Real estate advertising runs on one principle: hyper-local relevance. A buyer searching for "homes for sale in Brookline" doesn't want a generic brokerage ad — they want to see Brookline listings, Brookline pricing, and a Brookline-specialist agent. Surface's lead data makes this level of specificity possible at scale.

How Surface data improves real estate ads

Buyer persona ads from form data

Your qualification forms capture what buyers are looking for: property type, budget, timeline, and neighborhood preferences. This data reveals buyer personas that should drive ad targeting.

Geo-targeted campaigns with dynamic content

Surface captures the zip codes and neighborhoods buyers are interested in. Use this to build dynamic ad campaigns: the ad headline includes the specific area, the landing page shows relevant listings, and the form pre-selects the neighborhood — all driven by the buyer's stated interest.

Seller acquisition ads

The most valuable real estate leads are sellers. Surface's seller intake data reveals which neighborhoods have the most seller inquiries — indicating demand for listings. Target homeowners in those zip codes with ads like "Homes in [neighborhood] are selling 15% above asking. What's yours worth?" leading to a seller valuation form.

Retargeting and ROI tracking

Retarget form abandoners with property-type-specific creative. Track the full journey from ad click → form → agent conversation → closed transaction for true cost-per-acquisition by campaign and area.

Build guide summary

1. Analyze buyer form data to define 3–4 buyer personas for targeting

2. Build geo-specific landing pages with pre-filled neighborhood forms

3. Create seller acquisition campaigns based on high-demand zip codes from intake data

4. Set up retargeting for abandoned buyer/seller forms

5. Track ad spend through to closed transactions

Build hyper-local real estate ad campaigns powered by lead data. Start building on Surface.

How to Build Ad Generation for Insurance on Surface

Insurance advertising suffers from a specificity problem. Prospects searching for "car insurance quotes" see generic brand ads from GEICO, Progressive, and State Farm — and local agencies can't compete on brand spend. The advantage for independent agents: specificity. Surface's quote data lets you build ads so targeted that they outperform generic brand campaigns in local markets.

How Surface data improves insurance ads

Quote-to-ad feedback loops

Surface captures which coverage types are most requested by region, which risk profiles are most common, and which quotes actually bind (convert to policies). This data creates a feedback loop:

Most-requested coverage in your zip codes → ad messaging that addresses the specific coverage people are searching for → landing pages with forms pre-configured for that coverage type → tracking from quote to bound policy to identify which ad campaigns produce revenue, not just leads.

Life event targeting

Insurance needs are triggered by life events: new home, new baby, new car, retirement, marriage. Surface forms capture these triggers ("What prompted you to seek coverage?"). The aggregated data reveals which life events drive the most quotes in your market — and that intelligence shapes your ad targeting.

Seasonal campaigns

Insurance risk is seasonal. Surface's historical quote data shows when specific coverage types spike — hurricane season for flood/wind coverage, winter for auto coverage in northern states, spring for motorcycle/boat insurance. Auto-trigger seasonal ad campaigns based on calendar events and historical demand patterns.

Abandoned quote retargeting

Insurance quotes have high abandonment — the form is long and the questions are detailed. Retarget abandoners with simplified messaging: "You were 2 minutes from your quote. Pick up where you left off." Include the coverage type they were quoting in the ad creative for relevance.

Build guide summary

1. Analyze bound-policy data to identify highest-ROI coverage types by region

2. Build life-event-targeted ad campaigns from form response patterns

3. Create seasonal campaign calendars triggered by historical quote demand

4. Set up abandoned quote retargeting with coverage-specific creative

5. Track from ad click → quote → bound policy for true cost per acquisition

Build insurance ad campaigns that learn from your quote data. Start building on Surface.

How to Build Ad Generation for Home Services on Surface

Home services advertising is dominated by lead aggregators (Angi, HomeAdvisor, Thumbtack) that sell the same lead to 3–5 contractors simultaneously. The winning move: build direct lead generation that's so fast and specific that prospects don't need the aggregator. Surface's job request data makes your ads more targeted than any aggregator can match.

How Surface data improves home services ads

Service-specific ads from job request data

Your job request forms capture exactly what services are most requested in your area. Surface's data reveals seasonal demand patterns, average job values, and which services have the highest conversion from request to booked job.

Before/after project ads

Home services is visual. Surface can trigger a review + photo request after job completion. The resulting before/after galleries — pulled from real completed jobs — become ad creative that outperforms stock imagery because it's authentic and local.

Weather-triggered campaigns

Surface's historical job data shows which weather events drive which service requests. Connect this to weather APIs and pre-deploy ads when conditions match: storm damage repair after severe weather, frozen pipe service when temperatures drop below freezing, roof inspection after hail events.

Service-area ads with dynamic pricing

Different zip codes have different competitive landscapes and job values. Surface's data by zip code lets you bid strategically — higher in areas where your job value and close rate are highest, lower in areas where competitors dominate and margins are thin.

Build guide summary

1. Analyze job request data for seasonal patterns and highest-value services

2. Build service-specific landing pages with pre-configured intake forms

3. Create before/after ad creative from completed job photos

4. Set up weather-triggered campaign activation

5. Allocate budget by zip code based on historical close rates and job values

Build home services ads powered by real job data. Start building on Surface.

How to Build Ad Generation for SaaS / B2B Tech on Surface

SaaS advertising burns budget on awareness when it should optimize for pipeline. The gap: ad platforms optimize for clicks and form fills. Your business optimizes for meetings and revenue. Surface bridges that gap by connecting your demo request and trial data directly to your ad strategy.

How Surface data improves SaaS ads

ABM campaigns from high-intent form data

Surface captures structured data from every demo request: company name, size, industry, use case, and competitive context ("which tools are you currently using?"). This creates a real-time ABM target list — companies that have shown intent but haven't converted yet.

Upload these companies to LinkedIn and Google Ads as matched audiences. Run targeted ads to other stakeholders at the same company: "Your colleague Sarah requested a demo of Surface. Here's why teams at [similar companies] are switching."

Competitor comparison ads

If your demo request form asks "What tools are you currently using?" or "What are you looking to replace?", you have competitive intelligence data. Use it to build competitor-specific ad campaigns.

Feature-specific retargeting

Surface tracks which product pages drove form submissions. A lead who viewed the routing features page and then submitted a demo request has different interests than one who viewed the form builder page. Retargeting creative should match: routing-focused messaging for routing-page visitors, form-builder messaging for form-page visitors.

Event and webinar promotion

Surface forms can be configured as event registration pages. The registration data (title, company size, interest area) feeds back into ad targeting — so your next webinar promotion targets people who match the profile of your highest-converting registrants.

Build guide summary

1. Build ABM target lists from demo request form data

2. Create competitor-specific ad campaigns from "current tools" form field data

3. Set up feature-specific retargeting based on product page → form submission paths

4. Connect event registration forms to lookalike audience generation

5. Track from ad click → demo → pipeline → closed-won for full-funnel ROI

Build SaaS ad campaigns that optimize for pipeline, not clicks. Start building on Surface.