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Beauty stores lose 82 out of every 100 visitors because shoppers aren't sure a product will work for their skin. Zipchat acts as an on-demand skincare consultant.
No credit card required · Setup in 2 minutes
Trusted by Beauty & Skincare brands worldwide
Beauty carts abandon at 82.51%, the highest of any ecommerce vertical. The cause is not price or shipping. It is "I don't know if this will work for my skin." A shopper with fragrance sensitivity or acne-prone skin needs to know exactly what's in the formula. If that question isn't answered immediately, they leave.
Zipchat replicates the in-store beauty consultation that independent DTC brands cannot staff at scale. The AI asks intake questions about skin type, primary concern, current routine, and sensitivities, then cross-references your catalog to recommend two or three products with clear explanations. A K-beauty brand using Zipchat sustained a 25.1% chat-to-purchase conversion rate across 53,700 conversations, more than 8x the ecommerce average of 2-3%. Post-purchase, Zipchat builds loyalty through proactive guidance. A customer who bought retinol for the first time needs onboarding context or she'll stop using it and return the product. A Zipchat WhatsApp message sent 3-4 days after purchase prevents that return and seeds a repeat-purchase cycle.
Capabilities tuned for beauty & skincare brands.
The AI asks about skin type, primary concern, and current routine before recommending anything. A shopper with oily, acne-prone skin gets a different answer than one with dry, sensitive skin, because Zipchat reads your actual catalog, not a generic database.
Beauty shoppers research at night and on weekends. Zipchat handles skin consultations, ingredient questions, and shade guidance at any hour, without a human consultant on staff.
Beauty DTC brands attract international audiences. Zipchat answers ingredient, routine, and shade questions in 95+ languages, so a Spanish-speaking shopper receives the same consultation quality as an English-speaking one.
When a customer reports a skin reaction or asks a question requiring human response, Zipchat escalates immediately with the full conversation history visible to your team.
Zipchat tracks which products generate the most uncertainty, which ingredients shoppers ask about most, and where in the buying journey shoppers drop off. That data informs catalog descriptions and product development priorities.
Beauty's 82.51% abandonment rate reflects purchase uncertainty, not disinterest. Zipchat resolves the skin type matching question in real time, converting browsers who are already interested but hesitant.
COMMON CHALLENGES
82% of shoppers abandon without buying
Zipchat conducts a conversational skin intake and recommends specific products from your catalog, converting that uncertainty into a purchase in the same session.
Ingredient anxiety blocks purchase
Zipchat reads your product ingredient lists and answers "is this fragrance-free?" and "does this contain parabens?" accurately and instantly from your catalog data.
Wrong shade recommendations damage trust
Zipchat handles shade guidance conversationally, using descriptors the shopper already knows and cross-referencing them against your brand's own shade descriptions.
BEFORE VS. AFTER
| Without Zipchat | With Zipchat |
|---|---|
| 82% of visitors leave without buying | Skin-match consultation converts hesitant browsers |
| Ingredient questions drive shoppers to Google | Ingredient accuracy from your catalog data, answered instantly |
| Wrong shade recommendations create costly returns | Shade matching from the shopper's own descriptors |
| Post-purchase abandonment after first retinol use | WhatsApp onboarding reduces returns and seeds repeat purchase |
| Support overwhelmed with "will this work for me?" | 60-80% of routine queries deflected automatically |
| No data on which products generate most uncertainty | Chat data shows exactly where catalog descriptions fall short |
Build loyalty after purchase with WhatsApp
13-39% cart recovery rate
GETTING STARTED
No ticket history required. No cold start. Connect your store and go.
Link Shopify, WooCommerce, or Wix in one click. Zipchat immediately begins reading your product catalog, ingredient lists, and formulation notes.
Zipchat reads your products, policies, and FAQs automatically. No manual data entry. The AI knows your formulations, shade ranges, and skin-type guidance from day one.
Set your brand tone, approved claim language, and escalation rules. Configure post-purchase WhatsApp triggers for onboarding and replenishment.
Activate on website chat, WhatsApp, or both. Your AI agent starts conducting skin consultations, answering ingredient questions, and recovering abandoned carts immediately.
PRICING
All plans include AI agent, human escalation, and multilingual. Growth+ includes WhatsApp AI and cart recovery. See full pricing →
Yes. Zipchat conducts a conversational skin intake, asking about skin type, primary concern, current routine, and known sensitivities, then recommends specific products from your catalog with explanations for each choice. The recommendation pulls from your product data, not a generic database, so the advice is accurate to your specific formulations.
Zipchat reads your product ingredient lists to answer "is this fragrance-free?", "does this contain parabens?", and "what percentage of niacinamide is in this?" accurately, in real time. The AI pulls from your catalog data. For questions that approach medical territory, Zipchat includes a standard redirect to a healthcare provider, keeping responses both accurate and compliant.
Zipchat handles shade guidance conversationally, using descriptors the shopper already knows ("I'm NC20 in MAC," "warm olive undertone") and cross-referencing them against your brand's shade descriptions. The AI explains which of your shades best matches that profile and why, reducing the uncertainty that prevents purchase and cutting returns from wrong shade selection.
After recommending a hero product, Zipchat introduces complementary products from your catalog that address the same skin goal — a cleanser, a serum, and an SPF for a shopper focused on brightening. Each step is explained in relation to the shopper's stated concern. Routine-building conversations typically add 2-3 products to a single session, increasing average order value without promotional pressure.
Beauty AI agents must stay within cosmetic claim language and never make drug claims. Saying a product "may help reduce the appearance of redness" is compliant; saying it "treats rosacea" is not. Zipchat is trained to stay within your brand's approved claim framework and pulls only from your verified product data for ingredient accuracy.
The 82.51% abandonment rate in beauty reflects a single core problem — shoppers cannot test products on their skin before buying. An AI agent that answers "will this work for my skin type?" in the same session converts that research intent into a purchase. AI-assisted beauty shoppers convert at 12.3% versus 3.1% for unassisted visitors (Alhena AI, 2024).
HONEST TAKE
Zipchat is a great fit if…
It may not be the right fit if…
