Madisonville Christmas Company is a Texas holiday destination and designer Christmas store. Its flagship sits on an 11-acre campus in Madisonville, between Houston and Dallas, with a 25,000-square-foot showroom of trees, ornaments, ribbon, wreaths, lighting, and décor. In 2026 it opened its first Dallas–Fort Worth location, a seasonal pop-up in Plano, and it ships across the U.S. from its online store.
The physical stores draw crowds. The online store is newer, and it has to win attention in a few short months each year. Madisonville Christmas Company uses Agora Merchant Studio to see how its products perform, compare those numbers with similar stores, and work through a list of specific fixes. It then audited its whole online store against those recommendations and made the changes.
With Agora, Madisonville Christmas Company:
Sees impressions, product views, clicks, saves, shares, and orders for every product in its catalog.
Compares its performance with similar U.S. stores, without either side seeing the other's identity or raw data.
Gets prioritized recommendations drawn from an audit of its own catalog.
Updated its product data, SEO, answer engine optimization (AEO), and agent files based on those recommendations.
Keeps all of its revenue on sales through Agora, with no commission.
Customer highlights:
4th season of business, after opening in 2023.
6,000+ curated pieces in the Madisonville flagship, sold online year-round.
0% commission on every sale that comes through Agora.
The Challenge
Madisonville Christmas Company has two problems that make each other worse. It is new, and it is seasonal.
A new online store starts with very little information. It has a short sales history, few reviews, and little standing in search results. It also has no baseline. When a product gets 400 impressions in a month, there is no way to tell whether that is good, bad, or normal for a store like this one.
Seasonality shrinks the window to fix any of that. The Madisonville showroom is open from August through the end of the year, and online orders have to be placed by December 10 for standard delivery before Christmas. Most of the year's demand lands in a few weeks. A listing problem found in January costs a season.
The usual way to get reach quickly is a large marketplace, and that comes with two costs. Amazon charges a 15% referral fee on most Home and Kitchen sales. Getting seen there increasingly means buying ads as well. In a test of 50 product searches, Consumers' Checkbook found that 54% of the first 25 results on Amazon were paid placements. For a small store with a short season, paying for every sale and every click adds up quickly.
There is a newer channel to think about too. More shoppers now start with an AI assistant or let an agent shop for them. Those systems read a store differently from a person. They depend on clear titles, complete product details, and machine-readable files about the store. Most merchants have no way to tell whether their store is readable to them.
The Solution
Madisonville Christmas Company connected its store to Agora and began using Merchant Studio. Merchant Studio has four parts.
1. Overview. A single view of how the store performs on Agora over any date range: impressions, product detail views, outbound clicks and click-through rate, saves, shares, units sold, orders, estimated GMV, and purchase conversion. A Top Products table shows which items are pulling their weight.
2. Catalog. Every product the store sells, with its price, availability, impressions, detail views, and clicks. The team can search and sort the catalog to find products that get seen but not opened, or opened but not clicked.
3. Benchmark. This is the part Madisonville Christmas Company used most. Benchmark compares the store's numbers with the average of similar stores in the same country and shows where it falls as a percentile. Peer stores are never named, and their raw data is never shown. Only aggregate values appear. A number like "400 impressions" becomes "above average, 90th percentile" or "below average, 20th percentile," which is something a team can act on.
4. How to improve. Below the benchmark, Merchant Studio lists concrete next steps based on an audit of the store's catalog and its peer metrics. Each recommendation explains what the data shows, how important it is, what to change, and which products are affected. One example: if click-through rate trails similar stores, it suggests putting key attributes such as material, size, and style in the first 40 characters of each product title.
The audit
Madisonville Christmas Company treated the recommendations as a checklist. The team audited the full online store and worked through each area.
Store data. It cleaned up product titles so the important details come first, filled in missing descriptions and attributes, and checked that prices, images, and availability were accurate. This is the information shoppers and search engines see first, and it is the information that decides whether a product shows up for the right search.
SEO. It reviewed how product and collection pages present themselves to search engines, so that a search for a ribbon width or a tree size leads to the right page.
AEO. Answer engines and AI assistants respond to questions, not keywords. The store already had useful answers in its Tree Selector, Ornament Calculator, and Ribbon Guide. The team made those answers easy to find and quote, and stated the facts shoppers ask about most, such as locations, hours, shipping cutoffs, and returns, in plain language.
Agent files. Madisonville Christmas Company now publishes an llms.txt summary of the store and a longer llms-full.txt fact sheet for AI assistants, search engines, and shopping agents. Both point agents to an agents.md file with catalog, search, and checkout instructions under the Universal Commerce Protocol. An agent that lands on the store can now learn what it sells and how to buy without guessing.
None of this work is specific to Agora. Clean product data and clear agent files help the store on Google, in AI assistants, and with any shopping agent. Merchant Studio showed where to start and how far the store had to go.
Why the numbers can be trusted
Benchmark data is only useful if the comparison is fair. Agora is independent. It holds no inventory, sells no products of its own, and takes no money for ranking. Its only job is to find the best product for the shopper. That means the gap between Madisonville Christmas Company and its peers comes down to things the store can change, such as product data, prices, and photos, rather than who bought placement. It also means the fix for a weak number is a better listing, not a bigger budget.
The Impact
A baseline instead of a guess. The team now knows which numbers are healthy and which are behind similar stores. It spends its time on the products and fields that matter.
A plan that fits a short season. Recommendations come ranked by importance, with the affected products listed. A small team can fix the most important problems in a day rather than spend weeks finding them.
Wider reach from a single set of changes. The same audit improved how the store appears on Agora, in traditional search, and to AI assistants and agents.
All of the revenue. Sales through Agora carry no commission, so more of each order stays with the store during the weeks that matter most.
What's Next
The busiest part of the year is still ahead. Madisonville Christmas Company plans to check its benchmark regularly through December, as shopping traffic and its peers' numbers change week to week. Its Plano pop-up is introducing the brand to new shoppers in Dallas–Fort Worth, and many of them will look it up online first. Because the online store is open year-round, the team can also use the quieter months to prepare the catalog for its next season before it starts.
