Categories/Computer Peripherals, Modems and Hard Disks/PIXMA TS3722 Wireless All In One Printer
Voice of Customer Report

PIXMA TS3722 Wireless All In One Printer

walmart.comTrailing 12 months · 20 Mar 2026 – 4 Aug 2026Last updated: 18 Aug 2026 · 190 reviews in the trailing 30 days

Across 708 walmart.com reviews in this window, shoppers' most common complaints are general, performance, usability — while general remains the strongest driver of 5-star ratings, named in 50% of them. The listing holds a 3.6★ average, a review-based NPS of +30, and 55.2% positive sentiment, with a Product Health Score of 73/100 (Stable).

708
Reviews · this window
708 all-time since 2026
3.6 / 5
Average star rating
3.57 all-time average
+30
Review-based NPS
+26 to +34 across 3 quarters
55%
Positive sentiment share
29% negative · 16% neutral
73 / 100
Product Health Score
STABLE
KPI · Product Health

Product Health Score for PIXMA TS3722 Wireless All

In the MetricsCart VoC findings, Product Health Score is a composite index that aggregates review velocity, recency, brand advocacy (NPS), star rating velocity, and net sentiment momentum. This unified metric allows cross-functional brand, category, and digital shelf teams to instantly benchmark hundreds of SKUs and isolate underperforming products requiring immediate optimization.

73 / 100
Stable
Bands: 85+ Healthy · 70–84 Stable · 50–69 Watch · 0–49 At Risk
Advocacy (NPS)weight 30%
65
Sentimentweight 25%
55
Rating strengthweight 20%
71
Momentumweight 15%
100
Freshnessweight 10%
100
Executive summary
  1. PIXMA TS3722 Wireless All concluded the trailing 12 months with 708 reviews at a 3.6★ average (55% positive, 29% negative), yielding a Product Health Score of 73/100 (Stable).
  2. Review-based NPS registers at +30, maintaining a stable +26 to +34 historical band for three consecutive quarters, indicating durable shopper advocacy.
  3. Primary Positive Sentiment Drivers: General generated 453 mentions (62% positive), followed by Product Integrity at 608 mentions (46% positive).
  4. Primary Product Friction Point: General accounted for 153 negative mentions, 23% of all negative theme mentions ("just junk").
KPI · Review Volume & Sentiment Trend

Review Volume and Sentiment Trend

Each bar is a month's total review volume, split by sentiment. Volume averaged 139 reviews a month across full months, peaking at 204 in Jul '26. Negative share ranged 2335.9%; the highest month was May '26 (35.9%, 56 reviews).

PositiveNeutralNegative
139/mo
Average monthly volume
204
Peak month · Jul '26
29.0%
Negative share · window average

* Final month is partial (data through 4 Aug 2026).

Analysis · Positive Drivers

Core Sentiment and Brand Value Drivers

The themes that appear most often inside 5-star reviews — the equities to protect in any reformulation, pack change, or price move.

Share of 5★ reviews mentioning the theme
General
192 mentions
50%
Usability
158 mentions
41%
Market Positioning
107 mentions
28%

An analysis of top-tier consumer feedback isolates three primary brand equity anchors driving listing performance. Leading all categories, General represents the most critical core equity, captured in 192 five-star reviews — 50% of all 5-star reviews. Usability surfaces as a significant secondary driver at 41% (158 reviews). Additionally, Market Positioning anchors the third equity position at 28% (107 reviews).

Analysis · Negative Drivers

Primary Customer Friction Points & Sentiment Concentration

The most frequent complaint themes in the period, each with its share of all 670 negative mentions and a verbatim excerpt.

Top negative themes · share of all negative mentions
General"just junk"
153 mentions
23%
Performance"Very slow"
124 mentions
19%
Usability"Doesn’t set up"
121 mentions
18%

A systematic review of low-tier consumer feedback isolates the primary performance detractors suppressing star ratings. Heading the friction index, General represents the most acute quality or operational drag, generating 153 explicit complaints and accounting for 23% of all negative feedback. Performance surfaces as the secondary constraint at 19% (124 mentions). Additionally, Usability registers a third friction concentration at 18% (121 mentions). Outside the top three indicators, Fulfillment accounted for 116 mentions, acting as an additional external pressure point on the overall digital shelf rating.

Analysis · Intent Distribution

Consumer Intent Classification

Beyond polarity, each review is classified by what the shopper is doing. Praise accounts for 41% of reviews; complaints run 14%.

Share of all reviews by intent
PraisePositive experiences shared
288 reviews
40.7%
ComplaintProblems & defects reported
102 reviews
14.4%
HelpQuestions & support needs
24 reviews
3.4%
ImprovementSuggestions & wishes
24 reviews
3.4%

Intent labels in this sample are mocked — a deterministic keyword stub, not LLM output — applied to review title + text (n = 708). 270 reviews with no clear intent signal are excluded from the four categories.

Expanding beyond binary sentiment polarity, each customer submission is parsed using a standardized intent-classification matrix to isolate specific consumer behavioral drivers. Over the trailing 12-month period, Praise indicators — including verified positive experiences, explicit repurchase intent, and brand advocacy signals — constitute the dominant intent segment, accounting for 41% of all reviews (288 reviews). Conversely, critical Complaint signals register at 14% (102 reviews), establishing the baseline operational risk margin.

End of report

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Theme Hierarchy
Product Integrity · 608 mentions
Usability · 330 mentions
Every mention classified three levels deep, with sentiment.
Watchlist Signals
General
153 negative mentions this period
Emerging issues flagged before they hit the rating.
Your shoppers already wrote this report — you just haven't read it yet.

This sample report concludes here, your portfolio insight model doesn't. Go beyond standard review display widgets and basic sentiment charts. While legacy tools track volume, the MetricsCart Review Analysis Platform delivers automated product attribute intelligence engineered explicitly to fuel competitive brand positioning, protect product margins, and guide iterative R&D engineering.