seo.product_h1
Specialized Nutrition for Cacti & Succulents – Formulated to meet the specific needs of cacti, jade, aloe vera, and other succulents.
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 fa 3 mesos
- Specialized Nutrition for Cacti & Succulents – Formulated to meet the specific needs of cacti, jade, aloe vera, and other succulents.
- Prevents Overgrowth – Lower nitrogen content (NPK 2-7-7) encourages compact, healthy growth without excessive stretching.
- Easy Application – Just 7 drops per liter of water for hassle-free feeding every time you water.
- Convenient Dropper – Includes an easy-to-measure dropper for simple, mess-free dosage.
- Balanced Support – Provides the right balance of nutrients to strengthen roots and promote long-term plant he
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 été ajouté à notre catalogue
Key Specifications
Specifications
- Color
- Multi
- Dimensions
- inches × Width × en_CA × 6 × inches × Height × en_CA × 4 × inches × Length × en_CA × 12 × pounds × Weight × en_CA × 0.3
Product Info
- Brand
- SCHULTZ
- Model
- 1800200
- Dimensions
- inches × Width × en_CA × 6 × inches × Height × en_CA × 4 × inches × Length × en_CA × 12 × pounds × Weight × en_CA × 0.3
- Sales Rank
- #29,631
- Identifiers
- ASIN
- B00496VH5I
- EAN
- 0072845110190
- UPC
- 072845110190
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