Activity is not incrementality
Opens, enrollments, points earned, and redemptions show engagement—not purchases caused by the platform or program.
ACCOUNT RESEARCH FOR MARTECH AND CUSTOMER-LOYALTY PLATFORMS SELLERS
For martech and loyalty-platform sellers: find buyers who can separate engagement from incremental purchases. Build the case on attributable contribution after rewards and costs—not a busy dashboard.
The accounts. The business case. The next move.
Attribution-sensitive: a repeat purchase or redemption is not necessarily incremental. Verify the counterfactual, attribution window, identity resolution, and contribution after discounts, rewards, returns, and variable costs; ASBLoyalty metric mapping is unconfirmed.
THE PAIN / NOT ANOTHER GENERIC LIST
Before selling time becomes sunk time, test the obstacles.
Opens, enrollments, points earned, and redemptions show engagement—not purchases caused by the platform or program.
Revenue and average order value can rise while discounts, rewards, returns, and variable costs erase contribution.
Customers may have bought anyway; without a defined window and credible comparison, reported lift is not proven incremental.
WHAT ALMA HUNTER DELIVERS
Define eligible customers, purchase windows, repeat behavior, and cohort rules before comparing results.
Estimate incremental contribution on verified attributable transactions after customer-level discounts, rewards, and variable costs.
Compare modeled buyer benefit with full year-one upfront and ongoing costs, including relevant program expenses.
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 the starting customer cohort retained in a defined period; state the cohort, period, and treatment of new customers.
Track customers purchasing more than once, orders per unique customer, and average order value over a consistent window; none alone proves causal lift.
Estimate cohort contribution over the relationship after variable costs and discounts or rewards; identify assumptions and separate estimates from observed results.
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
Positive year-one model. Validate every assumption.
Illustrative, editable assumptions—not validated results, guarantees or Alma service pricing.
Buyer-side planning illustration only. Gross benefit = volume × contribution per transaction × realization share; net = benefit − upfront − annual ongoing cost; ROI = net ÷ total year-one cost × 100. These fictional USD inputs are placeholders, not benchmarks, expected results, or a forecast. Use incremental contribution—not gross revenue—and count platform/program costs once in year-one cost. Deduct transaction-level discounts, rewards, returns, and other relevant variable costs from contribution; do not count the same cost again. Realization is the share of modeled volume supported by verified attribution evidence, not the probability of project success.
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.
Standard public guidance defines repeat purchase using customers with more than one purchase and distinguishes it from retention; customer lifetime value estimates depend on purchase value, frequency, lifespan, and cost assumptions. Define eligible cohorts, observation windows, attribution rules, and a credible counterfactual before calling transactions incremental. Measure engagement separately. No publicly identifiable ASBLoyalty-specific metric definitions were verified in the reviewed sources; equivalence or mapping to ASBLoyalty is unconfirmed.
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.