Affiliate commerce is often treated as a simple equation: more content, more links, more revenue.
In practice, it rarely works that way.
Sustainable growth doesn’t come from scaling tactics in isolation. It comes from building partnerships that align with editorial standards, audience expectations, and operational realities, and then adapting those partnerships over time.
Across our work with publishers, the most consistent results come from a shared principle: Commerce works when it fits.
Below are three different partnership structures—each with its own constraints, inflection points, and outcomes—and what they reveal about how durable commerce programs actually scale.
One Partnership, Multiple Models: Mashable and PCMag
Since partnering with Ziff Davis in 2017, we’ve worked across various properties, including Mashable and PCMag—two brands that operate under the same umbrella but represent fundamentally different editorial environments.
Mashable is a fast-moving, culture-driven newsroom. Speed and relevance define how content is created and consumed.
PCMag is an authority-driven publication built on rigorous product testing, transparency, and reader trust.
The challenge across both was the same:
- Monetize commerce without diluting editorial trust or momentum
- Support distinct editorial models within a single partnership
- Drive performance without forcing a one-size-fits-all approach
The solutions, however, were not.
At Mashable, the focus was on enabling scale without slowing the newsroom. High-cadence commerce content, supported by infrastructure designed for speed, allowed the program to grow alongside editorial output. Continuous testing and strategic amplification helped refine what resonated.
The result was sustained performance at scale, including multi-year growth and strong early traction, with a white labeled deals marketplace.
At PCMag, the path looked very different. Early performance lagged expectations, and the existing model didn’t align with how readers evaluate recommendations.
Instead of pushing volume, the strategy pivoted:
- A shift to an affiliate model
- Clearer separation between editorial voice and commerce
- Tighter product curation and greater transparency
Those adjustments allowed performance to root and expand:
- Earnings grew 87% year over year in 2024
- Increased another 82% in 2025
- 2025 alone matched the prior three years combined
These two examples illustrate the same principle from different angles:
Commerce doesn’t scale by applying the same model everywhere. It scales by adapting to how each audience already trusts the brand. Velocity and trust can grow together.
And when alignment is off, realignment can unlock growth.
View the full Mashable and PCMag case study:
Scaling Through Fit: Popular Science
Popular Science has been a partner since 2015, making it one of the longest-running relationships in our network.
Its audience spans both technical experts and general consumers, creating a different challenge: how to scale commerce for a broad readership without compromising editorial credibility.
The answer wasn’t immediate scale; it was gradual alignment.
Cadence increased over time through a series of controlled steps:
- Seasonal testing periods
- Expansion to weekend publishing
- Eventual move to two articles per day
That progression wasn’t arbitrary. It followed changes in structure and presentation that included clearer sponsored content labeling, reducing the concentration of commerce content, and better alignment with existing editorial coverage.
At the same time, product curation narrowed to categories already familiar to PopSci readers: tech, gadgets, apps, and software, e-learning, language tools, and digital utilities. Products that naturally fit within the site’s content ecosystem felt more native for the audience.
The impact of that refinement is clear:
- Over $2M in net earnings delivered
- Nearly $11M in total revenue generated
- 264,903 items sold
- Average monthly revenue increased from ~$40K to ~$77K following optimization
Again, scale didn’t come from pushing more content. It came from making commerce feel like a natural extension of the editorial experience.
View the full PopSci case study:
Adapting First: Entrepreneur
Entrepreneur presents a different kind of case.
As one of Stack’s earliest publishing partners, the relationship had a long history, but by 2023, it was under strain.
Commerce performance had declined, and revenue wasn’t diversified enough. At the same time, Entrepreneur’s bandwidth was stretched while content cadence and costs remained high.
The partnership wasn’t just underperforming, it was, frankly, at risk. Incremental optimization wasn’t going to work; it was time for a total overhaul—and for Stack to make some concessions. We quickly assessed the situation and led the reset with a series of data-driven recommendations grounded in our experience across publisher partnerships.
In mid-2024, the model was restructured to prioritize stability:
- A monthly earnings guarantee introduced across revenue streams
- Article cadence reduced to better match editorial capacity
- Content fees waived until performance thresholds were met
- Media efforts expanded, including high-performing crowdfunding campaigns
Critically, these changes reduced the burden on the partner. The results were immediate and measurable:
- Total payouts increased 120% year over year
- Media payouts grew 470% year over year
- Commerce and media revenue expanded together
- The partnership stabilized and returned to growth
This wasn’t a case of scaling or tweaking. It was a case of stepping in, absorbing short-term tradeoffs, and rebuilding the model around real constraints. Growth followed that decision.
View the full Entrepreneur case study:
What These Partnerships Have in Common
These case studies span very different environments: a high-velocity cultural newsroom, a trust-first product authority, a broad science and technology publication, and a business-focused media brand under operational pressure.
What connects them is not a shared tactic, but a shared approach.
Across all four, the same patterns emerge. Editorial integrity comes first. The commerce model adapts to the brand, not the other way around. Optimization happens over time, not overnight.
There is no universal playbook for content commerce. What works is a partnership model that can evolve—sometimes gradually, sometimes through a hard reset—to match how each audience engages, trusts, and converts.
The Bottom Line
Most commerce strategies start with the wrong question: How do we scale faster?
The better question is how to scale without breaking what already works.
That shift changes how partnerships are built. It prioritizes alignment over volume, fit over speed, and long-term performance over short-term gains.
If you’re evaluating how commerce fits into your editorial strategy—or reassessing an existing partnership—that’s where to start. And if you’re working through that, we’re always open to a conversation.
