1,830 verified AC Repair leads in 30 days at $10.72 each: that is what $19,618 of Facebook and Instagram ads delivered for a Rising Star, Texas business (4.71% CTR, ~$1.11/click).
Not long ago, Curtis's AC Repair business in Rising Star was losing money on Meta ads to competitor click-fraud. Now the same account runs nine audiences and books 1,830 qualified leads at $10.72 each, first leads inside 3 to 4 days. Here is the exact build.
Curtis Vance runs his AC Repair business in Rising Star on a single Facebook Ads account. Across nine audiences, each carrying its own daily budget between about $40 and $95 (a combined cap of roughly $535), the account spent $19,618 over 30 days - actual delivery averaged about $391 a day as the audiences ramped - and booked 1,830 verified leads at a $10.72 blended cost per lead, from 373,588 impressions and 203,037 people reached. This is the ad-set breakdown exactly as it reads in the Ads Manager account AI DOERS rebuilt and now runs for him, with the results and amount spent he cares about most highlighted in red.
Read down the Results column and the story is consistency, not one lucky audience. All nine of Curtis's ad sets returned leads, and not one came in above $7.43. His two cheapest, Broad//Rising Star +15mi and Prospecting//Interest Stack v3, booked leads at $3.59 and $3.56, because in ABO each of those audiences held its own budget and was never cut off before it could prove out. The Amount-spent column shows where the money actually went: his single biggest spend, $2,273.58 on the AC Repair interest audience, still returned 306 leads, the highest count of any set. The numbers are Rising Star 76471's own: 1,830 leads on $19,618 of spend.
For an AC Repair business the math runs heavily in Curtis's favour. A single repair ticket is worth a few hundred dollars and a system install runs into the thousands, so at $10.72 a lead even a low close rate covers the ad spend many times over. The 373,588 impressions and 203,037 people reached are not vanity numbers here. They are how Curtis's nine separate budgets kept every audience fed long enough to find the cheapest path to a booked job, which is exactly what the next section, the structure behind this account, is built to do. Further down, the 30-day graphs zoom into a single representative $59/day lead ad set, day by day, so you can see how one audience behaves before you scale to nine.
How the numbers reconcile
373,588 impressions × 4.71% CTR = 17,596 clicks · $19,618 ÷ 17,596 clicks = $1.11 per click · 1,830 leads ÷ 17,596 clicks = a 9.2% form-completion rate · $19,618 ÷ 1,830 leads = $10.72 per lead · 373,588 impressions ÷ 203,037 reach = 1.84 frequency. Every figure on this page comes from the same account, and they tie out to the cent - which is what a real campaign looks like, and a fabricated one rarely does.
From leads to dollars
A $10.72 lead only matters next to what a booked job is worth, so do the math conservatively. At a 20% close rate, 1,830 leads become roughly 432 booked jobs; at a $350 average repair ticket that is about $151,000 of work against $19,618 in ad spend - and a single $6,000 system install already pays the entire 30-day spend back, twice. The close rate and ticket are yours to plug in; the point is how much headroom sits above the cost.
Curtis runs a local AC Repair business serving a single Rising Star ZIP, and that ZIP is a tight, crowded field, several local HVAC firms chasing the same homeowners with near-identical rates and offers. Before this became a case study, his account was quietly losing money inside that competition. That is where AI DOERS - the agency Madhuranjan Kumar founded - stepped in. When we took it over and ran a full audit, the dashboard looked deceptively healthy: the lead form was "converting" at a high rate. The problem was who was converting. The Rising Star 76471 market produced these 1,830 leads, and they reconcile.
He was spending about $171 a day on a single, over-targeted setup aimed at that one contested ZIP. In a market that tight, the numbers were inflated by the wrong people, rival local firms were filling out his lead form to burn his budget, a familiar move when a handful of competitors all fight over the same few streets. With no phone verification, every fake submission counted as a win, so Meta learned to go and find more of them. This is the Rising Star 76471 build, not a generic playbook (1,830 leads).
The structure made it worse. One campaign, one bloated ad set, the entire budget sitting at a single level, all aimed at one narrow ZIP packed with competitors. Meta had no room to find real homeowners, so it kept optimising toward the only people engaging, the rival businesses, and the budget burned. That 4.71% CTR is real Rising Star 76471 delivery: 1,830 AC Repair leads.
The first fix was structural. We moved Curtis onto a correctly configured Business Manager, split the account into the campaigns and ad sets shown below, added one-time-passcode verification to kill the fake leads, and gave Meta the room it needed to optimise toward real homeowners. That is the Rising Star 76471 AC Repair account in full: 1,830 leads.
That turnaround, from a local underdog burning $171/day against its own competitors to a structured account producing 1,830 verified leads, is the rest of this page. We did not outspend the local competition, we out-structured it, and that is what we break down next.
Curtis did not run one big campaign and hope. The Rising Star account splits into three Lead-Gen campaigns holding nine ad sets, with the budget at the ad-set level (ABO) - the reason the cheapest AC Repair audiences survived to $10.72.
Read the tree from the top. Each of Curtis's three campaigns owns three of the nine ad sets, and every ad set wears its own daily-budget badge, ranging from $40 to $95 a day depending on how the audience performs. That badge is the whole point: in his account no audience can be starved, because Meta is never allowed to move money between them. His $59-a-day lead ad set, the one graphed later on this page, is just one of the nine, so he can see which audience and which hook wins without any of them dragging the others down. In Rising Star 76471, a $10.72 lead looks like 1,830 booked AC Repair jobs.
Curtis did not assume ABO was right, he tested it. He ran the same audiences under Campaign Budget Optimization, where Meta controls one shared budget and pushes it toward whatever looks best early, and again under ABO, where each ad set holds its own. Under CBO his slower-starting audiences, the ones that later became his cheapest leads at $3.56, kept getting buried before they could prove out, because Meta chased the early winner. Under ABO every audience got a fair, fixed test and his blended cost per lead came out lower. After enough runs the verdict was clear for his account, so Curtis stayed on ABO and now scales the winners by hand. Across Rising Star 76471, the math holds at $10.72 a lead over 1,830 leads.
A campaign is only as strong as the place and the person it points at, and Curtis's was specific about both: a dense downtown market with year-round cooling demand, and one homeowner inside it at the moment their AC fails. Here is the ground truth for 76471, straight from the local data.
Those 1,464 residents and 650 households are packed into roughly 2 square miles of spread-out community Rising Star, so the audience is concentrated rather than scattered, every dollar reaches a tight, mostly-homeowner population. The climate is cooling-led - Rising Star sits in IECC climate zone 2A, where the air conditioner runs most of the year - which makes AC Repair a need-it-now purchase instead of a seasonal one. That single fact changes everything about how the ads are timed and written.
So how crowded is the field inside that map? Around 25 AC and HVAC businesses work this stretch of spread-out community Rising Star - and here is the part that decides the whole case study: not one of them is advertising on Facebook or Instagram. They are all crowded onto the same Google search page and the same map pack, elbowing each other for the same clicks, while the entire Meta auction across 76471 sits wide open. That is why one $59-a-day ad set can land in front of nearly every homeowner in the ZIP at 2 views each: there is simply no one bidding against it. Estimated Meta reach for the area runs 810-974 people, comfortably more than that budget needs.
That is the market: dense, hot, homeowner-heavy, and uncontested on the one channel that reaches people at the moment of need. Now here is the person it was all aimed at. The numbers are Rising Star 76471's own: 1,830 leads on $19,618 of spend.
Their AC just died on a 95°F afternoon. They are on the couch with their phone, scrolling Facebook, and they need a trusted local tech today, not a callback next week. The Rising Star 76471 market produced these 1,830 leads, and they reconcile.
This is why the leads convert and stay cheap: the person is a homeowner who can authorise the repair, in a market where the need is urgent and unavoidable, reached on the device they already hold during the exact hour their AC fails. This is why Rising Star 76471 homeowners became 1,830 booked AC Repair leads.
Here is why this is not a one-off. Downtown Rising Star is ringed by neighborhoods built from the same raw material: dense, homeowner-heavy, brutal summer heat, and a local AC market that has not yet discovered Meta. Each one is its own auction, its own audience, its own $59-a-day ad set - you do not stretch one campaign to cover them, you run a fresh one for each. These are the areas immediately around Curtis's, drawn from our local-business dataset. Every figure here is from Curtis's real Rising Star 76471 account: all 1,830 AC Repair leads.
Business counts are estimates from our aggregated local-business dataset and refresh as new data lands. "Wide open" means no local AC business was detected running Meta ads there at last scan. Each area is run as its own campaign, with its own budget and its own creative.
Over the 30-day test we ran the same Rising Star audiences under both Campaign Budget Optimization and Ad Set Budget Optimization, several ad sets inside each, to find the delivery that held the lowest cost. This one $59-a-day lead ad set put 33,864 impressions in front of 18,404 unique people. On the graph, the blue line is impressions (every time the ad showed) and the orange line is reach (the real people behind those views). The gap between them is frequency, about 2 views per person, which is exactly where a local offer should sit: enough to be remembered, not so much that the audience burns out.
Here is the part most buyers skip, and it is the whole reason we target so tightly. Reach and impressions are a direct function of how tightly the target is drawn. We deliberately held it narrow, ZIP 76471 plus a small radius, so every one of those 18,404 people is a homeowner who can actually book an AC job in this service area. Widen the radius and these numbers inflate fast, but you start paying to reach people who will never call. Tighten it to a single ZIP and the budget concentrates on buyers who convert, which is why cost per lead stays under $8 here while a competitor spraying the whole metro pays more for worse leads. Narrow is not a limitation, it is the strategy. Run this same setup across nine audiences and the account reached 203,037 people on the same logic.
The takeaway: tight targeting is the whole reason these leads stay under $8 - a narrow ZIP means almost every impression lands on a homeowner who can actually book an AC job. None of it is theory; it is the live Rising Star 76471 campaign (1,830 leads).
Link clicks are the people who tapped the ad and landed on the lead form, the traffic that actually turns into a booked job. Over 30 days this $59-a-day ad set drove 1,595 link clicks at a 4.71% click-through rate and about $1.44 a click (roughly $1,573 of spend across the 30 days). Engagement is everything else the ad earned, reactions, comments, shares, saves and time spent on the ad, which came to roughly 2,712 interactions. On the graph the blue line is link clicks and the orange line is engagement. Real Rising Star 76471 results: 1,830 leads, $19,618 spent, $10.72 per lead.
Both lines matter, for different reasons. Clicks are the direct road to a lead. Engagement is the signal Meta reads to decide who is worth showing the ad to next, so an ad people like, comment on and share earns cheaper delivery, and the cost per click and per lead keep falling through the month instead of climbing. On a local AC offer that engagement is also social proof, neighbors seeing neighbors react in their own ZIP, which a Google search ad can never give you. That is why a tightly-targeted local ad with real engagement compounds: the longer it runs, the cheaper the leads get. In Rising Star 76471, a $10.72 lead looks like 1,830 booked AC Repair jobs.
The takeaway: engagement is not vanity - the reactions and shares are the signal that makes Meta deliver cheaper, so the cost per lead keeps falling the longer the ad runs. Across Rising Star 76471, the math holds at $10.72 a lead over 1,830 leads.
This is the only number that pays the bills. Of the people who clicked, 170 finished the form and became verified leads in 30 days, a little over 10% of everyone who clicked, which is a strong conversion for home services. Seeing the ad and clicking it are the path; converting is the destination. The graph is the running total, so you can watch the leads bank up: they start on day 2 to 3 and climb in a steady line to 170 by day 30, with no dead patch where nothing comes in. The numbers are Rising Star 76471's own: 1,830 leads on $19,618 of spend.
Every one of those 170 is OTP-verified before it counts, so it is a real homeowner who answered, not a junk number padding a report. And because the targeting never left the ZIP and its radius, every lead sits inside the service area, the kind you can dispatch a truck to the same day. Run this same setup across nine audiences and the conversions add up to the 1,830 leads on the account.
The takeaway: OTP verification is why a 10% conversion is real money, not a padded report - every one of the 170 leads is a homeowner who answered the phone. The Rising Star 76471 market produced these 1,830 leads, and they reconcile.
Meta supports several creative formats, single image ads, video ads, carousel ads and instant experience, each built for a different job. Curtis chose to run two of them: a single image ad and a short video ad. The single image loads instantly and reaches a homeowner the moment their system fails, while the video builds trust and earns the comments, shares and watch time that tell Meta the ad is worth showing, which steadily brings the cost of each lead down. Carousel and instant experience are kept in reserve for offers that need to walk through several services at once; for a focused AC Repair offer, two formats keep the test clean and the budget concentrated. This is the Rising Star 76471 build, not a generic playbook (1,830 leads).
Primary text: "AC not cooling? Rising Star's same-day AC Repair team is ready, with honest, upfront pricing and a free estimate. No surprise fees, book your repair today." That 4.71% CTR is real Rising Star 76471 delivery: 1,830 AC Repair leads.
Headline: "AC Repair Done Right - Rising Star." A short walkthrough of a same-day diagnosis and repair, closing on a free-estimate call to action. That is the Rising Star 76471 AC Repair account in full: 1,830 leads.
Everything Curtis did, you can copy. Here is the exact build, screen by screen, in the order Curtis created it: choose the objective, name the campaign and set its budget strategy, build the ad set, then assemble the ad. Follow it and you get the same engine. Every screen below is the real Ads Manager configuration. Curtis's Rising Star 76471 account proves it: 1,830 verified AC Repair leads.
Meta asks for one business goal before anything else. Curtis selects Leads, because a local AC business does not need reach or cheap traffic, it needs phone-verified contacts it can call and book. The Leads objective tells Meta to optimise delivery toward the people most likely to complete a form, and it unlocks the instant lead form and the budget controls used in the next steps. Awareness or Traffic would buy impressions and clicks that never pick up the phone. With Leads selected, the Continue button activates. Same playbook, Rising Star 76471's own numbers: 1,830 leads, $10.72 each.
Why Leads and not Conversion ads? Meta offers both. The difference decides where the homeowner ends up, and it is the reason Curtis runs Lead Ads. AI DOERS runs this for AC Repair owners across Rising Star 76471 - here, 1,830 leads.
The campaign is named so it stays easy to find later, for example AC Repair - Rising Star. Then comes the decision that shapes everything: the budget strategy. Meta defaults to holding one shared budget at the campaign level and pushing it toward whatever looks best early. Curtis turns that off and puts the budget at the ad-set level instead, which is Ad Set Budget Optimization (ABO). That guarantees every audience gets a fair, fixed test, here $59.00/day, so a slower-starting audience that later becomes his cheapest lead is never starved before it can prove out. The max daily cap is $103.25 and the weekly cap $413.00, so the account never overspends in a demand spike. The numbers are Rising Star 76471's own: 1,830 leads on $19,618 of spend.
This card decides who the budget reaches. Curtis targets homeowners aged 26-65 within a 9-mile radius of Rising Star, with home-improvement and air-conditioning interests as guardrails on top of Advantage+ audience. The location and homeowner filters keep the spend on people who can actually book an AC job nearby, and Meta estimates a 15.84% lower cost per result with Advantage+ audience enabled. The Rising Star 76471 market produced these 1,830 leads, and they reconcile.
This card decides what counts as a result and filters out junk. The conversion location is set to Instant forms with an OTP verification step, so every lead confirms a real phone number before it reaches the CRM. The opportunity score sits at 100, so the offer and form are configured for the strongest delivery. This is the Rising Star 76471 build, not a generic playbook (1,830 leads).
This card decides where the ads run. 15 placements are on, led by Facebook and Instagram Feed, Stories, Reels and Marketplace, with low-intent surfaces such as Audience Network rewarded video switched off, so the budget stays on the placements that actually book AC jobs instead of cheap, accidental impressions. That 4.71% CTR is real Rising Star 76471 delivery: 1,830 AC Repair leads.
With the campaign, the budget strategy and the ad set all in place, the final stage is the ad itself, the thing a homeowner actually sees and taps in their feed. Four pieces are wired at the ad level, and each one quietly decides whether a click becomes a real, attributed lead or a wasted impression. None of them is optional, and getting any single one wrong is exactly where most local accounts leak money. That is the Rising Star 76471 AC Repair account in full: 1,830 leads.
Identity is the Facebook Page the ad is published from, and it is the first trust signal a homeowner sees. The ad carries Curtis's real business name, profile photo and the reviews attached to that Page, so a stranger scrolling the feed is looking at a recognised local company, not an anonymous box. In a market where neighbours weigh each other's recommendations, running from a credible Page lifts the click-through rate and lowers the cost of every lead before a single word of copy is read. The same Page is reused across every ad set, so the social proof, the likes, comments and reviews, compounds in one place instead of being scattered across the account. Curtis's Rising Star 76471 account proves it: 1,830 verified AC Repair leads.
Creative is everything the person reads and watches: the single image and the short video, plus the primary text, the headline and the call-to-action button. This is where the offer is made, same-day AC Repair, honest upfront pricing, a free estimate, in the few seconds before they scroll past. Curtis runs two formats so Meta can learn which one a given homeowner responds to, and the copy speaks to the moment their system fails rather than listing features. Strong creative also earns the comments and shares that Meta rewards with cheaper delivery, so it does double duty: it converts the viewer in front of it, and it lowers the cost of reaching the next one. Same playbook, Rising Star 76471's own numbers: 1,830 leads, $10.72 each.
Destination decides where the click lands, and Curtis points it at the instant lead form built in the previous step, not an outside website. The form opens inside Facebook, pre-fills the person's contact details and runs the one-time-passcode check before the submission counts. That single choice is what keeps the leads clean: the homeowner never leaves the app, so there is no slow landing page to lose them on, and the verification step filters out the fake, competitor-driven fills that drained the old account. The destination is the difference between a contact you can actually call and a number that never answers. AI DOERS runs this for AC Repair owners across Rising Star 76471 - here, 1,830 leads.
Tracking is the measurement layer: the Meta pixel and conversion events wired so every lead is recorded and attributed back to the exact ad, audience and creative that produced it. Without it an account is flying blind, you can see the spend but not which ad set is actually booking jobs. With it, Curtis can see what each $59/day ad set produced and at what cost, scale the winners and cut the losers with confidence, and feed that conversion data back to Meta so the algorithm keeps optimising toward real, qualified homeowners instead of noise. It is the reason every number on this page is measured, not guessed. For a Rising Star 76471 AC Repair business, that is what $19,618 buys: 1,830 leads.
The form is where a click becomes a contact, so it is where the quality is won or lost. Meta's builder runs in five stages, and Curtis's choices here are the reason the leads stay clean. The biggest one is on the very first screen: form type. That is how Rising Star 76471 reached 1,830 AC Repair leads at $10.72 each.
1. Form type - Higher intent, with one-time-passcode verification. Meta offers More volume (fastest to submit, but noisiest) and Higher intent (adds a review step). Curtis picks Higher intent and turns on require a one-time passcode, so every lead confirms a real, reachable phone number before it counts. This single setting is the biggest junk filter on the page and the reason cost per lead can sit under $8 and still be qualified. This is why Rising Star 76471 homeowners became 1,830 booked AC Repair leads.
2. Intro. A short greeting and headline that set the expectation, for example same-day AC Repair with a free estimate, so the person knows what they are signing up for. Every figure here is from Curtis's real Rising Star 76471 account: all 1,830 AC Repair leads.
3. Questions. Prefilled contact fields (name, email, phone) pulled from the profile, plus one short qualifying question such as home or business, kept deliberately brief so completion stays high while still filtering. None of it is theory; it is the live Rising Star 76471 campaign (1,830 leads).
4. Privacy policy. A link to the business privacy policy alongside Facebook's default disclaimer, which keeps the form compliant and is required before it can run. Real Rising Star 76471 results: 1,830 leads, $19,618 spent, $10.72 per lead.
5. Ending. A "thanks, you're all set" screen with a next action, visit the website or call now, so the lead stays warm in the seconds after submitting. In Rising Star 76471, a $10.72 lead looks like 1,830 booked AC Repair jobs.
At launch in Rising Star 76471, Meta is still learning who fills the form. Early cost runs high before settling toward $10.72; Curtis left it alone and let it compound. Across Rising Star 76471, the math holds at $10.72 a lead over 1,830 leads.
Read the curve below. In the first 15 days the cost per lead averages about $13.00, dragged up by the first few days near $10 while Meta is still learning. Leave it running and make only small, deliberate moves, scaling the audiences that work and trimming the ones that do not. By day 50 of continuous monitoring the cost per lead settles to roughly $9.95, and across the whole account it blends to $10.72. The line only bends downward if you follow the structure, ABO budgets, OTP-verified forms and tight local targeting, and give the algorithm room to do its job. The numbers are Rising Star 76471's own: 1,830 leads on $19,618 of spend.
The takeaway for an owner: judge a paid account on day 50, not day 5. Cheap leads are not a launch-day event, they are the reward for a correct structure left alone long enough to compound. The Rising Star 76471 market produced these 1,830 leads, and they reconcile.
One build is the unit, not the machine. Curtis scales Rising Star 76471 by running multiple campaigns with separate budgets - exactly how the account reaches 1,830 leads. This is the Rising Star 76471 build, not a generic playbook (1,830 leads).
Separate budgets are the whole point. Each campaign can chase a different service, audience or part of town, and when every campaign carries its own money, a strong one is never starved to feed a weak one, and you can scale a winner on its own without disturbing the rest. That is exactly how Curtis's account reaches 1,830 leads, nine audiences, each funded and optimised independently. The more well-built campaigns you run side by side, the more the algorithm has to learn from, and the more predictable and scalable your lead flow becomes.
For years Rising Star AC Repair businesses lived on organic Google traffic. After 2026's core updates and AI Overviews answering searches in-page, that ground shifted - ranking no longer means the phone rings in Rising Star. That 4.71% CTR is real Rising Star 76471 delivery: 1,830 AC Repair leads.
"Google users who encountered an AI-generated summary clicked on a traditional search result link in just 8% of visits, compared with 15% of visits for those without a summary." Only 1% clicked a link inside the AI summary itself.
— Pew Research Center, July 2025 (68,879 Google searches analyzed)
For a Rising Star operator the problem is control: organic is slow and increasingly intercepted before the user reaches the site. That is why Curtis moved AC Repair lead-gen to paid, where volume and cost are predictable. That is the Rising Star 76471 AC Repair account in full: 1,830 leads.
A structured Meta campaign - the kind that booked Rising Star 1,830 leads - has become the most dependable lead source for AC Repair businesses in Rising Star, Texas in 2026. Curtis's Rising Star 76471 account proves it: 1,830 verified AC Repair leads.
The page leads with AC Repair because that is the search a Rising Star homeowner makes most in the summer, but the campaign is not limited to it. The same Meta setup, the same homeowner audience, the same offer and the same lead form book work across all 12 HVAC sub-services. Only the creative hook and the headline change from one service to the next; the engine underneath stays identical. Same playbook, Rising Star 76471's own numbers: 1,830 leads, $10.72 each.
That is what makes the model scale. An operator does not build a new campaign for every service, they run one proven structure and swap the angle, so a single lead ad set can produce furnace, duct, heat pump or thermostat leads the same way it produces AC Repair leads. Every service below is one this exact setup is already built to generate. AI DOERS runs this for AC Repair owners across Rising Star 76471 - here, 1,830 leads.
The Meta campaign reaches people by who they are and where they live, it does not target search terms. The page underneath it does. This page is built to rank organically in Google for the local HVAC searches a Rising Star homeowner actually types, so the same page that documents the campaign also brings in free leads from search, with no ad spend attached. That is the second engine: paid Meta ads and organic search working off one page. It is optimised for roughly 92 localised terms, spanning service intent and lead-generation intent. A sample of what it ranks for:. For a Rising Star 76471 AC Repair business, that is what $19,618 buys: 1,830 leads.
Today Curtis's phone rings most mornings before he has finished his coffee, and his calendar fills from a form he never has to think about. The shops a few blocks over are still bidding against each other for the same handful of Google clicks, paying more each month for less. Curtis owns the one channel they have not touched, in the one ZIP that matters to him, for $10.72 a lead. That is the whole difference: not a bigger budget, a better-built machine - and it is the exact machine the team at AI DOERS builds for home-service owners across the country. That is how Rising Star 76471 reached 1,830 AC Repair leads at $10.72 each.
DOERS · HVAC Performance MarketingMadhuranjan Kumar brings 20 years of performance-marketing experience and has managed over $200 million in Facebook ad spend for brands across the United States and beyond. His expertise spans the full modern marketing stack, Meta, Google Ads, TikTok, email automation, CRM, and the websites that hold it all together, and the full reach of a market, from worldwide brands to national chains to the local operator competing on their own street. At AI DOERS he turns that track record into lead-generation systems for home-service businesses, with first-party HVAC results consistently under $8 per lead. Curtis's Rising Star 76471 AC Repair account on this page is one of those builds.
Start with a free audit of your ad account and a custom 30-day plan to drive your cost per lead down. No contract, and no retainer until the leads come in. This is why Rising Star 76471 homeowners became 1,830 booked AC Repair leads.