Paid media + AI search, one team, for lead-gen businesses

Not another agency.

Agencies hand you leads and a monthly report. FrogFish builds and runs a growth system that connects AI, paid media and your first-party data, from the first click to the signed contract. Then we judge every dollar on revenue.

13 yrsat Google
−42%cost per signed case
+32%cost-per-sale efficiency
# growth-alerts Illustrative example
FrogFish Signal 8:02 AM
LEAKKansas City: 38 leads in 14 days, 0 booked consults. 71% came from 3 broad-match keywords. Ready to pause them and move $120/day to Denver.
ApproveEditIgnore
Approved. Paused 3 keywords and moved $120/day to Denver. Logged.
FrogFish Signal 9:15 AM
HEADROOMMicrosoft Ads is spending 64% of budget, but 41% of its leads book a consult (Google: 24%).
Cost per booked consult$1,780 vs $2,460Proposed+$150/day on Microsoft
FrogFish Signal is analyzing your accounts
Why we're different

Most agencies stop at the lead. We follow it to the contract.

A form fill isn't revenue. Your real outcome happens offline, as a booked consult, a signed case, a funded loan or a closed sale. So that's what we track, and what we feed back into Google, Meta and Microsoft to optimize against.

A typical agency

  • Optimizes to cost per lead
  • Ad platforms only see the form fill
  • Monthly PDF report, weeks after the fact
  • Leads go cold after one automated email
  • A junior account manager runs your account

FrogFish

  • Optimizes to cost per booked consult, signed case or funded loan
  • Your CRM outcomes flow back to the ad platforms as offline conversions
  • A live pipeline dashboard and daily Slack alerts
  • Lead scoring and nurture flows that work every lead
  • Ex-Google operators, with AI doing the daily work
Offline informs online

It's a loop, not a funnel.

A funnel ends at the sale. Ours doesn't stop there. What happens offline, in your phone calls, consults and contracts, flows back into how we bid, target and create. Every turn of the loop makes the next one cheaper.

1 Ad platformsGoogle · Microsoft · Meta 2 Lead comes inClick, call or form 3 Your team works itSpeed to lead + nurture 4 Offline outcomeConsult, case, loan, sale 5 FrogFish AI learnsValue, quality, market, hook 6 Smarter targetingBids, audiences, budgets, ads Every closed dealmakes the nextclick smarter.
  1. Ad platforms Google, Microsoft, Meta
  2. Lead comes in Click, call or form
  3. Your team works it Speed to lead and nurture
  4. Offline outcome Consult, case, loan, sale
  5. FrogFish AI learns Value, quality, market, hook
  6. Smarter targeting Bids, audiences, budgets, ads

What your offline data teaches the ad platforms

Bidding

Booked consults and signed deals, with their dollar values, go back as conversions. Google and Microsoft learn to chase people who close, not people who fill out forms.

Audiences

Your best customers seed lookalike audiences. Junk leads and current customers get excluded.

Budgets by market

Spend moves to the metros where leads turn into consults, and away from the ones where they don't.

Keywords

Search terms that bring leads who never book get cut, even when their cost per lead looks cheap.

Creative

What closers say on sales calls becomes the hook for next week's ads.

Your sales team

Slow follow-up and no-shows get flagged, because the best ad can't fix a lead nobody called.

The FrogFish system

One system, built on your data, running every day.

We build five pieces for every client. They connect to the CRM, phone system and ad accounts you already use, so there's nothing to rip out.

01 · Custom pipeline

Every lead, tracked from click to contract.

We map your sales stages and connect your forms, calls and CRM into one funnel. Then every stage carries a cost, so you can see exactly where money leaks.

  • Works with Salesforce, HubSpot, GoHighLevel and call tracking
  • Spam and junk leads filtered out before they skew bidding
  • Booked and closed outcomes sent back to Google, Meta and Microsoft
Pipeline · last 30 days Illustrative example
Google AdsMicrosoft AdsMetaCall trackingSalesforce
StageCountCost each
Leads
412$146
Real leads (no spam)
305$197
Qualified
168$357
Booked consult
31$1,935
Signed / closed
14$4,286
Offline conversions on: booked consults go back to the ad platforms every night, so bidding learns what a good lead looks like.
02 · Slack alerts

Problems flagged in hours, not at month-end.

Our AI watches spend, lead quality and your pipeline every day. When something breaks or an opportunity opens up, you get a plain-English alert with a fix ready to approve.

  • Budget pacing, cost spikes and markets that stop converting
  • Lead-to-consult drops, so you hear about sales issues too
  • Nothing changes without your OK, and every change is logged
# client-growth Illustrative example
FrogFish Signal Mon 8:00 AM
WEEKLYLast week: 27 booked consults at $1,960 each (−9% vs prior week). Best: Microsoft, Denver. Worst: Meta prospecting.
Spend$52,900Booked consults27Signed12
FrogFish Signal Tue 2:41 PM
SPEED11 new leads have gone more than 2 hours without a call. Leads called within 5 minutes book 3x as often.
Send to front deskView leads
FrogFish Signal Thu 10:05 AM
FATIGUECreative "Day one" frequency hit 4.2 and its cost per lead is up 38% this week. Two new variants are ready.
Swap inPreview
03 · Nurture flows

No lead left to go cold.

Most paid leads that don't buy in week one are never contacted again. We score each lead the moment it arrives, route the best ones to your team fast, and nurture the rest by text and email until they're ready.

  • AI lead scoring from your own closed-won history
  • Speed-to-lead routing for your highest-value leads
  • Text and email sequences built in the CRM you already use
Nurture flow Illustrative example
0 min
New lead arrives and gets an AI scoreBased on source, answers, location and past closed deals
High scoreText in 60 seconds, then a call task for your team within 5 minutes
Lower scoreWelcome email with a booking link, and the lead enters the nurture sequence
Day 1
"Have questions?" text with a direct booking link
Day 3
Proof email: a patient or client story like theirs
Day 7
FAQ and pricing email, plus a call task if they opened twice
Day 30+
Monthly win-back, and the lead is added to retargeting audiencesBooked? The lead leaves the flow and the ad platforms learn from it
04 · Revenue dashboard

Every channel judged on the same number.

One live dashboard puts spend, pipeline and revenue side by side for Google, Microsoft, Meta and Reddit. It shows cost per booked consult or signed case by channel, campaign and market, against your target.

  • Your target cost per outcome, built in
  • Market-by-market view, so weak geos can't hide in averages
  • Shared with your team, so there's no waiting for a report
Cost per consult · this month Illustrative example
Spend
$61.2k
On pace
Booked consults
32
+19% vs last month
Cost per consult
$1,912
Target $2,000
DEN
$1,410
PHX
$1,650
DAL
$1,890
ATL
$2,140
KC
0 consults
Red = market with spend and no booked consults this month.
05 · AI creative, tested weekly

Fresh ads every week, judged on booked revenue.

We make video and static ads quickly with AI, test them against each other, and keep the ones that bring in customers who actually sign. A cheap click from a bad lead doesn't count as a win.

  • Motion-graphics and talking-head video ads, made in days
  • Hooks drawn from what your best customers say
  • Winners picked by cost per booked consult, not click-through rate
This week's test Illustrative example
Concept A"Tap into your home's equity."
CTR 1.9% · Cost per funded loan $612
Concept B"Your line of credit, approved in days."
CTR 1.4% · Cost per funded loan $388
Concept C"Rates just moved. Here's what that means."
CTR 2.3% · Cost per funded loan $701

Concept C had the best click-through rate but the worst cost per funded loan. Concept B gets the budget.

Who we work with

Businesses where the sale happens after the click.

We go deep in a few industries where a lead takes calls, consults or paperwork to become revenue. Here's what the loop looks like in each one.

Specialty clinics, mental health and treatment programs

Forms fill up with people who never book. Insurance mismatches and no-shows hide behind a healthy-looking cost per lead.

Offline data we pull

Scheduled consults, insurance verified, show rate and treatment starts from your EHR or intake CRM.

What changes online

Google and Microsoft bid on scheduled consults, not form fills. Markets that generate leads but never book get cut. Patient data stays HIPAA-safe: hashed IDs only.

What your team gets

Instant alerts to intake coordinators, plus reminder flows that cut no-shows.

We optimize to Scheduled consults and treatment starts
Healthcare pipeline · last 30 daysIllustrative example
Leads
412
Insurance verified
188
Scheduled consults
61
Treatment started
34
FrogFish Signal now
ALERTKansas City: 41 leads, 1 scheduled consult in 30 days. 3 broad keywords drive 70% of spend.
→ Pause 3 keywords · move $150/day to Denver
Personal injury, asset protection and B2C law firms

Intake drowns in spam, wrong practice areas and out-of-state callers. Ad platforms count all of them as wins.

Offline data we pull

Signed retainers, case type and case value from Clio, Lawmatics, Filevine or your CRM, plus intake rejection reasons.

What changes online

Signed cases go back to Google with case value. Rejection reasons become negative keywords. Budget follows the hours intake actually answers.

What your team gets

Missed-call alerts within 60 seconds and a daily scorecard by intake rep.

We optimize to Signed cases
Law firm playbook →
−42% cost per signed case for an asset-protection firm in 4 months. −56% spam leads after rebuilding tracking around closed cases.
Legal pipeline · last 30 daysIllustrative example
Calls and forms
520
Qualified intake
214
Consults held
96
Signed cases
31
FrogFish Signal now
ALERT9 missed intake calls after 6 PM this week. 3 came from "asset protection attorney" searches.
→ Add after-hours answering · or shift budget to 8 AM–6 PM
Residential solar and high-ticket home services

Setters book appointments that never sit, and economics swing wildly by utility territory. A cheap lead in the wrong zip is the most expensive lead you buy.

Offline data we pull

Sits held, signed contracts, cancellations and installs by zip code and utility, plus organic volume by metro.

What changes online

Budgets set by utility territory against a blended cost-per-watt target. Cancellations are excluded from bidding signals. Creative is tested on signatures, not clicks.

What your team gets

Hot leads routed to the nearest closer, and alerts when a metro drifts off target.

We optimize to Signed contracts and installs
Solar & home services playbook →
+32% cost-per-sale efficiency for a publicly traded solar company.
Solar & home pipeline · last 30 daysIllustrative example
Leads
1,180
Appointments
402
Sits held
236
Signatures
71
FrogFish Signal now
HEADROOMWorcester zips: cost per signature 25% under target for 3 straight weeks.
→ Raise budget $300/day · hold the cost-per-watt cap
Lenders, HELOCs, business funding and credit unions

Applications look great and funding doesn't. Underwriting declines are invisible to the ad platforms, so they keep finding more of them.

Offline data we pull

Approved, funded and declined status, funded amount and decline reasons from your LOS or Salesforce.

What changes online

Value-based bidding on funded dollars. Lookalikes built from funded borrowers, with declined profiles excluded. Targeting tuned by industry and time in business.

What your team gets

Slack alerts for high-value applications, and nurture flows that chase missing docs.

We optimize to Funded loans and funded dollars
Financial services pipeline · last 30 daysIllustrative example
Applications
640
Docs submitted
251
Approved
118
Funded
64
FrogFish Signal now
ACTION14 applications over $150K have docs pending for 3+ days.
→ Doc-chase sequence sent · 3 flagged for a loan officer call today
Brokerages, teams, new development and property management

Leads come in at 10 PM from ads and portals. Agents call back two days later, and by then the buyer is touring with someone else.

Offline data we pull

Showings booked, offers, closings and commission (GCI) from Follow Up Boss, kvCORE or your CRM.

What changes online

Meta and Google bid on showings and closings. Budgets set by neighborhood. Retargeting by the listings people actually viewed.

What your team gets

An AI concierge that replies in seconds, qualifies, books showings on agents' calendars and updates the CRM.

We optimize to Showings and closings
Real estate playbook → See the AI concierge live →
Real estate pipeline · last 30 daysIllustrative example
Inquiries
900
Conversations
610
Showings
142
Closings
12
FrogFish Signal now
HOT LEADSarah K., pre-approved $1.2M. Showing booked Sat 11:00 with Dana, plus 3 add-on homes.
→ Booked by the concierge at 9:49 PM · CRM updated
Pedigree

Built by an operator who spent 13 years inside Google.

Founder Alex Fleshner ran Google Ads' lead-gen vertical, led media strategy at Verily (Alphabet's health company) and was an AI transformation lead at Google Cloud AI for brands like EA and Disney. FrogFish brings that playbook to businesses that spend $10K+ a month on ads, with senior people on every account.

SunrunNeuroStimBlake Harris LawBig Think CapitalLe VianAPG Research
−42%Cost per signed case for an asset-protection law firm, in 4 months
+32%Cost-per-sale efficiency for a publicly traded solar company
−56%Spam leads, after rebuilding a law firm's tracking around closed cases
Getting started

Live in 30 days, on the tools you already use.

Week 1

Audit & connect

We connect your ad accounts, CRM and call tracking, then audit where spend leaks today.

Week 2

Rebuild tracking

We map your pipeline, filter out spam, and turn on offline conversions back to the ad platforms.

Week 3

Alerts & nurture

Slack alerts, lead scoring and nurture flows go live, along with your dashboard.

Week 4

Optimize to revenue

Bidding, budgets and creative shift to cost per outcome. Every change waits for your approval.

Not another agency

Stop paying for leads. Start paying for customers.

Give us 30 minutes and access to your data. We'll show you where your ad spend leaks and what it costs you to get a customer who actually signs.

Book a discovery call
Product screens show illustrative examples, not client data.
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