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J·BJon BishopIndependent growth marketer

Pricing and monetization · Empirical study using software-firm data on intertemporal product versions and upgrade pricing.

New Features Free of Charge? Intertemporal Product Versions and Pricing in the Software Market

Kristina Brecko (2023). New Features Free of Charge? Intertemporal Product Versions and Pricing in the Software Market. Marketing Science. https://doi.org/10.1287/mksc.2022.1389.

Marketing Science · 2023DOI: 10.1287/mksc.2022.1389 ↗

Plain-English take

The paper empirically documents how firms decide whether to give new features free or charge for upgrades (the publisher abstract identifies the study as an empirical software-market study). For your marketing: Use the study to frame a pricing or packaging hypothesis and identify outcomes to measure; estimate effects with your own customer mix and willingness-to-pay evidence.

How much weight to give this

2.5/5 Evidence needs cautious interpretation

The 1–5 evidence-check score is a practical reading aid, not a formal peer review or a probability that a conclusion is true. It combines design strength (2 points), sample reporting (1), comparison/control clarity (1), and how much of the paper could be checked (1). Access affects how confidently this directory can assess a study, not the study's underlying quality. Blinding is reported separately because it is not relevant to every design.

Design · 1/2

Empirical study using software-firm data on intertemporal product versions and upgrade pricing.

Sample · 0.5/1

Software industry; firm-level product/version and upgrade-pricing decisions.

Comparison · 0.5/1

Judged from the publisher-described design and comparison; inspect the paper for complete analysis.

Can we check it? · 0.5/1

Publisher page and abstract were retrieved directly; full text was not assumed open.

Double-blind? Blinding was not established from the retrieved publisher record.

Research question

What the authors investigated

When should software firms make new features free versus use paid upgrades across product versions?

Design

Empirical study using software-firm data on intertemporal product versions and upgrade pricing.

Sample and setting

Software industry; firm-level product/version and upgrade-pricing decisions.

Reported result

What the study found

The paper empirically documents how firms decide whether to give new features free or charge for upgrades (the publisher abstract identifies the study as an empirical software-market study).

This is a paraphrase of the source. Check the original paper for definitions, estimates, statistical uncertainty and analysis details.

Scope and transfer

Limitations to keep in view

Context is one software industry setting and observational firm decisions; the abstract does not establish universal effects across SaaS categories.

Possible founder application

Use the study to frame a pricing or packaging hypothesis and identify outcomes to measure; estimate effects with your own customer mix and willingness-to-pay evidence.

Evidence access

Publisher record and abstract retrieved; consult the linked paper for full methods and tables.

INFORMS/Crossref metadata gives exact title, author, year, journal and describes it as an empirical study of intertemporal versioning and upgrade pricing. Direct publisher-page retrieval was recorded on 2026-10-09; this profile uses the publisher abstract/metadata and does not claim independent review of unavailable full text.

If only an abstract or metadata was available, the profile is limited to claims supported there. A paper's paywall does not change its evidentiary status, but it limits what we can substantiate from accessible text.

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