See every dollar.
In every ZIP.
LocalSignal is the marketing attribution layer for multi-location businesses. Connect your ad platforms and CRM — we tell you exactly which ZIP codes to invest in, and which to cut, using causal geo-modeling grounded in your first-party data.
Built for the operators running these systems
Attribution just changed. Most tools didn't.
Post-cookie. Post-iOS. Post-guesswork. Three things converged in 2026 that make ZIP-level causal attribution finally possible — and inevitable.
Platforms overclaim by 30–60%
Every ad platform takes credit for the same conversion. We measure incremental lift, not overlapping self-attribution.
MMM finally opened up
Google Meridian and Meta Robyn — both MIT-licensed, both geo-native. The data scientist you couldn't afford is now a Python library.
ZIP-level signal is untapped
Census, IRS SOI income, USPS delivery counts — all free, all keyed by ZIP. Nobody's stitching them to your first-party revenue. We are.
Call tracking isn't attribution
Call tracking tells you who called. That's a receipt, not a decision. LocalSignal tells you where to shift budget next week.
Enterprise MMM is $60k+ / yr
Rockerbox, Northbeam, Wicked Reports — priced for eight-figure ecom. Local operators got nothing. Until now.
The AI copilot changes UX
Ask "why did leads drop in East Atlanta last week?" and get a grounded, cited answer. No dashboards to learn. No BI stack to buy.
Not a dashboard. A recommendation engine.
LocalSignal doesn't hand you charts and ask you to interpret them. It hands you a ranked list of moves, ordered by expected lift, with the math behind every one.
Every ZIP, ranked.
A choropleth of your entire service area, colored by causal lift — not vanity metrics. Hot ZIPs glow. Cold ZIPs fade. One glance tells you where the money is working.
- Enriched with Census demographics + IRS income by ZIP
- Geo-holdout tests validate lift, not correlation
- Weather, seasonality, competitor spend baked in
Predicted lift: +38 booked jobs · 87% confidence.
The Monday list.
Every Monday, LocalSignal emails the top five moves for the week. Each one shows the expected dollar lift, the confidence interval, and the exact steps to execute inside your ad platforms.
- Ranked by predicted revenue lift, not spend
- Every recommendation cites the underlying model run
- Track follow-through and prove the outcome
An analyst on call. 24/7.
The LocalSignal copilot is grounded in your real data. It never invents a number, never fabricates a ZIP — every answer cites the model run behind it. Ask the questions you'd ask a $180k analyst.
- "Why did leads drop in East Atlanta last week?"
- "What's my payback in Cumming versus Roswell?"
- "If I cut Meta 20% in ZIPs under $6k CPL, what happens?"
Suggested move: reallocate $4,200/mo from Meta to Google LSAs in 30306. Expected lift: +38 booked jobs at 87% confidence.
Grounded in mmm_run #4821 · Jul 12 refit
Fifteen minutes from OAuth to your first recommendation.
No BI team. No implementation firm. No 90-day onboarding. Connect your accounts, define your service ZIPs, and go.
Plug in your data
Google Ads, Meta, GA4, and CallRail in five OAuth clicks. HubSpot, ServiceTitan, Housecall Pro, Jobber optional. We ingest 90 days of history immediately.
We fit your geo-MMM
Robyn-powered marketing mix modeling, enriched with Census, IRS SOI, USPS delivery counts, and Google Trends by DMA. Sparse ZIPs cluster by demographic similarity — no lift left behind.
Get your Monday list
Ranked recommendations delivered every Monday morning by email + Slack. Each with a dollar delta, a confidence score, and one-click execution steps for your ad platforms.
We used to argue every Monday about where to spend. Now we look at the LocalSignal list and execute. It found a $54,000-a-year leak in one afternoon.
What everyone else forgot to build.
Call tracking tells you who called. Enterprise MMM is priced for hedge funds. Local tools do reviews. Nobody owns causal ZIP-level budget reallocation. So we did.
| LocalSignal | CallRail | Northbeam | Rockerbox | BrightLocal | |
|---|---|---|---|---|---|
| ZIP-level causal attribution | ✓ | — | — | Partial | — |
| Geo-holdout testing (built-in) | ✓ | — | — | ✓ | — |
| Census + IRS demographic enrichment | ✓ | — | — | — | — |
| AI copilot (grounded) | ✓ | — | — | — | — |
| Home-services native | ✓ | Partial | — | — | Partial |
| Entry price | $299/mo | $45/mo | $60k/yr | $5k+/mo | $29/mo |
Priced to be used, not shelved.
Every plan includes the full attribution model, weekly recommendations, and the AI copilot. No implementation fees. No lock-in.
Single location. First-party ad channels. For owner-operators shipping fast.
- 1 location · up to 5 service ZIPs
- Google Ads, Meta, GA4, CallRail
- Weekly recommendations · email
- AI copilot (500 msgs/mo)
- Slack & email support
Multi-location. All channels. For marketing teams that need answers, not dashboards.
- Up to 15 locations · unlimited ZIPs
- Everything in Starter, plus TikTok, LinkedIn, OTT/CTV
- ServiceTitan, HubSpot, Salesforce sync
- Scenario planner (unlimited)
- AI copilot (unlimited)
- Quarterly QBR
Franchise systems & agencies. White-label. Roll-up dashboards. Custom modeling.
- Unlimited locations
- Franchise HQ roll-up + per-unit dashboards
- Meridian-powered custom modeling
- Agency white-label + revenue share
- Dedicated CSM + weekly cadence
- SLA + SOC 2 report
Annual plans save 17%. Every tier includes SOC 2 Type II reporting and geo-holdout validation.
The operators who shipped this quarter.
Every case has a dollar figure behind it, validated with geo-holdout testing.
Booked jobs in 90 days after reallocating $18k/mo from broad Meta reach to ZIP-targeted Google LSAs.
Annualized waste eliminated by cutting oversaturated ZIPs. Same lead volume, lower CAC across every location.
Co-op ad fund efficiency after rolling out LocalSignal to every unit. Each franchisee shifts spend on their own Monday list.
What people ask on the first call.
Do I need enough spend for this to work?
The floor is roughly $5,000/mo across at least two channels and two service ZIPs. Below that, causal signal is too noisy to be honest with you — we'll say so, and we won't take your money.
Isn't Robyn free? Why can't my team just run it?
They can. It typically takes 6+ months, a Python data scientist, ~$150k in salary, and ~$30k in tooling to get to weekly refits. Or you pay $799/mo and get your first recommendation on Tuesday.
How is this different from CallRail or WhatConverts?
Call tracking is a receipt: it tells you which lead came from which source. LocalSignal is a decision: it tells you where to shift your budget next week and predicts the outcome. Complementary — most customers use both.
How accurate is the model?
Every recommendation ships with a confidence score derived from the model's MAPE and effective sample size per ZIP cluster. Every quarter, we run geo-holdout tests to validate lift against a control. If the model is wrong, you'll know before we do.
What about privacy and PII?
We work in aggregates. Customer ZIPs are the finest granularity we touch — no addresses, no names, no emails cross the modeling layer. SOC 2 Type II. GDPR/CCPA compliant. Full DPA on request.
How long is onboarding?
Median time from signup to first recommendation is 15 minutes for single-location Starter accounts. Franchise HQ deployments with custom modeling take 3–5 business days.
Do you offer an agency plan?
Yes. Full white-label, 30% recurring revenue share, agency dashboard with all your clients in one roll-up view. Talk to us on Scale.
Get your ZIP-level
competitor ad spend report.
Enter your business name and service area. We'll pull competitor Meta and Google ad presence in your ZIPs, overlay Census + IRS income, and deliver a five-page PDF to your inbox. Free. Real data. Real fast.
No credit card. No sales call unless you ask. Trusted by 400+ multi-location operators.