# How to Research Why Reddit Users Switch Between Products

Search for named product comparisons and switching problems on Reddit, and record the exact condition behind each choice separately from the product name. An Actor is a hosted data collection program that gathers public forum posts. A Task is a saved input preset with a specific query, sort order, and result limit. A recommendation only shows what one user suggests. It does not prove market share or why all customers switch. A criterion is a condition used to choose, such as budget, team size, or required workflow.

## Collection setup with exact links

Start your project with the [Reddit Search Scraper Actor](https://apify.com/chronometrica/reddit-search-scraper) and the [Reddit Market Research Posts](https://apify.com/chronometrica/reddit-search-scraper/examples/reddit-market-research-posts) Task preset. The default preset uses the query best CRM for small business with maxResults set to 200, sort set to comments, and time set to year. Replace the query with your own product comparison phrase and lower the cap to 3.

The scraper accepts input parameters including query, optional subreddits, maxResults, sort, and time. Sorting by most commented orders posts by discussion volume. It does not measure market preference. Each saved row returns exact fields: inputQuery, requestedSubreddit, matchedSubreddit, postId, canonicalPostUrl, title, body, createdAt, commentsCount, status, unavailableFields, and observedAt.

One output row is a discovered post. It is not a verified product switch or a complete reply thread. You must manually inspect the full discussion to get needed context. Missing context remains unreviewed. A three-row scoped control run validates data collection only. It does not prove real product comparison findings or gather all replies.

The output run summary reports execution details. It includes status, statusReason, isComplete, query, searchesPlanned, searchesSucceeded, candidatesFound, usefulRows, rowsSaved, billableRows, freeRows, duplicatesSkipped, stopReason, and observedAt. Individual search results contain query, subreddit, status, reason, candidatesFound, rowsSaved, duplicatesSkipped, endReason, source, and sourceUrl.

In a sample control run, the first search result entry recorded a subreddit of learnpython, a status of ok, three rows saved, an endReason of max_results_reached, and a source of reddit_rss. A global isComplete value of true shows that execution finished. It does not mean you collected the full source population. The requestedSubreddit or matchedSubreddit field in a post row can differ from the summary level subreddit field.

## Eight steps to research product switching

1. Define the buyer situation and product category before you collect data. Write down the exact decision you need to understand. Do not search for random complaints. Use known product names and words like alternative, switch from, or compare only as query leads.
2. Collect small query families like direct product comparisons, switching from a product, or needs that a product leaves unmet. Save your exact query, source time, sort order, and cap identity. Missing context must stay pending. Do not fill in missing facts from a post title.
3. Read the full source discussion and distinguish between a request, a recommendation, a reported use, a reported switch, and vendor promotion. Keep promotional claims separate from real user experience. A stated switch can still be an unverified personal report.
4. For each comparison, record the product considered, the chosen product if stated, the criterion, the condition, the source passage, the decision stage, and your confidence level or unknowns. Do not infer that [a negative product comment](/en/articles/reddit-target-sentiment/) means the author switched or preferred a named alternative.
5. Separate reasons from outcomes. Too expensive for our team gives a cost and team condition. A product is better without details is an unsupported recommendation. A second hand claim is weaker evidence than a stated first hand use, but neither proves all users experience the same thing.
6. Group decision criteria while keeping qualifiers. A five person team and a five hundred person team can require different permissions. Do not merge those into one universal feature demand. Keep unmentioned constraints unknown.
7. Make a criteria matrix and find a question to verify with your own relevant users or product trials. [Repeated mentions](/en/articles/reddit-research-count-units/) in a source ranked sample can suggest an investigation, not a product priority score. Do not call the most mentioned product the market leader.
8. Deliver an alternatives criteria table and a next validation question. No automatic product recommendation follows solely from the data export. A buyer decision still needs your own user requirements and current product facts.

## Fictional example of a comparison matrix

All products and comments in this fictional example are invented. Imagine five source statements in a scraped sample:

- Statement 1: Our four person team left product A for product B because we needed a lower monthly minimum. Label equals reported switch. Criterion equals cost. Condition equals four people. Outcome equals product B stated. Verification equals personal report.
- Statement 2: Product A is awful. Product B is better. Label equals recommendation. Criterion equals unknown. Switch equals unknown. Do not invent a price.
- Statement 3: Can product B handle approval steps for fifty reviewers? We are still comparing. Label equals request. Criterion equals approval workflow. Condition equals fifty reviewers. Chosen product equals unknown.
- Statement 4: We kept product A after trying product B because offline work mattered. Label equals reported comparison, not a switch. Criterion equals offline work. Condition equals not otherwise known. Chosen product A stated.
- Statement 5: A vendor says everybody is moving to product B. Label equals promotion. There is no accepted market share or switch count.

The matrix has one reported switch from product A to product B, one reported retention of product A, one open comparison request, one unsupported recommendation, and one promotion. Do not write two switches because statement four tried product B, or five customer preferences because all five are text rows. Three explicit criteria appear for cost, approval, and offline work. None is a universal ranking.

| Source | Label | Criterion | Condition | Chosen Product | Verification |
| --- | --- | --- | --- | --- | --- |
| S1 | Reported switch | Cost | Four people | Product B | Personal report |
| S2 | Recommendation | Unknown | Unknown | Unknown | Unsupported |
| S3 | Request | Approval workflow | Fifty reviewers | Unknown | Open question |
| S4 | Comparison (no switch) | Offline work | Unknown | Product A | Personal report |
| S5 | Promotion | Unknown | Unknown | Unknown | Vendor claim |

Next validation question: For our target small team, is the lower minimum cost more important than offline use? The fixture cannot answer that. The proposed next step is to ask eligible own users or check current trial behavior for our requirements. No invented interview, trial result, or paid outcome is supplied. The final artifact keeps the criterion, condition, decision stage, and evidence level for each source, with unknown cells kept intact.

## Next action

Open the [Reddit Market Research Posts](https://apify.com/chronometrica/reddit-search-scraper/examples/reddit-market-research-posts) Task, run one small comparison phrase, and turn each inspected source into a criterion and condition row before choosing what to verify next using the main [Reddit Search Scraper Actor](https://apify.com/chronometrica/reddit-search-scraper).

## Sources

- [Reddit Search Scraper Actor](https://apify.com/chronometrica/reddit-search-scraper)
- [Reddit Market Research Posts Task](https://apify.com/chronometrica/reddit-search-scraper/examples/reddit-market-research-posts)
- [Product Marketing Research Discussion](https://www.reddit.com/r/ProductMarketing/comments/1fc54bh/how_to_perform_market_research_and_competitive/)
- [Customer Research Tactics Discussion](https://www.reddit.com/r/ProductMarketing/comments/1liklfb/best_tactics_for_customer_research/)