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What Adscalls is

  • Adscalls is an AI-assisted performance marketing orchestration layer built to generate qualified inbound phone calls by automating the digital demand stack—planning → activation → measurement → optimization—while keeping the call interaction fully human.
  • It does not deploy AI voice agents and does not perform outbound dialing. It drives inbound intent and routes calls to your existing team/call center.

Core Architecture (High-Level)

Signal Ingestion & Feature Store

Aggregates:

  • Ad platform telemetry (auctions, queries, clicks, spend)
  • Web analytics events (GA4/Pixel, CTA interactions, engagement depth)
  • Call tracking metadata (DNI mappings, timestamp, geo, device, duration, IVR path)
  • CRM outcomes (dispositions, appointments, revenue)

Normalizes into a feature store for intent, quality, and revenue feedback loops.

Intent Engine (Predictive Inbound Yield)

Models:

  • P(call | session, query, geo, device, time)
  • P(qualified call | touchpoints)
  • Expected value per click/session

Typical methods:

  • GBMs / calibrated classifiers for propensity
  • Embeddings + clustering for query/audience discovery

Anomaly detection to suppress spam/low-quality sources

Campaign Orchestration & Budget Autopilot

A rules + ML policy layer that:

  • reallocates spend across campaigns/keywords/geos
  • tunes bids toward call-conversion and call-quality objectives
  • runs geo-temporal yield shaping (dayparting aligned to staffing + close-rate curves)

Operates as closed-loop optimization against qualified inbound calls, not vanity KPIs.

Conversion Surface Optimization (Call-First UX)

Deploys and tests call-centric surfaces:

  • device-aware click-to-call CTAs
  • trust/proof modules (reviews, badges, service-area validation)
  • friction-minimized “fast-path” flows to dialing

Runs A/B + multivariate experimentation, promoting winners using call volume + quality signals.

Attribution & Incrementality Layer

Implements:

  • Dynamic Number Insertion (DNI) to bind calls to sessions/campaigns/keywords (where available)
  • conversion-path analysis / multi-touch attribution where supportable
  • incrementality testing (geo splits/holdouts) to reduce optimization to noise

Call Quality Scoring (Non-Agent Intelligence)

No AI speaks with customers; intelligence is applied pre/post capture:

  • quality scoring using metadata + outcomes (duration bands, IVR routing, disposition)
  • optional speech-to-text + topic tagging for QA/classification (calls still answered by humans)
  • spam/fraud heuristics to block low-value inventory

End-to-End Mechanics (Inbound Only)

  • Acquire high-intent traffic (Search/Local/SEO/Retargeting) ➜
  • Route to call-optimized surfaces (call extensions, call-first landing pages) ➜
  • Capture inbound calls (tracked numbers + routing rules) ➜
  • Score + attribute (DNI + CRM outcomes) ➜

Optimize (budget/bids/targeting/creative via learning loop)

Explicit Constraints (What Adscalls doesn’t do)

  • No AI voice agents (no synthetic answering/conversations)
  • No outbound dialing (no predictive dialers, no robo-calls)
  • Calls remain inbound and handled by your human operators

Optional Add-On: AI-Based Appointment Setting (Opt-In Only)

  • Available only if explicitly requested (disabled by default).
  • When enabled, it can:
    • Auto-schedule appointments from inbound leads (e.g., post-call or post-form workflows)
    • Sync with calendars/CRM and enforce routing/eligibility rules
  • Default mode remains: inbound call generation and human-handled conversations, with no automated dialing.

Compliance & Safety by Design (Clear Differentiator)

  • No AI voice agents
  • No outbound dialing
  • Inbound-only acquisition

Calls answered by your humans, using your existing process

Data-Driven Approach

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Creative & Innovative

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Transparent Reporting

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