Founder, Alma Hunter
A buyer needs a supported business case—not another profile match.
THE NEXT MOVE
Tell us what you sell and who buys it. We agree scope, price and delivery before payment. An inquiry does not start research.
Find my buyersInquiries, support or privacy: sales@almahunter.com
Accounts reviewed against your brief.
Unknowns left visible.