Install
openclaw skills install product-namingTest product names and listing titles for TikTok Shop conversion potential before going live by scoring hook strength, search fit, and compliance risk.
openclaw skills install product-namingTest product names and listing titles for TikTok Shop conversion potential before going live by scoring hook strength, search fit, and compliance risk. This skill evaluates candidate names against a multi-factor scoring framework and prescribes the optimal name with a clear rationale — reducing the guesswork that costs brands rankings and ad spend.
| Decision | Strong | Acceptable | Weak |
|---|---|---|---|
| Hook strength | Creates immediate curiosity or desire in 3 sec | Clear benefit, moderate appeal | Neutral or descriptive only |
| Search fit | Matches top 3 organic search queries exactly | Matches with 1–2 word overlap | No match to search queries |
| Character count (TikTok visible) | 28–34 chars (fills visible field) | 20–28 chars | <20 or >34 (truncated) |
| Compliance risk | Zero flags across all applicable rules | 1 low-risk flag, easily resolved | 1+ high-risk flag |
| Brand fit | Consistent with brand voice + differentiated | Consistent with brand voice | Generic, indistinguishable |
| Memorability | Unique hook phrase buyers recall and search for | Descriptive but clear | Forgettable |
| Emotional trigger | Joy, aspiration, or relief clearly evoked | Mild positive emotion | Neutral, no emotion |
Collect:
Identify the exact phrases buyers use when they search for this type of product:
These three elements form the keyword skeleton the product name must accommodate.
Run each candidate name through the scoring matrix:
| Criterion | Weight | Score (1–5) | Weighted score |
|---|---|---|---|
| Hook strength (scroll-stop appeal) | 25% | ||
| Search fit (keyword match) | 25% | ||
| Compliance risk (inverted — 5 = clean) | 20% | ||
| Character efficiency (TikTok 34-char budget) | 15% | ||
| Memorability / distinctiveness | 10% | ||
| Brand voice fit | 5% | ||
| Total | 100% |
Minimum passing score: 3.5 / 5.0 weighted average Recommended score before launch: 4.0+
Use these generative frameworks:
| Framework | Formula | Example |
|---|---|---|
| Outcome-first | [Desired result] + [Product type] | "Glow Boost Vitamin C Serum" |
| Problem-solver | [Problem] + [Fix] | "Frizz Tamer Hair Oil" |
| Ingredient hero | [Key ingredient] + [Function] | "Niacinamide Pore Minimizer" |
| Experience | [Sensory/emotional hook] + [Type] | "Cloud Sleep Eye Mask" |
| Specificity | [Precise claim] + [Category] | "72-Hour Hold Setting Spray" |
| Audience tag | [Who it's for] + [What it does] | "Sensitive Skin SPF 50 Daily Fluid" |
Generate 3–5 alternatives using different frameworks, then score each.
Run each finalist name through this compliance checklist:
TikTok Shop compliance:
Amazon compliance:
General compliance:
Output format (see output template):
Candidate names scored:
| Name | Hook | Search fit | Compliance | Chars | Memorability | Brand fit | Total |
|---|---|---|---|---|---|---|---|
| Vitamin C Serum 20% | 1 | 5 | 5 | 3 | 1 | 3 | 3.15 |
| Glow Boost Vitamin C Serum | 4 | 4 | 5 | 4 | 4 | 4 | 4.15 ✅ |
| Brightening Vitamin C + HA Serum | 3 | 4 | 5 | 3 | 3 | 3 | 3.45 |
| Skin Glass Serum | 5 | 2 | 5 | 5 | 5 | 4 | 3.85 |
Recommendation: "Glow Boost Vitamin C Serum"
Rationale:
TikTok visible title (34 chars): "Glow Boost Vit C Serum 30ml" TikTok full title (255 chars): "Glow Boost Vitamin C Serum 20% with Hyaluronic Acid — Brightening Dark Spot Treatment for Face 30ml"
Competing candidate names:
Recommendation: "Quiet HEPA Air Purifier 500sqft" (Amazon title) / "Silent Room Purifier HEPA" (TikTok feed)
Rationale: "Quiet" is the top customer complaint about competitor purifiers — naming the product after the solved pain point pre-empts objections and matches long-tail searches ("quiet air purifier for bedroom").