Attribution that finally adds up — across every location and every channel
A single attribution view that combines what is happening online (paid, organic, email) with what is happening offline (calls, foot traffic, POS), at every location, in your finance team's language.
The problem
Your CFO wants a monthly attribution report for 200 locations across three brands. Online data lives in Google Ads, Meta Ads, GA4, Mixpanel, and Klaviyo. Offline data lives in your POS, your call-tracking platform, your foot-traffic tool, and Google Business Profile. Your marketing analytics director spends more than half her time reconciling eight platforms into an Excel rollup. The quarterly board deck attribution slide is consistently four weeks late. The multi-touch attribution platforms (Rockerbox, Northbeam, Triple Whale) are sharp for DTC ecommerce but were not built to combine in-store visits with paid ads. The MMM consultancies (Nielsen, McKinsey QuantumBlack, Bain) deliver one big report every quarter for $250,000 and up. None of these answer the question your franchisees keep asking: which specific marketing dollar drove which specific revenue at my specific location last month?
What success looks like
One attribution view. Online sources (paid, organic, email, SMS, social) and offline sources (calls, foot traffic, in-store POS, Google Business Profile) combine into a single roll-up. Per-location, per-brand, per-vertical, per-channel, per-cohort, per-campaign — pick the slice. Your finance team picks the methodology that suits the question (last-touch, first-touch, linear, time-decay, position-based, data-driven, or marketing-mix modeling) and the same numbers reconcile across every report. The board deck is ready on day one of the month, not week four. Regulated-vertical compliance disclosures get applied automatically where required. Every methodology choice and every roll-up calculation is preserved so an auditor, a board member, or a regulator can ask how a number was produced and get a straight answer.
How most operators solve this today
Six categories of tools touch attribution. None of them solve the combined online-plus-offline, per-location problem cleanly.
Multi-touch attribution and MMM platforms (Rockerbox, Northbeam, Triple Whale, Nielsen MMM, Analytic Partners, Marketing Evolution)
$100 to $500,000+ per year
Strong for online DTC ecommerce. They were not built to combine in-store visits, calls, and POS with paid ads.
Analytics suites with attribution (GA4, Adobe Analytics, Looker, Tableau, Mixpanel, Amplitude)
Free to $300,000+ per year
Each one only sees its own data. Multi-platform operators get one attribution view per platform.
Customer 360 platforms (Salesforce Datorama, Adobe Real-Time CDP, Oracle Unity, Tealium Predict, Klaviyo CDP)
$25,000 to $300,000+ per year
Attribution comes bundled with the CDP. Cross-platform consolidation is still manual.
Enterprise MMM consultancies (Bain, McKinsey QuantumBlack, Ipsos MMA, Kantar)
$250,000 to $1,500,000+ per engagement
A deep report once a quarter. Not continuous, not per-location, not affordable for most operators.
In-house finance and analytics team
$90,000 to $200,000 per year, per person
A capable team can build the roll-up by hand. It consumes most of their time and the report still arrives weeks late.
Build it in-house
Data analyst plus a warehouse plus ongoing maintenance
Custom SQL and Excel work for one brand at one point in time. They struggle to keep up as channels, locations, and methodologies change.
What changes when this is an agent skill
Every paid and organic channel, every email and SMS platform, every call-tracking tool, every foot-traffic source, every POS, and every Google Business Profile gets pulled into one attribution view. Per-location, per-brand, per-vertical, per-channel, per-cohort — you pick the slice. The methodology is yours to choose: last-touch, first-touch, linear, time-decay, position-based, data-driven (Shapley or Markov), or marketing-mix modeling. The same numbers reconcile across every report because they come from the same underlying customer record. The board deck attribution slide is ready on day one. Regulated-vertical compliance disclosures apply automatically where they need to. Every methodology choice and every roll-up calculation is preserved with a timestamp, so a finance leader, a board member, or a regulator who asks how a number was built gets a direct answer. Rockerbox, Northbeam, Triple Whale, and Nielsen MMM remain reasonable choices for the specific problems they were built for. This sits at the layer above them — combining online and offline, every location, every brand, into one view.
Agents that include this skill
Skills live inside agent rentals. To get this skill in production, hire any of the agents below — context-tuning at onboarding is included in the first month.
Per-Location Rollup + Executive Reporting Agent
CFO / board / PE-sponsor / franchisee-council reporting surface — cohort-framed rollups, drivers analysis, forward-looking recommendations.
FAQ
- How is this different from Rockerbox, Northbeam, or Triple Whale?
- Those platforms are very good at online DTC ecommerce attribution. They were not built to combine in-store visits, inbound calls, and POS receipts with paid ads at every location. This sits at the multi-location, online-plus-offline layer.
- How is this different from Nielsen MMM or McKinsey QuantumBlack?
- Those are deep quarterly consulting engagements at $250,000 and up. They produce one big report every few months. This produces continuous, per-location attribution every day.
- How is this different from GA4 attribution?
- GA4 only sees what happens on your website. It does not see calls, foot traffic, POS receipts, or activity inside email and SMS platforms. This combines all of those into one view.
- Which attribution methodologies are supported?
- Last-touch, first-touch, linear, time-decay, position-based, data-driven (Shapley or Markov), and marketing-mix modeling. Your finance team picks the method that matches the question.
- How does it pull in calls, foot traffic, and POS?
- Through pre-built integrations with the major call-tracking, foot-traffic, and POS platforms — plus custom adapters for systems you already use. Identity resolution joins those offline touchpoints to the same customer record the online channels see.
- What slicing dimensions are supported?
- Per-location, per-brand, per-vertical, per-channel, per-campaign, per-cohort, per-product, per-marketplace, per-jurisdiction. Mix and match.
- How are regulated verticals handled?
- Compliance disclosures (HIPAA for healthcare, FINRA for financial, state attorney-general rules for ) apply automatically where required. The same data, the right framing.
- How is this priced?
- Per engagement, not per location or per data row. Adding locations does not multiply the bill.