Overview
The premise, the two accounts, and the thesis driving the restructure.
The premise. The Client (a personal-injury law firm focused on motor vehicle accidents) acquired their lead-gen partner's Google Ads account — a calculator-driven lead-aggregator that had spent $41.7M across 1.17M unique search queries over three years. That's an unusually complete picture of how PI auto search demand actually behaves. The job: extract the intelligence and use it to restructure the Firm's own $2.45M/year account.
The Two Accounts — Different Businesses, Same Demand Pool
The Acquired Account
Lead-aggregator · calculator funnel
What they sellLeads (B2B → law firms)
Hook"Pain & Suffering Calculator"
AuctionConsumer-tool keywords
ConversionForm submission
3-yr avg CPC$8.76
3-yr avg CPA$99.83
3-yr CVR8.7%
The Client (PI Law Firm)
Legal services · MVA injury cases
What they sellLegal representation (B2C)
HookContingency representation
AuctionLegal-services keywords (premium)
ConversionQualified lead: in accident + injured + not at fault + seeking attorney
L12M avg CPC$77.04
L12M avg CPA$787
L12M CVR9.8%
Why this matters analytically. The CPC and CPA gaps between the two accounts are structural — they reflect different auctions and different qualification bars, not different operational efficiency. The point of the analysis isn't "run cheaper like the aggregator." It's: which intent clusters in the aggregator dataset translate to the Firm's stricter qualification standard, and where is the legal-services CPC markup smallest relative to the broader demand pool? Those are the arbitrage opportunities.
Scale of Intelligence Available
Aggregator total spend
$41.75M
Jan 2023 – Mar 2026
Unique queries
1.17M
Search-term coverage
Clicks analyzed
4.78M
Conversion behavior
Conversions tracked
418K
8.7% CVR baseline
Keywords analyzed
6,234
Across 326 ad groups
Ads analyzed
1,029
Creative-pattern signals
Change history
2,592
Logged optimizations
Firm L12M spend
$2.45M
For comparison context
The thesis. The aggregator paid the tuition. Three years of paid-search testing at this scale, in this category, has already validated where the demand is, how it converts, and what message angles work. Translated through the legal-services lens — higher CPC floor, stricter qualification bar — it points to specific keyword clusters where the Firm has been under-invested and where the auction is least brutal.
The PI Auto Accident Intent Map
A market-tested taxonomy of every meaningful search intent cluster in the category, organized by funnel stage. Built and refined across $41.7M of spend.
Tier 1 — Lower Funnel
Active Legal Intent (Highest Priority)
· Car accident attorney / law firm — actively seeking legal representation; clearest case intent
· Sue / legal action — explicit litigation intent; user has decided to pursue
· Accident injury lawyer — direct service match; clearest path to a signed case
· Sue / legal action — explicit litigation intent; user has decided to pursue
· Accident injury lawyer — direct service match; clearest path to a signed case
Tier 2 — Mid Funnel
Claim Research (Strong Secondary)
· Settlement value — quantifying their situation; receptive to free consult
· Bodily injury claims — insurance-process intent; intercept before they settle alone
· Pain & suffering — high volume; converts when ad matches the research intent
· Specific injury types — whiplash, herniated disc, rear-ended; strong message-match opportunity
· Not at fault — emotional hook; user feels wronged and wants validation
· Bodily injury claims — insurance-process intent; intercept before they settle alone
· Pain & suffering — high volume; converts when ad matches the research intent
· Specific injury types — whiplash, herniated disc, rear-ended; strong message-match opportunity
· Not at fault — emotional hook; user feels wronged and wants validation
Tier 3 — Upper Funnel
Post-Accident Informational
· "What to do after an accident" — high volume, early funnel; brand touchpoint if LP is differentiated
· Passenger accidents — niche but clean intent; easy to build tightly
· Rear-ended immediate aftermath — urgency-driven; users in the moment, high emotional receptivity
· Passenger accidents — niche but clean intent; easy to build tightly
· Rear-ended immediate aftermath — urgency-driven; users in the moment, high emotional receptivity
How this maps for legal-services advertising. Tier 1 is the most expensive auction (full attorney-keyword premium) but the most direct to a signed case. Tier 2 has the highest volume and the best message-match arbitrage opportunity — the aggregator concentrated meaningful spend here and the Firm has thin coverage. Tier 3 only earns ROI if the landing experience beats the organic informational result.
Top Performing Search Terms in the Aggregator Dataset
Aggregator dataset · ranked by conversion volume · all funnel stages
| Search Term | Conversions | Spend | CVR | Stage |
|---|---|---|---|---|
| pain and suffering settlement examples | 782 | $62,223 | 6.3% | Mid |
| average settlement — car accident back and neck | 243 | $24,019 | 6.5% | Mid |
| car accident | 143 | $25,386 | 14.2% | Lower |
| pain and suffering | 163 | $15,222 | 7.5% | Mid |
| back injury settlement without surgery | 138 | $10,084 | 6.8% | Mid |
| state farm claims | 136 | $14,921 | 5.8% | Mid |
| what is whiplash | 102 | $11,520 | 5.6% | Upper |
| what to do after car accident not your fault | 39 | $5,501 | 11.0% | Lower |
| i was a passenger — who do i sue | 21 | $4,313 | 9.7% | Lower |
The Insurance-Brand Intercept Pattern
A meaningful slice of PI auto search volume = people mid-claim, searching their own carrier's name. They haven't retained counsel yet.
| Search Term | Clicks | Spend | Conversions |
|---|---|---|---|
| state farm claims | 5,809 | $38,072 | 343 |
| state farm insurance claim | 642 | $4,430 | 42 |
| allstate claims | 588 | $3,210 | 23 |
| progressive claims | 292 | $2,385 | 21 |
| state farm auto claims | 499 | $2,849 | 22 |
The message angle. These users need a creative written for that exact moment — adversarial framing ("State Farm Lowballing You? You May Be Owed More.") will outperform generic law-firm pitches. Insurance-intercept requires its own ad group and landing experience.
Keyword Arbitrage Analysis
Comparing the Firm's last 12 months (608 keywords, $2.45M) against the aggregator's 3-year average — sliced by question vs. non-question intent — to identify where the legal-services CPC premium is structurally smallest.
Section Overview — Why This Slice, What It Tells Us
The slice — question vs. non-question intent — wasn't arbitrary.
The Firm had started testing question-based keywords in their existing MVA Question campaign and was seeing strong performance: $24.66 average CPC, $336 CPA across $16,820 of spend over three months, well below the account's $77 / $787 blended baseline. That validated the intent cluster locally — the question is what to do about it at scale.
The aggregator dataset answered that: three years and $41.7M of paid-search investment against the same demand pool, with question intent as a dedicated cluster ($2.10M in question-keyword spend on its own). The comparison below sizes the demand pool, profiles the CPC across both accounts, and identifies where the legal-services premium is structurally smallest within it.
How to read the gap. CPC gaps between the two accounts aren't aspirational ("the Firm should run cheaper") — they're diagnostic of where the legal-services markup is smallest. Where the gap is smallest, the Firm's auction position is most competitive. Where the gap is largest (up to 13.9x on exact-match attorney terms), the legal-services premium is brutal and the Firm pays it regardless of how it bids.
The CPC Gap as Arbitrage Signal
Same demand pool, different auctions. Smaller gap = smaller legal-services premium = better arbitrage opportunity for the Firm.
Intent Cluster · Match Type
Firm CPC
Aggregator CPC
Gap multiple
Question · Exact
$29.95
$11.30
2.7x
Question · Phrase
$39.48
$11.45
3.4x
Question · Broad
$31.23
$8.37
3.7x
Non-Question · Broad
$31.67
$7.99
4.0x
Non-Question · Phrase
$77.11
$9.97
7.7x
Non-Question · Exact
$139.11
$9.97
13.9x
The arbitrage read. Question-based intent is where the gap is smallest (2.7–3.7x). Non-question attorney terms is where the gap is largest (up to 13.9x on exact match). The legal-services premium is concentrated in the attorney-keyword auction. Question keywords cost the Firm 2.5–4x more than the aggregator pays, but the absolute level ($30–40 CPC) is far below the Firm's $77 blended average — and a fraction of attorney-keyword exact-match at $139.
Concentration of Spend — The Imbalance
The Firm's L12M spend distribution across intent tiers
Non-Question (Attorney)
$2,391,320
97.7% of spend · 565 keywords · $79 avg CPC · $789 CPA
Question-Based
$56,776
2.3% of spend · 43 keywords · $35 avg CPC · $710 CPA
Aggregator Question Spend
$2.10M
1,066 keywords · 3-year window
The white space. The aggregator deployed $1.67M on 1,041 question keywords the Firm has zero coverage on. At the aggregator's $9.18 avg CPC, applying the smallest gap multiple (~3x for legal services), the Firm could expect ~$27 CPC on those clusters — well below the Firm's blended $77, and still inside a defensible CPA range given the Firm's actual conversion economics.
Head-to-Head on Overlapping Keywords — Question-Based (25 shared kw+match combos)
Where both accounts bid on question-intent terms. Firm L12M spend: $49,075 · Aggregator spend: $175,603. Selected examples showing the gap range.
| Keyword | MT | Firm CPC | Aggregator CPC | Gap |
|---|---|---|---|---|
| i got rear ended how much money will i get | EXA | $123.13 | $12.78 | 9.6x |
| i was passenger in car accident | PHR | $94.26 | $10.39 | 9.1x |
| i was the passenger in a car accident | PHR | $84.38 | $16.31 | 5.2x |
| can i sue if i was in a car accident | EXA | $61.30 | $13.05 | 4.7x |
| what to do after a car accident | PHR | $27.65 | $10.79 | 2.6x |
| i got into an accident what do i do | PHR | $43.33 | $19.45 | 2.2x |
| i got rear ended what do i do | EXA | $43.04 | $20.04 | 2.1x |
| i got into a car accident what do i do | EXA | $29.06 | $32.25 | 0.9x |
| i got rear ended and my neck hurts | EXA | $16.21 | $30.13 | 0.5x |
The arbitrage signal in question intent. Most gaps land between 2–10x — meaningfully smaller than the non-question side. Notice the bottom of the table: on hyper-specific lower-funnel keywords ("i got rear ended and my neck hurts"), the Firm actually pays less than the aggregator. The aggregator's broad-funnel buyers don't want these specific queries; the Firm's qualified-lead buyers do. Worth concentrating into a dedicated ad group with matched landing.
Head-to-Head on Overlapping Keywords — Non-Question (62 shared kw+match combos)
Where both accounts bid on attorney / settlement / claim terms. Firm L12M spend: $133,008 · Aggregator spend: $474,644. Selected examples showing the gap range.
| Keyword | MT | Firm CPC | Aggregator CPC | Gap |
|---|---|---|---|---|
| bodily injury | PHR | $267.10 | $6.98 | 38.3x |
| state farm accident payouts | BRO | $175.45 | $7.16 | 24.5x |
| injured in auto accident | PHR | $190.97 | $9.53 | 20.0x |
| average payout for car accident | BRO | $140.63 | $7.63 | 18.4x |
| motor vehicle injury claim | PHR | $146.57 | $10.95 | 13.4x |
| car accident injury law firm | PHR | $285.34 | $21.72 | 13.1x |
| vehicle injury | PHR | $126.42 | $9.69 | 13.0x |
| car accident counsel | PHR | $168.70 | $25.61 | 6.6x |
| car accident payout | PHR | $62.25 | $10.90 | 5.7x |
| typical payout for car accident | PHR | $36.54 | $10.67 | 3.4x |
| accident law firms | BRO | $37.08 | $12.32 | 3.0x |
The arbitrage signal in non-question intent. Most gaps land 10–38x — the legal-services premium is severe on attorney terms, bodily-injury, and insurance-intercept keywords. These are auctions the Firm has to participate in (they're the case-intent terms) but they're not where the next $1 of incremental spend generates the most lift. The Firm should keep covering this tier on the highest-converting keywords and let go of the long tail.
Account Restructure
Translating the arbitrage map into a campaign architecture. Built on a signal-based keyword framework: keywords tiered by how many qualifying signals appear in a single query.
The Signal-Based Framework
Four signals matter for the Firm's qualified-lead definition. Each query is scored by how many appear.
Signal 1
Lawyer Need
Explicit search for legal help — "lawyer," "attorney," "law firm"
Signal 2
Not at Fault
User feels wronged — "not my fault," "hit by," "passenger"
Signal 3
Injured
Physical claim — "whiplash," "injury," "hurt," "back pain"
Signal 4
Claim Value
Value research — "settlement," "payout," "worth," "compensation"
How signals map to campaigns. Single-signal queries (informational) → Single-Signal campaign. Two- and three-signal queries (consideration) → Multi-Signal campaign with ad groups by signal pair. Three-signal queries land in the highest-intent ad group — these are the qualified-lead candidates.
New Campaign Architecture
| Campaign | Status | Market | Monthly Budget | vs Previous | Bidding | Notes |
|---|---|---|---|---|---|---|
| Firm Branded | Keep | Primary | $15K | No change | Max Conv Value | Strong IS on branded. No changes needed. |
| Non-Branded Attorney Terms | Modify | Primary | $55K | ↓ from $85K | Max Conv Value | Rationalize to top signed-case keywords. Pause kw w/ 0 signed cases + CPA >$1,500 over 90 days. |
| Spanish Non-Branded | Keep | Primary | $12K | ↑ from $10K | Max Conv Value | Strong signed-case efficiency. Minor increase. |
| PMax | Keep | Primary | $10K | No change | Max Conv Value | Keep pending asset-group audit. |
| Existing MVA Question Campaign | Keep | Primary | Existing | No change | Max Conv Value | DO NOT TOUCH. Preserves conversion history. New campaigns are additive. |
| Question — Multi-Signal (Consideration) | NEW | Primary | $38K | New allocation | Max Conversions | 7 ad groups · 81 keywords. Switch to Max Conv Value at 15+ signed cases/mo. |
| Question — Single Signal (Informational) | NEW | Primary | $20K | New allocation | Max Conversions | Transformed from existing MVA campaign. May stay on Max Conv long-term. |
| Multi-Market Question | NEW | Secondary markets | $18K | New allocation | Max Conversions | Consolidated · question-intent only · across 3 secondary markets. |
| Lion Brand (Multi-Market) | Keep | Primary + secondary | ~$43K | No change | Max Conv Value | Strong branded performance across all markets. |
| Secondary Market Attorney Terms | Reduce | Secondary markets | $19K | ↓ from $59K | Max Conv Value | Pause underperformers. Keep branded + proven kws only. |
New Campaign Targeting — Structure Detail
What each new campaign is actually targeting, and how the ad groups map to the signal framework.
Question — Multi-Signal (Consideration)
NEW $38K/mo
Targeting logic: Queries containing 2 or 3 qualifying signals from the framework (Lawyer / Not at Fault / Injured / Claim Value). These are consideration-stage buyers — close enough to a qualified-lead profile that intent overlap is high; far enough from raw attorney-term searches that CPC stays manageable.
Ad groups (one per signal pair)
| Ad group | Signal pair | Example queries |
|---|---|---|
| Lawyer + Not at Fault | 1 + 2 | "lawyer for not at fault accident", "attorney not my fault" |
| Lawyer + Injured | 1 + 3 | "injured need a lawyer", "hurt in accident lawyer" |
| Lawyer + Claim Value | 1 + 4 | "lawyer settlement", "attorney case value" |
| Not at Fault + Injured | 2 + 3 | "injured not my fault", "hit and hurt" |
| Not at Fault + Claim Value | 2 + 4 | "not at fault settlement", "not my fault payout" |
| Injured + Claim Value | 3 + 4 | "injury settlement amount", "whiplash payout" |
| Three Signals (highest intent) | any 3 of 4 | "injured not at fault settlement", "hurt not my fault lawyer" |
Bidding: Max Conversions until 15+ signed cases/month → switch to Max Conv Value.
Question — Single Signal (Informational)
NEW $20K/mo
Targeting logic: Queries containing exactly 1 qualifying signal. Single-signal queries are top-of-funnel research — lower immediate conversion, but they feed the demand pool and surface emerging intent before users land on a multi-signal query. Transformed from the existing MVA Question campaign to preserve conversion history.
Ad groups (one per signal theme)
| Ad group | Signal | Example queries |
|---|---|---|
| Should I Get a Lawyer | 1 — Lawyer | "do i need a lawyer for car accident", "should i get a lawyer" |
| Post-Accident — What To Do | 2 — Not at Fault | "what to do after a car accident", "i got rear ended what do i do" |
| Hurt / Injured General | 3 — Injured | "what is whiplash", "back pain after accident" |
| How Much Is My Case Worth | 4 — Claim Value | "how much is my case worth", "average car accident settlement" |
Bidding: Max Conversions long-term — single-signal CVR is too low for value-bidding to optimize cleanly.
Multi-Market Question (Secondary Markets)
NEW $18K/mo
Targeting logic: Question-intent only (single and multi-signal), consolidated across three secondary markets where the Firm hasn't found consistent traction on attorney terms. Question intent is cheaper per acquisition and lets the algorithm build conversion data in markets where the Firm needs to learn before scaling further. Consolidated structure (rather than three per-market campaigns) lets a single budget feed Google's learning across all three markets.
Structure
| Element | Setup |
|---|---|
| Ad groups | Parallel to the primary-market Multi-Signal structure (signal pairs as separate ad groups) |
| Geo targeting | Layered on top — Secondary Markets A, B, C as separate location targets within the same campaign |
| Keyword set | Subset of the primary-market keyword list — proven question-intent terms only, no untested expansions |
| Landing pages | Same primary-market LPs initially; market-specific LPs introduced if a market scales past 10 signed cases/mo |
Bidding: Max Conversions — algorithm needs conversion volume signal before any value-based bidding makes sense in these markets.
Budget Reallocation Summary
| Bucket | Previous Monthly | Proposed Monthly | Change |
|---|---|---|---|
| Primary Non-Branded Attorney Terms | ~$85K | $55K | −$30K |
| Secondary Market Attorney Terms | ~$59K | $19K | −$40K |
| Question — Multi-Signal (NEW) | $0 | $38K | +$38K |
| Question — Informational | ~$10K | $20K | +$10K |
| Multi-Market Question (NEW) | $0 | $18K | +$18K |
| Net reallocation into question-based intent | $10K | $76K | +$66K/mo |
Net effect. ~$66K/month shifts from the highest-CPC, highest-gap auction (attorney terms) into the lowest-gap auction (question-based intent). Same total spend envelope; meaningfully different exposure to the demand pool.
Launch Plan
Implementation order, bidding triggers, and the landing-page build sequence that the new ad groups need to land on.
Bidding Strategy Triggers
Switch trigger. Move question campaigns from Max Conversions → Max Conversion Value when each campaign hits 15+ signed cases / month. Below that threshold, the algorithm doesn't have enough signal to optimize on conversion value; above it, value-bidding outperforms on contribution margin.
Landing Page Priority Build
Each new ad group needs a matched landing page. Build order prioritized by signal-count served.
Why dedicated landing pages matter — the Quality Score lever. The Keyword Arbitrage analysis identified the legal-services CPC premium as the structural barrier the Firm faces in the auction. Building purpose-matched landing pages (rather than routing every ad group to a generic homepage or contact form) is the most direct mechanism the Firm has to chip away at that premium. Ads with strong landing-page experience earn higher Quality Scores; higher QS translates to lower CPCs at the same bid position. Each page below is built to continue the conversation the ad started — same language, same intent, same level of specificity — so QS lift is the expected (and measurable) outcome.
| Priority | Page | Page purpose | Serves ad group(s) |
|---|---|---|---|
| 1 | Free Case Review | Free case evaluation form; lowest-friction CTA for ready-to-act users | Three-Signal · highest-intent groups |
| 1 | Not at Fault | Validates the wronged-driver emotional state; explains compensation rights and next steps | Not at Fault + Injured, Lawyer + Not at Fault |
| 1 | Car Accident Injury Lawyer | Direct attorney landing — firm credentials, attorney bios, contingency-fee model | Lawyer + Injured |
| 1 | Injured Not at Fault | Three-signal landing combining validation, injury context, and case-value framing | Three-Signal primary |
| 2 | Not at Fault Settlement | Settlement-value research for not-at-fault scenarios — typical ranges and what affects payout | Not at Fault + Claim Value |
| 2 | Why Hire a Lawyer | Case for retaining counsel vs. settling alone — addresses skepticism, explains contingency model | Lawyer + Claim Value |
| 3 | Injury Settlement Value | Settlement-value research by injury type (whiplash, herniated disc, back, neck) | Injured + Claim Value |
| 3 | What To Do After Accident (existing) | Step-by-step post-accident protocol — brand touchpoint at the moment of need | Post-Accident General |
| 3 | Rear-Ended | Rear-end-specific guidance, common injuries, and claim-value framing | Rear-Ended General |
| 3 | Passenger Accident | Passenger-specific legal rights — who you can sue, what you can claim, how it differs from driver claims | Passenger General |
| 4 | Do I Need a Lawyer | Decision-tree page addressing the lawyer-need gating question | Should I Get a Lawyer |
| 4 | Case Value (existing) | General case-value education — claim-value research entry point | Claim Value General |
| 4 | Hurt in Accident | Pain-point-driven firm introduction for the injured-but-not-yet-specific user | Hurt / Injured General |
The expected payoff. QS lift translates directly to CPC reduction at the same auction position. If the Multi-Signal Consideration campaign launches at the Firm's typical attorney-keyword QS (~5–6) and the matched landing pages move it to QS 7–8 (the aggregator's "Passenger" group ran at QS 6–7 with this discipline), expect a 15–25% CPC reduction over the first 60 days — independent of any bid changes. That's the legal-services premium being eroded by execution discipline, not by leaving the auction.
Build Principles — Carried Over From the Aggregator's Three-Year Test
| Principle | Rationale |
|---|---|
| One intent theme per ad group | Tight theming drives quality scores and lowers CPCs. The aggregator's "Passenger" ad group ran at QS 6–7 vs QS 1–2 in bloated groups. |
| Match ad headlines to the search | "Passenger in a Car Accident?" beats "How Much Is Your Claim Worth?" for passenger searches every time. Specificity earns the click. |
| Match landing pages to intent | A settlement-researcher and a lawyer-seeker need different pages. Each ad group should land on a page that continues the conversation. |
| Adversarial framing for insurance-intercept audiences | "Don't accept the first offer" resonates with people already in the claims process. Position the Firm as counterweight to the insurance company. |
| Separate lower-funnel from mid-funnel budgets | Legal-intent (Tier 1) keywords warrant more aggressive bids than informational (Tier 3). Different value, different investment. |
The Reframing — What the Aggregator's Data Actually Bought Us
The acquired account spent $41.7M learning what works in PI auto-accident search. The most important takeaway is not any single keyword or headline — it is that specificity wins, and that the demand pool is partitioned by intent and by qualifying signals more cleanly than the Firm's current campaign structure reflected. The aggregator monetized the broad informational demand cheaply because their conversion bar was low. The Firm can't replicate the CPCs, but it can replicate the intent-targeting discipline — and concentrate spend in the clusters where the legal-services CPC premium is smallest.