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TOP 3 ALTERNATIVES — RANKED
Three you should evaluate first.
Filtered from 12 candidates by feature similarity, audit score, and review velocity. The hero treatment is editorial — these earned more space because the data did.
Data Export IO: Report
Analytics#1TOP PICK
5.001,905 reviews
89/100Audit score
Pick if you want feature parity
Strongest fit on feature parity. The most direct functional swap. Shares analytics feature signature, comparable workflows, and a similar audit-score band — switch costs are usually lowest here.
Report Pundit: Custom Reports
Analytics#2RUNNER-UP
5.001,860 reviews
91/100Audit score
Pick if you're cost-sensitive
Wider scope, slightly different focus. Wider feature surface than the source app's focus area. Useful if you're shopping analytics alongside adjacent capabilities you'd otherwise integrate separately.
BR ‑ Better Reports
Analytics#3VALUE PICK
5.001,136 reviews
90/100Audit score
Pick if you live in workflows
Established alternative with audit-grade listing. Established option with the rating + review depth to be vendor-evaluated. Best when running this category at scale and you can't afford early-stage product surprises.
SIDE-BY-SIDE COMPARISON
retailQ: Multi‑store Analytics versus the top 3.
Five rows, all loaded above the fold. Wins are highlighted; nothing's hidden behind a tab.
RANKS #4 THROUGH #12
The next 9, denser.
Lower-ranked but legitimate. Click any row for the full profile — or compare side-by-side with retailQ: Multi‑store Analytics.
How these alternatives are ranked
Scored daily. Three signals, weighted and blended. No vendor money changes anything.
45%Feature similarity
N-gram match against retailQ: Multi‑store Analytics's feature signature, weighted by category overlap.
35%Audit + rating
Listing quality (0–100) blended with rolling 90-day rating average. Penalizes thin listings.
20%Review velocity
Reviews added in trailing 30 days, normalized by category baseline. Surfaces rising challengers.
Every Shopify alternative on this page is scraped, normalized, and re-scored every 24 hours. We don't accept paid placement, vendor-funded "best of" content, or sponsored ranking — and we publish the rules so you can audit them yourself. If a vendor disagrees with their position, that's between them and the data.
WHEN DOES IT MAKE SENSE TO SWITCH FROM RETAILQ: MULTI‑STORE ANALYTICS?
Four reasons people leave.
Decision triggers, not marketing. If two or more apply, your shortlist starts with the apps named below each card.
Pricing has outgrown your usage
If your usage of retailQ: Multi‑store Analytics has crossed a pricing-tier breakpoint, per-unit cost is usually where alternatives diverge most clearly. Some apps in the list above carry a free tier; others are paid from day one. Compare the published plans on each alternative's page against your current bill — the gap is the only number worth acting on, and it is specific to your usage.
Report Pundit: Custom Reports · Data Export IO: ReportYou need a feature outside the focus
Each Shopify category has a feature spectrum. The "Similar feature set" badge above marks alternatives whose feature signature most overlaps with retailQ: Multi‑store Analytics. The "Category leader" badge marks apps that may approach the same category from a different feature angle — useful if you want to widen rather than narrow your toolset.
Data Export IO: ReportSupport response has slowed you down
Support quality is the hardest thing to read from a listing, and it is the most common reason a switch gets made. Read the most RECENT reviews on each alternative's profile rather than the lifetime average — recency is what tells you how the app is supported today, and trailing review velocity is the freshest signal AppRanks tracks.
FREQUENTLY ASKED
Answers built from the data.
Built from the same scores the ranking uses — so they won't contradict the table.
For most accounts under typical category usage, the answer depends on tier. Data Export IO: Report is in the freemium band (Free trial), while retailQ: Multi‑store Analytics is freemium (Free trial). At parity scale, the cheaper option can save 30–60% — but feature-for-feature swaps usually narrow the gap above the second tier.
VERDICT · UPDATED TODAY
If you're moving from retailQ: Multi‑store Analytics, the most common landing spots are Data Export IO: Report (unknown feature match, audit 89/100) and Report Pundit: Custom Reports (pricing leverage + breadth). Skip TP: True Profit Analytics unless your use case is unusual.
If feature parity matters most
→ Data Export IO: Report
Unknown feature parity. Audit 89, 5.00★.
If pricing matters most
→ Report Pundit: Custom Reports
Best for cost-sensitive teams. 5.00★ across 1,860 reviews.
If you're scaling enterprise
→ BR ‑ Better Reports
Strongest scale fit when category usage exceeds typical thresholds. Vendor-evaluate before committing.
Continue your research
Audit retailQ: Multi‑store Analytics's listing
See where retailQ: Multi‑store Analytics ranks 0–100 on listing completeness, screenshots, and description quality.
Open auditretailQ: Multi‑store Analytics vs Data Export IO: Report
Side-by-side feature deltas, shared keywords, rating curves over the trailing 12 months.
Open compareShopify category leaders
Highest-rated Shopify apps by intent. The category-by-category leaderboard.
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