Marketing

Sam Aguiar Injury Lawyers • CMO dashboard. Sourced live from the Litify Marketing Center.

Generated 2026-09-01T20:53:25+00:00
Auto-refresh every 10 min
9,498
Leads
2,359
Signed
$3,195,897
Marketing Spend
$1,355
Cost / Signed
24.8%
Lead → Signed

Leads

Monthly Deep dive →

Leads by month

Leads by source (top 10)

Time frameMonthly
Sourcelitify_pm__Intake__c — Marketing Center (Intake Marketing Source Matrix)
Fields usedCreatedDate, litify_pm__Source__c

Signed Cases

Monthly Deep dive →

Signed cases by month

Signed cases by source (top 10)

Time frameMonthly
Sourcelitify_pm__Matter__c — Open Date based
Fields usedlitify_pm__Open_Date__c, litify_pm__Source__c

Spend

Monthly Deep dive →

Spend by month

Spend share by source (top 8)

Time frameMonthly
Sourcelitify_mktgROI__Monthly_Marketing_Spend__c
Fields usedMonthly_Spend_Start_Date__c, Spend__c, Source__c

Source Matrix

Window total Deep dive →
SourceLeadsSignedConv %SpendCost / Signed
Television Ad1,07219818.5%$1,276,962$6,449
Billboard Ad2928428.8%$715,975$8,524
Sponsorship100.0%$344,592—
Google LSA (Louisville)4319221.3%$190,162$2,067
Social Media7456.8%$184,640$36,928
Google Ads308268.4%$159,246$6,125
Radio Ad22731.8%$101,716$14,531
OTT / CTV00—$97,474—
SEO3,0622638.6%$56,332$214
Google LSA (Lexington)1914121.5%$37,747$921
Bus Ad200.0%$31,050—
Word of Mouth2,58499138.4%$0$0
Returning Client68630444.3%$0$0
Employee (Attorney)20117285.6%$0$0
Employee (Non Attorney)926873.9%$0$0
Attorney Referral1554629.7%$0$0
AI Chatbot842428.6%$0$0
Health Care Provider Referral211676.2%$0$0
Employee (Owner)13969.2%$0$0
Unknown10550.0%$0$0
Google4375.0%$0$0
Former Employee22100.0%$0$0
Unknown Referral Source14921.3%$0$0
Legal Aid Society11100.0%$0$0
Kentucky Lawyer Referral Service400.0%$0—
Time frameWindow total
SourceSpend + Intake + Matter joined by Source.Name
Fields usedlitify_pm__Source__c (Intake/Matter), litify_mktgROI__Source__c (Spend)
CaveatSource labels are not yet normalized across Spend and Matter — small mismatches can split a source into two rows. Known issue (see Marketing Spend Entry SOP): Sponsorship shows high spend with ~0 attributed signed cases because of a Spend.Source vs Matter.Source label mismatch — read it as an attribution gap, not as dead spend. See marketing-center-source-of-truth-map.

Cost / Signed by Source

Window total Deep dive →
SourceSpendSignedCost / Signed
Television Ad$1,276,962198$6,449
Billboard Ad$715,97584$8,524
Sponsorship$344,5920—
Google LSA (Louisville)$190,16292$2,067
Social Media$184,6405$36,928
Google Ads$159,24626$6,125
Radio Ad$101,7167$14,531
OTT / CTV$97,4740—
SEO$56,332263$214
Google LSA (Lexington)$37,74741$921
Bus Ad$31,0500—
Time frameWindow total
SourceSpend ÷ Signed by source (paid sources only)
Fields usedlitify_mktgROI__Source__c, litify_pm__Source__c
CaveatCost/Signed assumes Spend.Source and Matter.Source labels match. Sponsorship is a known mismatch (see Marketing Spend Entry SOP) — its '—' / sky-high cost reflects unjoined attribution, not zero return. Lexington and Louisville LSA are tracked separately and must never be combined.

Headline Metrics

Window total Deep dive →
MetricValue
Lead → Signed conversion24.8%
Marketing cost / signed case$1,355
Avg leads / month452
Avg signed / month112
Avg spend / month$152,186
Time frameWindow total
SourceDerived from Leads, Signed, Spend
Fields usedAggregates above

Geography

Window total Deep dive →

Signed cases by region

Leads by region

Top city — LeadsLeadsTop city — SignedSigned
Louisville, KY Kentucky2,317Louisville, KY Kentucky1,572
Lexington, KY Kentucky140Lexington, KY Kentucky79
Shepherdsville, KY Kentucky65Shepherdsville, KY Kentucky50
Jeffersonville, IN Indiana54Jeffersonville, IN Indiana30
New Albany, IN Indiana40New Albany, IN Indiana22
Louisville33Lou, KY Kentucky21
Bardstown, KY Kentucky31Elizabethtown, KY Kentucky17
Elizabethtown, KY Kentucky28Georgetown, KY Kentucky16
Lou, KY Kentucky27Bardstown, KY Kentucky15
Shelbyville, KY Kentucky25Clarksville, IN Indiana14
Time frameWindow total
Sourcelitify_pm__Intake__c + litify_pm__Matter__c — geo fields, firm-defined region map
Fields usedCase_City__c, Case_State__c, Matter_City__c, lit_Matter_County__c, Matter_State__c
CaveatIntake records often lack county, so intake-region rollup falls back to state-only and reports more as Unknown than matters do.

Demographics

Signed cases (current window) Deep dive →

Signed by age band

Signed by language (top 6)

Top ZIPSigned
402192
402152
402992
471302
402161
402051
402421
407291
402411
403361
Time frameSigned cases (current window)
Sourcelitify_pm__Matter__c — audience fields
Fields usedMatter_Postal_Code__c, Client_Age__c, Primary_Language__c
CaveatPopulation coverage varies: ZIP ~76%, Age ~99%, Language ~17%. Language is a floor, not actual.

Lexington

Window total Deep dive →
MetricValue
Lexington leads145
Lexington signed cases80
Share of total signed3.4%
Time frameWindow total
Sourcelitify_pm__Matter__c + Intake__c — city / county filter
Fields usedMatter_City__c, lit_Matter_County__c, Case_City__c

Spanish

Window total Deep dive →
MetricValue
Spanish-language signed (floor)116
Share of total signed4.9%
Time frameWindow total
Sourcelitify_pm__Matter__c — language filter
Fields usedPrimary_Language__c
CaveatPrimary_Language__c is only ~17% populated on Matter. Counts are floor, not actual.