Marketing Pulse

For Joe and leadership. Joe-standard sections, 2025+ only.

Generated 2026-06-16T11:20:08+00:00
Auto-refresh every 10 min
2,555
Leads
677
Signed
$781,692
Marketing Spend
$1,155
Cost / Signed
26.5%
Lead → Signed

Leads

Monthly

Leads by month

Leads by source (top 10)

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

Signed Cases

Monthly

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

Spend by month

Spend share by source (top 8)

Time frameMonthly
Sourcelitify_mktgROI__Monthly_Marketing_Spend__c
Fields usedlitify_mktgROI__Monthly_Spend_Start_Date__c, litify_mktgROI__Spend__c, litify_mktgROI__Source__c

Attribution

Window total
SourceSpendSignedCost / Signed
Television Ad$283,06150$5,661
Billboard Ad$169,83220$8,492
Sponsorship$163,8420—
Social Media$47,1211$47,121
Google Ads$28,6259$3,181
SEO$23,68298$242
Radio Ad$23,1444$5,786
Google LSA (Louisville)$21,86520$1,093
Google LSA (Lexington)$12,35423$537
OTT / CTV$8,1660—
Time frameWindow total
SourceSpend ÷ Signed by source
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.

Metrics

Window total
MetricValue
Lead → Signed conversion26.5%
Marketing cost / signed case$1,155
Avg leads / month425
Avg signed / month112
Avg spend / month$130,282
Time frameWindow total
SourceDerived from Leads, Signed, Spend
Fields usedAggregates above

Demographics

Signed cases (current window)

Signed by age band

Top ZIPSigned
402201
402091
401171
Time frameSigned cases (current window)
Sourcelitify_pm__Matter__c — audience fields
Fields usedClient_ZIP__c, Client_Age__c, Primary_Language__c
CaveatPopulation coverage varies: ZIP ~76%, Age ~99%, Language ~17%.

Source Matrix

Window total
SourceLeadsSignedConv %SpendCost / Signed
Television Ad2875017.4%$283,061$5,661
Billboard Ad822024.4%$169,832$8,492
Sponsorship00—$163,842—
Social Media1417.1%$47,121$47,121
Google Ads52917.3%$28,625$3,181
SEO7939812.4%$23,682$242
Radio Ad6466.7%$23,144$5,786
Google LSA (Louisville)1072018.7%$21,865$1,093
Google LSA (Lexington)902325.6%$12,354$537
OTT / CTV00—$8,166—
Word of Mouth65626540.4%$0$0
Returning Client1827943.4%$0$0
Employee (Attorney)624979.0%$0$0
Employee (Non Attorney)241770.8%$0$0
Attorney Referral331545.5%$0$0
AI Chatbot391435.9%$0$0
Employee (Owner)10990.0%$0$0
Unknown26311.5%$0$0
Unknown Referral Source7911.3%$0$0
Bus Ad200.0%$0—
Health Care Provider Referral200.0%$0—
News Story700.0%$0—
Spanish Radio100.0%$0—
Thomas Clay100.0%$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.

Geography

Window total

Signed cases by region

Leads by region

Top city — LeadsLeadsTop city — SignedSigned
Louisville, KY Kentucky730Louisville, KY Kentucky448
Lexington, KY Kentucky45Lexington, KY Kentucky21
Shepherdsville, KY Kentucky27Shepherdsville, KY Kentucky20
Jeffersonville, IN Indiana17Shively, KY Kentucky10
Louisville13Elizabethtown, KY Kentucky7
Bardstown, KY Kentucky12Radcliff, KY Kentucky7
New Albany, IN Indiana11New Albany, IN Indiana6
Elizabethtown, KY Kentucky11Jeffersonville, IN Indiana6
Shively, KY Kentucky10Lou, KY Kentucky6
Radcliff, KY Kentucky10Crandall, IN Indiana3
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.

Lexington

Window total
MetricValue
Lexington leads46
Lexington signed cases21
Share of total signed3.1%
Time frameWindow total
Sourcelitify_pm__Matter__c + Intake__c — city / county filter
Fields usedlitify_pm__Matter_City__c, litify_pm__lit_Matter_County__c, litify_pm__Case_City__c

Spanish

Window total
MetricValue
Spanish-language signed (floor)26
Share of total signed3.8%
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.