WorkPrompt
Ad Images

UGC Skincare Lifestyle Ad (Phone-Shot Authentic)

Polished studio ads get scrolled past — this prompt engineers the real-customer-photo cues (grain, mess, window light) that make feed audiences stop, while the quiet lower third leaves room for price stickers and captions.

Works withMidjourneyGemini Image (Nano Banana)
UGC Skincare Lifestyle Ad (Phone-Shot Authentic)

prompt

Generate a UGC-style lifestyle ad photo for {product_name}, a {product_type}. Scene: a hand holding the product toward the camera over a bright, slightly messy bathroom counter — morning window light, soft shadows, casual everyday energy. It should look like a phone photo a real customer posted: light grain, natural skin texture, shallow focus on the bottle with a generic label and no real brand marks. Add lived-in details such as {background_props}. Square 1:1 ratio for feed placement, keeping the lower third visually quiet so a caption sticker and price tag can be overlaid. Color grade leaning {color_mood}. Avoid studio-perfect lighting — believable imperfection is the entire point of this creative.

Variables


This prompt uses the variables below. Fill them in when you hit Copy — anything left blank keeps its {placeholder}.

{product_name}Product name
e.g. Glow Drop Serum
{product_type}Type of product
e.g. vitamin C facial serum
{background_props}Lived-in props in the background
e.g. a toothbrush cup, a folded towel and a hair scrunchie
{color_mood}Overall color grade direction
e.g. warm cream and soft peach

Use case


A skincare or beauty brand marketer who needs authentic-looking creatives for UGC-style paid social testing at volume.

How to use it


Fill four variables: {product_name} is the product (e.g. 'Glow Drop Serum'), {product_type} the category (e.g. 'vitamin C facial serum'), {background_props} the lived-in clutter on the counter (a toothbrush cup, a folded towel, a hair scrunchie), and {color_mood} the grade direction (e.g. 'warm cream and soft peach'). Run it on midjourney first — it is the strongest at the grainy, real-customer-photo texture this creative depends on. Gemini-image works too but tends to over-clean the shot, so add 'keep the grain and the slight mess' if you use it. Neither model spells real text reliably, which is exactly why the lower third is left quiet — bring the result into Canva afterwards and layer your price tag and caption sticker on top. Generate a small batch and pick the most believable frame for your A/B test.

Why it works


The whole design is anti-studio: it strips out every cue that screams 'ad' — demanding grain, natural skin texture, shallow focus, soft morning shadows, even a 'slightly messy counter' — because feeds and human eyes both flinch at compositions that are too perfect. Asking for a 'generic label with no real brand marks' does double duty: it dodges trademark trouble and lets one template carry any product. The load-bearing line is 'keep the lower third visually quiet' — that is not an aesthetic note but a layer reservation. Since the model cannot be trusted to render legible text, the prompt clears that zone so you can drop a crisp price and call-to-action on later, rather than gambling on a misspelled caption baked into the image.

Tips & variations


  • For a vertical story, change 'square 1:1' to '9:16 portrait' and split the quiet zone into a top and a bottom band so a headline sits up top and a swipe-up arrow at the bottom.
  • {background_props} drives believability: 'a half-open makeup bag, a used cotton pad, a phone left face-down' reads more like a real snapshot than tidy props; for a clean Japanese look, swap in 'a small potted plant and one plain towel'.
  • {color_mood} is your emotional dial — 'cool morning light, pale blue-grey' signals clean clinical care, while 'warm amber, sunset gold' signals rich repair; run one of each for the same product and test which gets the higher click rate.
  • Midjourney occasionally mangles the hand — pick the frame with natural fingers, or add 'only one relaxed hand in frame, fingers loose' to the prompt to cut the failure rate.

Recommended tools


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