Weekly Traffic · Three Brands · 2026
Brand-keyword topics only — this measures each brand's own branded search gravity, not the total camera market. Hover for YoY per brand.
YoY Growth by Brand · wk1-30
Same-week comparison, 2026 vs 2025.
Indexed Growth (wk1 = 100)
Momentum comparison normalizing for scale.
Query-Type Gap · Where Their Keywords Exist and Ours Don't
Every keyword classified by query type. "Share" = % of that brand's 2026 topic traffic. Red rows = query types where Tapo has materially less coverage — these are the addressable gaps.
New Product Launch Performance · Head-to-Head
For each launch (2025 + 2026): branded-search traffic its own model keywords generated in the 12 weeks following launch, plus how many distinct keywords the product spawned. This is the cleanest measure of "how much search demand a launch creates." Keyword attribution excludes sibling variants (Pro vs non-Pro counted separately) so no traffic is double-counted.
Launch Traffic per Product · 12 Weeks Post-Launch
All 2025 + 2026 launches. Dashed outline = 2025 launch (its 12-week window crosses into 2026 and is computed on an absolute week axis).
Keywords Spawned per Launch
How many distinct branded queries the market generates for each new product.
Launch Cadence vs Traffic · Two-Year Timeline
Weekly traffic across 2025–2026 on one continuous axis, with every product launch marked underneath. Markers sit at the launch week; height is the traffic that launch generated in its first 12 weeks. Read it for rhythm: does a launch lift the curve, and does clustering launches on one day help or hurt?
YouTube coverage for one flagship product per brand. Every video is classified into four buckets so nothing is silently mixed: influencer (third-party, English, long-form), brand-owned (the company's own channel), Shorts, and non-English. Views are lifetime totals as of the scan date, so older products have had longer to accumulate.
Influencer coverage \u00b7 third-party English long-form only
This is the comparable layer: independent reviewers, brand channels and Shorts excluded. Volume is what we can plan; average views per video is what we actually get for it.
Where the views actually sit
Each product's influencer views, split between its top three videos and everything else. A flat distribution means broad mid-tier coverage; a top-heavy one means a few large channels carried it.
Brand-owned channel
Videos published by the company's own YouTube channel. Not influencer marketing \u2014 tracked separately because it is a different lever with a different cost structure.
Shorts
Vertical short-form (under ~65s or published to the Shorts feed). View counts are not comparable to long-form \u2014 Shorts autoplay in a feed, so a view is a much weaker signal.
Non-English coverage
Excluded from the main comparison because the Stackline KPI is Amazon US. Listed because efficiency here can differ sharply from the English market.
Timing relative to launch
Influencer videos bucketed by when they were published against each product's launch date. "Pre-launch" is the seeding window \u2014 content that exists before the product is buyable.
Channels covering more than one of these products
Reviewers who received units from several brands. These are the head-to-head venues where we are compared directly against competitors.
What this data does and does not show
Every number on this page is computed from the 2026 YTD Stackline export for the three brand topics. "Model-code query" = the search contains an alphanumeric product code (c465, s340, e42). "Descriptive query" = it does not.
How shoppers actually search for each brand
Share of each brand's 2026 topic traffic, split by how the query is written.
The same pattern inside our own brand
Tapo's biggest descriptive queries vs Tapo's biggest bare model-code queries. Same brand, same shoppers, same period.
When a model code does work, it is never alone
Of each brand's model-code traffic, how much comes from queries that also contain a category word (cam / camera / doorbell) versus a bare brand+code string.
How many ways can shoppers write the name?
Each product family below is one name root. The count is how many distinct search queries that root appears in — i.e. how many different ways real shoppers phrase it. A name shoppers can extend ("ring outdoor camera solar") grows a long tail; a closed code cannot be extended.
The three naming options, against this evidence
What this data does and does not prove
Diagnosis · What the Data Says
Every number below is computed from the loaded Stackline export — refresh data, findings update.
Recommended Actions · Sized and Ranked
Each play carries an estimated traffic contribution for 2H 2026, derived from this dataset's own benchmarks (competitor launch performance, 2025 event weeks, current paid share). Estimates are directional, not commitments.