seo.product_h1
Complete 24-Piece Assortment: Includes 24 plastic retainer clips in multiple sizes and colorsโideal for repairing or replacing lock rod linkage on driver or passenger car doors.
Topelio Score
Poor
Product with limited performance. Critical point: review count.
Score Breakdown
Average Amazon user rating
Volume and reliability of reviews
Consistency of price history
Stock reliability
Truthfulness of advertised discounts
Updated 3 ะผััััั ัะพะผั
- Complete 24-Piece Assortment: Includes 24 plastic retainer clips in multiple sizes and colorsโideal for repairing or replacing lock rod linkage on driver or passenger car doors.
- Multiple Hole Sizes for Versatile Fit: Features 4 inner diameter options (2.9mm, 3.2mm, 3.6mm, 3.8mm) with 6 clips per size, making them suitable for a wide range of vehicles and installation points.
- Durable & Reusable Material: Made from high-quality plastic, these door lock clips resist wear, deformation, and corrosionโensuring lasting performance in daily use.
- Tool-Free, Snap-On Installation: Easily snap into place without drilling or special toolsโperfect for DIY replacements of damaged or missing door linkage clips.
- Universal Compatibility: Designed for most vehicles with 2mm to 3.5mm lock rod holesโfits both left and right doors on cars, trucks, SUVs, and tailgates.
User Reviews
Be the first to review
Total Cost of Ownership
Estimate the real cost over the product's lifetime.
Cost breakdown
Cost details
Calculating...
Estimates based on average data. Actual costs may vary depending on usage and local rates.
Product History
Product added to Topelio
Ce produit a รฉtรฉ ajoutรฉ ร notre catalogue
Product Info
- Brand
- ZALAOR
- Manufacturer
- ZAL
- Sales Rank
- #11,608
- Identifiers
- ASIN
- B0FDZXJH15
Price trend analysis
N/A
Trend unknown
Insufficient data to analyze price trend.
Our recommendation
We recommend monitoring price evolution before buying. Set a price alert to be notified of drops.
Best time: Wait a few days to observe evolution
Price predictions
7 days
Cannot predict
confidence