Product portfolio: assigning an economic role to every offer.

SUPPORTED DECISIONKeep an offer only if its role is distinct, its portfolio contribution is positive, and its overlap with the other offers is measured and accepted.

Key distinctions

Three conditions before calculating.

01

Role rather than presence

Each offer must explain the function no other fills as well: recruit, convert, increase value, retain, defend or organise a migration. A reference without a distinct role consumes inventory, support and attention without proving its portfolio value.

02

Measured overlap

Two offers can share a segment if they answer distinct uses, prices or channels. Overlap becomes a problem when the same demand, the same promise and the same costs are duplicated without demonstrable incremental contribution.

03

A life-cycle rule

Maintain, invest, migrate and withdraw each require a dated threshold. A legacy offer is not kept out of inertia: its defensive or transitional role must be explicit, capped and reviewed.

Method

Arbitrating the portfolio before analysing an isolated extension

  1. 01Map the roles

    For each offer, name segment, use, journey stage, price, channel, contribution and expected role; flag the roles without an offer and the offers without a role.

  2. 02Measure the portfolio value

    Compare direct contribution with acquisition, upgrade, retention, complexity cost and transferred margin, keeping observed, estimated and unavailable effects separate.

  3. 03Test the overlaps

    Measure substitutions, service duplication, price confusion and competition between channels; the page dedicated to cannibalisation provides the detailed calculation when transfers become the main question.

  4. 04Decide the life cycle

    Give each offer an action, an owner, a threshold and a date — invest, maintain, migrate, merge or withdraw — and simulate the portfolio after the action, not only the offer's own profit and loss.

ORIGINAL ASSET

The map of roles and life-cycle rules

Four offers are each linked to a role, an economic indicator and a rule to keep, migrate or withdraw.

CURRENT PORTFOLIO4 active offers1 economic role per offer
01Essential · acquisition600 new customersInvest
02Core · profitability4,200 customersMaintain
03Premium · upgrade18% migrationTest
04Legacy · transition2,000 customersMigrate
05Legacy / Core overlap70% migratableReduce
DECISION ON THE LEGACY OFFERGradual migration+€7,000 simulated after cost
CSVDownload the portfolio role map↓
ILLUSTRATIVE EXAMPLE · SIMULATED DATA

The gradual withdrawal of an offer without a distinct role creates €7,000

01 · SITUATION

A Legacy offer serves 2,000 customers and produces €90,000 of contribution. Its use and its segment now overlap the Core offer. A simulated migration transfers 70% of the customers to Core at €65 of contribution, temporarily keeps 20% on Legacy at €45 and expects 10% attrition. The migration costs €12,000.

02 · CALCULATION

Contribution after the decision: 1,400 × €65 + 400 × €45 = €109,000. Net incremental contribution: 109,000 − 90,000 − 12,000 = €7,000. The calculation keeps attrition visible instead of assuming a complete migration.

03 · DECISION

Legacy moves to migration status rather than maintenance. Full withdrawal remains conditional on service stability and on the attrition rate observed after the first wave.

Acceptance conditions

What must be true to act.

  1. 01

    Each offer has a distinct role and an indicator of contribution to the portfolio.

  2. 02

    Overlaps of segment, use, price and channel are measured.

  3. 03

    Complexity, service and migration costs are included.

  4. 04

    Maintain, invest, migrate or withdraw each have a threshold and a review date.

Limits

What this analysis does not prove.

  • Declared origins often understate real substitutions.
  • Competitive reaction can change the sources after launch.
  • Loyalty and reputation effects require a longer window.

References

Works cited.

  1. Cooper, R. G., Edgett, S. J. & Kleinschmidt, E. J. (2001), Portfolio Management for New Products.
  2. Kester, L., Griffin, A., Hultink, E. J. & Lauche, K. (2011), “Exploring Portfolio Decision-Making Processes”, Journal of Product Innovation Management, 28(5), 641–661.
  3. Van Heerde, H. J., Srinivasan, S. & Dekimpe, M. G. (2010), “Estimating Cannibalization Rates for Pioneering Innovations”, Marketing Science, 29(6), 1024–1039.