1. Pick competitors that compete for the same purchase

Start with three brands that serve a similar customer, price range, and product need. A large brand in the same category may be an interesting reference without being a direct competitor. Use the brand explorer to build a shortlist; the covered set is curated, not a complete market census.

2. Compare five equivalent products

Record the product, variant, displayed currency, listed price, compare-at anchor, and actual offer terms. Note resale, bundles, and subscriptions. A different variant or product mix can change an apparent price comparison without changing the offer for the same item.

3. Read activity as an observation

A recent creation timestamp is not a verified product launch. Imports and catalog reorganizations can create bursts of new records. DTC Signals flags possible bulk changes and keeps unavailable catalogs separate from zero activity.

4. Add the searcher's question

A phrase such as “Allbirds competitors” suggests a comparison question. Search estimates provide context; they cannot establish willingness to pay or explain a brand's sales. Match the phrase, country, and observation period before joining the layers.

5. Write one testable hypothesis

For example: “A relevant two-item bundle may make our offer easier to compare.” Use your own conversion rate and contribution margin to evaluate the test. The public storefront cannot supply either number.

6. Repeat a comparable observation

Match the same products, variants, and currency at a later date. Treat newly observed or missing records as sample changes until you verify an actual launch or removal. One dated baseline cannot establish a trend.

Start with the evidence ↗