Home Surveillance Ecommerce 2026

By shrijeetverma13 · May 18, 2026

This dataset captures the 2026 home surveillance product market as listed across publicly available e-commerce platforms, covering cameras, NVR/DVR…

The analysis produced two bar charts comparing discounted and non-discounted listings across sell-through rate and average revenue. These visualizations clearly show how discount status affects both key performance metrics across all listings in the dataset.

The analysis reveals clear dominance patterns across sellers, states, and countries. Three bar charts and supporting data tables were generated to visualize the breakdown. The United States is the top country with $11.2M in revenue from 796 listings. Within the US, California leads all states at $3.1M revenue across 111 listings. At the individual seller level, Seller 4 tops the charts with $2.8M revenue from just 34 listings — a remarkably high revenue-per-listing ratio. The top 10 sellers combined account for $8.4M in revenue.

A data table was generated summarizing the impact of key product features (AI Detection, Night Vision, Solar Power, and Pan/Tilt/Zoom) on units sold and revenue. The table compares average sales and revenue for products with and without each feature, along with the percentage lift each feature provides.

The analysis produced three interactive charts and four data tables breaking down revenue and sell-through performance by brand and brand tier. The first chart shows the top 10 brands by total revenue (USD), color-coded by their average sell-through rate. The second chart highlights the top 10 brands by sell-through rate (among brands with at least 3 listings), colored by total revenue. The third chart compares brand tiers side by side on total revenue and average sell-through rate, with listing counts labeled on each bar.

The analysis identified the top category × smart home ecosystem combinations ranked by a combined score of revenue and commercial value. Two charts were generated: a horizontal bar chart showing the top 10 combos by revenue (color-coded by commercial value), and a scatter plot mapping demand (units sold) vs. commercial value across all qualifying combinations. The clear winner is 'IP/Smart Camera Systems Other/Generic' with $4.6M in revenue, 43,362 units sold, and a commercial value score of 59.5 across 181 listings.

A data table was generated showing sales volume and revenue compared across price tier and demand tier segments. The table summarizes how different combinations of pricing levels and demand categories perform in terms of units sold and revenue generated.

The analysis successfully produced a stacked bar chart showing listing counts per brand tier segmented by condition, with an average revenue proxy line overlaid to compare performance across segments. Two supporting data tables were also generated to detail the brand tier × condition combinations.

The analysis successfully ranked the top 10 sellers by their global reach score and compared them against key commercial performance metrics. A multi-metric grouped bar chart was generated showing each seller's global reach, average sell-through rate, average price, and total revenue side by side. The chart uses a dual-axis layout — the left axis covers reach and sell-through rates (0–1 scale), while the right axis (log scale) handles price and revenue figures. Additionally, sellers with sell-through rates below the dataset median were flagged as underperforming opportunities — meaning they have strong international shipping reach but aren't converting that exposure into sales at the expected rate.

The analysis successfully examined the distribution of tech richness score and commercial value score across 214 distinct product type categories. Two visualizations were created: a grouped box plot showing how both scores vary by product type, and a bar chart ranking product types by their combined normalized value score. The combined score is calculated by normalizing each metric and summing them, giving equal weight to technical feature richness and commercial value.

The correlation analysis between 8 hardware features and 3 sales metrics has been completed, with a heatmap and a bar chart of the top positive and negative correlations generated. Overall, hardware features show only weak correlations with sales outcomes — all Pearson r values fall well below 0.3 — suggesting that factors like pricing, brand, and bundling play a larger role in driving sales than hardware specs alone.

The sentiment analysis of the 'title' column reveals that the vast majority of titles carry a neutral tone. A bar chart has been generated showing the full sentiment distribution across all 862 records.

A word cloud has been generated from the 'title' column of your dataset. The visualization displays the most frequently occurring words in the titles, with larger words appearing more prominently to indicate higher frequency.