Design a List Growth Popup

Full method. Works on any model.

You are a senior lifecycle and onsite conversion strategist who has built and A/B tested hundreds of ecommerce signup popups. Your job is to design a multi step list growth popup that maximizes qualified email and phone capture without suppressing submit rate, and to specify a first test.

CONTEXT YOU ARE GIVEN
→ Brand and products: {{BRAND_AND_PRODUCTS}}
→ Audience and what they browse for: {{AUDIENCE}}
→ Discount stance: {{DISCOUNT_STANCE}} (e.g. discounts freely / discounts only twice a year / never discounts)
→ Incentive you can offer: {{INCENTIVE}} (e.g. 20% off, free gift with purchase, monthly product giveaway, or a pure value tease)
→ Where this popup runs: {{PLACEMENT}} (sitewide, a specific landing page, or an ad driven page)
→ Mobile share of traffic: {{MOBILE_SHARE}}
→ Site background it appears over: {{SITE_BACKGROUND}} (light or dark, and the dominant color)
→ Zero party data that would actually change your marketing: {{USEFUL_DATA_POINTS}} (e.g. shopping for self vs a gift, style preference, allergy, pet type)
→ Email and SMS platform: {{PLATFORM}}
→ Current state: {{CURRENT_SETUP}} (the existing popup and its submit rate if you have one, plus rough monthly site traffic; write "new launch" if there is no popup yet)

If any of these are missing or vague, ask me clarifying questions one at a time until you have what you need, up to five, before designing. Do not invent a discount stance, an incentive, a performance baseline, or data points you cannot confirm.

METHOD (follow in order)
1. Set the goal. The metric is qualified subscribers who later convert, not raw signups. Reject any tactic that inflates list size while dragging deliverability. Partner giveaway style pooling is out: it grows lists fast but those subscribers convert poorly and unsubscribe at rates that damage sending reputation.

2. Structure the steps. Ask for a little at a time; every added field on a single screen lowers completion.
   → Step 1: email only, in exchange for the incentive. Deliver the offer here.
   → Step 2: after they have committed, ask for phone and SMS opt in with its OWN value hook (exclusive SMS only perks, first access to launches, early sale notice). Frame SMS as the personal channel, not a second promo firehose.
   → Step 3 (optional): one or two zero party questions from {{USEFUL_DATA_POINTS}}. Only ask what you will act on. Discard any question you cannot tie to a flow split, a segment, or a product recommendation.

3. Design the four levers for the unit, in impact order.
   → Offer (highest leverage): choose from percent or dollar discount, free gift with purchase, a monthly product giveaway for no discount brands, or a value tease with no code. Match it to {{DISCOUNT_STANCE}}.
   → Messaging: speak the audience's language and reference what they browse for. Avoid generic copy identical to every other store. No discount brands can hint at value (bundle savings, a how to) without a code.
   → Design: clean and scannable, mobile first (mobile is often the majority of traffic). Never design in a vacuum; check contrast against {{SITE_BACKGROUND}} so the unit stands out rather than disappears.
   → Display trigger: choose on load, exit intent, time delay, or scroll percentage. Sensible default is exit intent on desktop and a roughly 5 second delay on mobile. Do not fire an email for discount popup at a brand new visitor within the first few seconds before they know what you sell.

4. Specify how each captured data point gets used, so nothing collected is wasted: phone unlocks SMS touchpoints in flows; each zero party answer maps to a flow split, a segment, or a personalized recommendation.

5. Write the first A/B test. Test ONE variable at a time (usually offer, design, or display trigger, since those move submit rate most). If {{CURRENT_SETUP}} includes an existing popup, it is the control and its submit rate is the baseline; otherwise the new unit launches first and the test follows. Set run length from the traffic in {{CURRENT_SETUP}}: at least a full week, longer when traffic is low. State the variable, the two variants, the primary metric (submit rate), and the decision rule.

OUTPUT FORMAT
1. Recommended structure: a step by step breakdown (Step 1, 2, optional 3) with the exact ask, the value hook, and the field(s) per step.
2. Copy: headline, subhead, button label, and privacy or consent microcopy for each step. For SMS, include explicit marketing consent language.
3. Design and display notes: layout, mobile first considerations, contrast call against the site background, and the recommended trigger for desktop and mobile.
4. Data usage map: each captured field and exactly how it will be used.
5. First test plan: the one variable, both variants, run length, primary metric, and decision rule.
6. Self check.

SELF CHECK (include at the end)
→ Facts to verify: whether {{PLATFORM}} supports multi step popups and SMS opt in, that SMS collection captures explicit marketing consent (transactional consent does not permit marketing), and that every zero party question maps to a stated use.
→ Failure modes to avoid: asking for email and phone on one screen; collecting data you will never action; firing on load at first time visitors before they know the store; designing without checking contrast against the real site background; testing more than one variable at once; chasing raw list size over qualified subscribers.

For the most capable models. Goal and quality bar up front.

You are a senior lifecycle and onsite conversion strategist. Design a multi step list growth popup that maximizes qualified email and phone capture without suppressing submit rate, and specify a first A/B test.

Open with the recommended step structure and the single offer you would lead with, then supply the supporting detail below it.

Context:
→ Brand and products: {{BRAND_AND_PRODUCTS}}
→ Audience and what they browse for: {{AUDIENCE}}
→ Discount stance: {{DISCOUNT_STANCE}}
→ Incentive you can offer: {{INCENTIVE}}
→ Where this popup runs: {{PLACEMENT}}
→ Mobile share of traffic: {{MOBILE_SHARE}}
→ Site background it appears over: {{SITE_BACKGROUND}}
→ Zero party data that would change your marketing: {{USEFUL_DATA_POINTS}}
→ Email and SMS platform: {{PLATFORM}}
→ Current state: {{CURRENT_SETUP}}

Principles to hold:
→ Optimize for qualified subscribers who later convert, never raw list size. Reject giveaway style pooling; it inflates lists and wrecks deliverability.
→ Ask for a little at a time. Step 1 captures email alone for the incentive. Step 2, after commitment, asks for phone and SMS opt in with its own value hook. An optional Step 3 asks one or two zero party questions only if each maps to a flow split, a segment, or a recommendation.
→ Move the four levers in impact order: offer (match it to the discount stance), messaging (speak the audience's language, avoid generic copy), design (clean, mobile first, contrast checked against the real site background), display trigger (sensible default is exit intent on desktop and a roughly 5 second delay on mobile).
→ SMS collection must capture explicit marketing consent; transactional consent does not permit marketing.
→ The test isolates one variable (usually offer, design, or trigger), treats any existing popup as the control with its submit rate as baseline, runs at least a full week (longer at low traffic), and states a decision rule.

Excellent output satisfies all of these: email asked alone on step 1; phone and preferences deferred to steps that each carry their own hook; every captured field has a named downstream use; SMS consent language is explicit marketing consent; the test isolates one variable with a clear baseline and decision rule.

Do not invent a discount stance, an incentive, a performance baseline, or data points you cannot confirm. Do not pad with generic advice. If a required input is missing or vague, ask one focused question instead of guessing.

Five lines. Speed over rigor.

Design a multi step signup popup for {{BRAND_AND_PRODUCTS}}, audience {{AUDIENCE}}, offering {{INCENTIVE}} and running on {{PLACEMENT}}.
Step 1 asks email alone for the offer; step 2 asks phone and SMS opt in with its own value hook; an optional step 3 asks one zero party question from {{USEFUL_DATA_POINTS}} only if it drives a segment or flow.
Give me copy, the display trigger split by desktop versus mobile, and a one variable A/B test.
Quality bar: maximize qualified subscribers who later convert, not raw list size, and use explicit marketing consent language for SMS.