# Jason Zollan

Jason Zollan works on retail media at Constructor, focusing on how retailers can use search and product discovery to make sponsored products more relevant to shoppers.

- Profile: https://b2binfluencer.marketing/creators/jason-zollan/
- LinkedIn: https://www.linkedin.com/in/jasonzollan
- LinkedIn followers: 3,241
- Topics: ecommerce, product-discovery, retail-media
- Based on 13 dated posts, latest 2026-10-06

## Summary

Jason Zollan is most useful for retail media thought leadership tied to search and product discovery.

- Best for: A retail technology platform wanting a thought leadership piece on AI-driven retail media and product discovery.
- Not for: A consumer brand wanting independent sponsored short-form video for a general shopping audience.
- Check first: Confirm formats, rates, booking route, and any media kit or sponsored examples.

### Takeaways

- Retail media should be built into search and product discovery, not a separate ad system.
- Sponsored placements should match what the shopper is searching for, not just fill ad space.
- Constructor reported 122% year-over-year growth in active advertisers and nearly 3,000 brands.

## Main ideas

- **Retail media should be built into search and product discovery, not added as a separate ad system**: Jason Zollan argues that sponsored products work better when they run on the same platform that powers site search and product discovery, because it already understands shopper behavior and can learn from it. In their framing, disconnected ad tools produce worse relevance, and the future of commerce media depends on systems that adapt together wherever shoppers discover products. This is a product-architecture argument, not just a marketing preference: they tie it to Constructor's claim that its retail media network grows out of its discovery engine.
- **Sponsored placements should match what the shopper is searching for, not just fill ad space**: Zollan argues that the next generation of retail media is less about selling placements and more about improving the shopping experience. AI aligns sponsored content with real-time intent. They present the result as a three-way win: retailers see higher margins, brands see better performance, and customers find what they need. The priority is relevance over inventory volume, and they also say Constructor outperforms legacy networks on relevance, fill rates, and return on ad spend.
- **Make the case with operating numbers and outside validation, not adjectives**: Zollan makes the case with platform metrics and analyst recognition, opening with a short narrative hook before listing figures. They also use the Gartner Magic Quadrant as third-party proof, interpreting the quote for a retail media audience. The figures are company-reported; ask for supporting documentation when assessing them.
- **Live events and podcasts are a preferred way to explain the approach**: Zollan's public work extends beyond written posts. They promote and lead in-person sessions and appear in interview-format media, using conversation and partner showcases to explain their approach. The event post also shows the topics they are prepared to present on: retail media, offsite discovery, and evolving architecture requirements.

## Work to read

- [Constructor named a Leader in the 2026 Gartner Magic Quadrant for Search and Product Discovery](https://www.linkedin.com/posts/jasonzollan_retailmedia-ecommerce-adtech-activity-7493684802643116035-Z2id)
- [Announcing Constructor's first retail summit in Melbourne](https://www.linkedin.com/posts/jasonzollan_constructor-is-hosting-our-inaugural-retail-activity-7432137339755384832-4m94)
- [The Gartner quote on why an end-to-end retail media platform matters](https://www.linkedin.com/posts/jasonzollan_lets-go-constructor-was-recognized-activity-7475987220345081857-TSo5)
- [Retail media that helps shoppers instead of interrupting them](https://www.linkedin.com/posts/jasonzollan_constructor-state-of-the-retail-industry-activity-7425562996183089152-xPPn)
- [Talking retail media on the Shiny New Object Podcast](https://www.linkedin.com/posts/jasonzollan_retailmedia-digitalcommerce-aicommercemedia-activity-7435373045235515392-IgE2)

## Brand relationships

- **Constructor** (employment)
- **Amazon Web Services** (mention)
- **Braze** (mention)
- **commercetools** (mention)
- **Convert Digital** (mention)
- **Gartner** (mention)
- **Retail Today** (mention)
- **Shiny New Object Podcast** (mention)

## Partnerships

Jason Zollan's posts focus on Constructor's retail media and product discovery business, not a published creator offering. Across five posts, they promote Constructor's Gartner placement, an in-person retail summit in Melbourne, a Retail Today industry feature, and a podcast appearance. The posts provide no sponsorship terms, rates, booking route, media kit, rate card, or documented sponsored-content example. Brands interested in working with them should ask directly about formats, rates, and booking, and whether the proposed angle supports Constructor's retail media positioning.

## Alternatives

- Roger Dunn: Choose Dunn for a close read of platforms changing commerce — TikTok's agentic shopping tools inside the For You feed, OpenAI's always-on shopping agents — and what they mean for where a sponsored placement sits. Their posts take one announcement, separate confirmed details from the direction of travel (no launch dates or markets), and close with questions for brands and retailers to watch: whether a shopping assistant will carry ads, and how to attribute a sale that starts in a chat and ends without a click. That suits a platform looking to lead the agentic-commerce conversation with readers who already follow the news.
- Trenton Drury: Choose Drury to convince retail search and ecommerce teams that discovery is now the front door to the sale, in language the whole team can follow. Their posts draw a demand story from a single event — Black Friday online spend of $11.8B, an 805% surge in AI-driven retail traffic, AI-referred shoppers converting 38% more often, and Algolia handling 33.5 billion searches across the weekend. A second post explains cultural search, such as a 'cerulean sweater,' as a query a retailer has to answer. That framing helps when the audience is not yet convinced that intent arrives in loose, non-product words.
- Guru Hariharan: Choose Hariharan for a CPG brand marketer deciding where media money goes. Their posts work from disclosed numbers and tell brands what to do with them: Amazon's $19.8 billion quarterly ad revenue and its first performance readout on AI-powered Sponsored Prompts (48% higher conversion, 21% larger basket). The conclusion: rich, structured product data now determines ad performance, with content and media teams feeding one engine. A second post catalogs what goes wrong when AI is deployed badly — decisions made on hallucinated content, bias litigation, untracked token costs — and argues that poor adoption, rather than takeover, is the real risk. That mix of operator credibility and risk framing suits a piece aimed at brands rather than retailers.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/