WhatConverts

Implementation, training & consulting · 33 guides

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About WhatConverts

Operational Deployment and Workflow Placement

WhatConverts functions as a data orchestration layer that sits between inbound inquiries and downstream sales analytics. In practice, WhatConverts collects lead source information from multiple channels, normalizes it into a unified attribution model, and then feeds the data into a client s CRM or marketing stack.

The system is arranged to operate at the point of contact, capturing details like form submissions calls and chat transcripts, and then translating these signals into a traceable set of conversions.

WhatConverts is positioned to align with the client s existing workflows by mapping each lead capture point to a consistent source category, enabling teams to see which channels deliver qualified prospects.

The platform supports batch and real time processing, with real time triggers that can flag high value leads for immediate routing and nurturing, while batch processing supports periodic reporting and reconciliation activities within the WhatConverts environment.

As an operational asset, WhatConverts is frequently configured to run alongside analytics platforms and CRMs, ensuring that conversion data remains aligned with customer journey stages and revenue attribution expectations.

WhatConverts provides guidance on configuring fields and mapping to client side data schemas, so the lead data can be consumed by the client s decision pathways with minimal manual adjustment.

The material produced by WhatConverts becomes a living feed that can be consumed by dashboards, CRM pipelines, and marketing automation flows, providing teams with a consistent single source of truth about where inquiries originate and how they progress through the funnel.

Category: Analytics and Insights contextually anchors WhatConverts within a broader data strategy and emphasizes its role in operational telemetry for campaigns across multiple channels.

Delivery Role and Governance at Scale

WhatConverts acts as a governance layer that governs attribution semantics across campaigns, partners, and touchpoints. The delivery role includes standardized data extraction, normalization, and enrichment routines that reconcile disparate data formats into a common schema.

The tooling supports multi account deployments, role based access controls, and audit trails that help stakeholders trace who configured a data mapping and when changes occurred. As scale increases, WhatConverts supports centralized configuration management with per account templates, ensuring that onboarding developers and client success managers have a repeatable playbook.

The platform is designed to handle increasing volumes of form fills, call recordings, and chat interactions while preserving data integrity through deduplication and source verification processes. Governance practices emphasize data quality checks, runbooks for outage scenarios, and documented SLAs for data delivery to integrated systems such as CRMs and BI tools.

Through structured governance and repeatable deployment patterns WhatConverts becomes a reliable backbone for ongoing attribution reporting and cross channel measurement, helping teams avoid data fragmentation and misattribution.

WhatConverts supports flexible scheduling for data exports and AI powered enrichment that can add context such as lead value estimates and lifecycle stage heuristics to the stream of insights.

Integration Patterns and Team Interactions

WhatConverts integrates with client ecosystems through a combination of API based data transfer, native connectors, and webhook driven events.

The integration patterns enable the rapid onboarding of new channels, including:

  • Paid search
  • Social media
  • Email campaigns
  • Phone tracking
  • Website forms

WhatConverts supplies deterministic mapping for source categories and conversion events, allowing marketing, sales, and data teams to collaborate around a shared model. The operational teams rely on WhatConverts as the bridge that translates inquiry signals into decision ready data for CRM updates, marketing automation triggers, and BI dashboards.

Data engineers set up connectors and data stewards validate data quality, while marketers and sales representatives interact with the live dashboards to monitor performance, adjust attribution rules, and refine campaign budgets.

WhatConverts thus occupies a collaborative space where different functional units coordinate around a single attribution narrative, with WhatConverts providing the central vocabulary and the actionable signals that drive outbound outreach and conversion optimization.

The platform s flexibility supports phased adoption so that early pilots focus on high value channels and later expand to include additional data sources as confidence grows.

Governance, Scale, and Continuous Improvement

Operational governance centers on left shifting data integrity into the ingestion pipeline and right shifting decisions to business users through accessible dashboards. WhatConverts offers monitoring, alerts, and scheduled reports that help teams observe data latency, error rates, and field level completeness.

As data volumes grow, the system scales by distributing processing across shards or parallel jobs, preserving performance while expanding coverage across more channels. Continuous improvement is facilitated by quarterly reviews, where attribution models are recalibrated, new data sources are added, and integration patterns are refined to reflect changing marketing tactics.

WhatConverts remains a practical instrument for maintaining a coherent cross channel attribution conversation, ensuring that category definitions remain stable and that the operational team can translate insights into action.

Category: Analytics and Insights contextually anchors WhatConverts within a broader data strategy and emphasizes its role in operational telemetry for campaigns across multiple channels.

WhatConverts and the tools around it

Tools we commonly connect with WhatConverts through its API, webhooks and automation platforms. What is possible depends on your plan and setup.

How we can help with WhatConverts

Features

5 guides

Integrations

7 guides

Automation

1 guide

What WhatConverts actually automates

WhatConverts automates the attribution pipeline: dynamic number insertion swaps tracking numbers by traffic source automatically, and every call, form, chat, or transaction gets tagged with source/medium/campaign/keyword data without manual entry.

That tagged data pushes out through native integrations to Google Ads, Google Analytics, Google Business Profile, Facebook Ads, Salesforce, HubSpot, and dozens more via Zapier. Offline conversion imports back into Google Ads and Meta are a core automated workflow, not an add-on.

We build automation around that real pipeline — tracking number provisioning, lead tagging rules, and the integration mappings that push scored, attributed leads into your CRM and ad platforms — rather than treating WhatConverts as a general workflow engine it isn’t.

Who it’s for

Marketing teams and agencies running paid search or SEO campaigns who need call and form conversions attributed and pushed back into ad platforms automatically, and multi-location businesses that need dynamic number insertion configured correctly across many tracking numbers and locations.

How outcomes are supported

Dynamic number insertion and call tracking configured per campaign and location; lead-tagging rules set up so calls, forms, and chats are attributed consistently across source, medium, and keyword; and native integrations to Google Ads, Google Analytics, and your CRM configured for offline conversion import, so ad spend optimization runs on real lead data.

WhatConverts’ automation is genuinely strong on attribution and integration mapping; it does not include a general-purpose workflow builder, so anything beyond tracking and tagging still needs an external tool like Zapier.

WhatConverts Use Cases — Automation

WhatConverts enables automated flows that reduce manual work while increasing visibility into performance.

  • Automatic assignment of high-intent inquiries to the right sales queue based on WhatConverts scoring rules.
  • Triggered alerts when a campaign underperforms against defined attribution benchmarks via WhatConverts dashboards.
  • Bulk data enrichment and normalization for cross-channel attribution in WhatConverts insights.
  • Scheduled nightly data reconciliations between WhatConverts and your CRM to keep lead status aligned.
  • Event-driven updates to reporting packs that executives review in WhatConverts executive dashboards.
  • Automated tagging and categorization of conversions to support multi-brand reporting in WhatConverts.
  • Rule-based routing that adapts to regional campaigns without disrupting ongoing activities.
  • Quality checks and automated anomaly detection using WhatConverts data so teams act quickly.
  • Integration-ready automation templates that can be deployed to new markets via WhatConverts connectors.
  • Compliance- and privacy-aware automation that logs decisions and data lineage in WhatConverts.

As a practical result, WhatConverts helps reduce manual toil and accelerates insight-to-action cycles. The automation framework scales with your growth, with WhatConverts maintaining control and observability every step of the way.

Open the full guide: Automation →

AI capabilities

1 guide

What “AI” means inside WhatConverts

WhatConverts is a lead tracking and marketing attribution platform: it captures phone calls (with dynamic number insertion to attribute the call to the ad or keyword that drove it), form fills, chats, and transactions, then tags each one with source, campaign, and keyword data. Its genuinely AI-adjacent feature is call transcription paired with automated lead scoring — WhatConverts can transcribe recorded calls and apply scoring rules that flag call quality, so a sales team can prioritize which calls were real opportunities versus wrong numbers or spam.

That’s the honest scope. WhatConverts is not a predictive-modeling platform and doesn’t build custom machine-learning models on your data — the “intelligence” here is transcription plus rules-based scoring, applied consistently across every tracked interaction, not an experimental data-science layer.

Who it’s for

Marketing teams and agencies who want call transcripts and automated lead-quality flags instead of manually listening to recordings, and PPC or SEO teams who need call and form data scored consistently enough to feed back into Google Ads or Google Analytics as an offline conversion signal.

How outcomes are supported

Call transcription and scoring configured against your actual lead-quality criteria, not a generic template; scored leads exported or pushed into your CRM and ad platforms so spend optimization is based on real lead quality, not just call volume; and a clear line drawn between what WhatConverts’ scoring can flag automatically and what still needs a human review.

WhatConverts’ AI-adjacent features are narrow and specific — transcription and lead scoring — and we scope work to that reality instead of promising broader machine intelligence the platform doesn’t have.

WhatConverts AI Use Cases

Concrete AI-enabled scenarios show how insights translate into action.

  • Predictive lead scoring that prioritizes high-intent prospects in WhatConverts.
  • Automated anomaly detection flags in attribution data to surface anomalies quickly.
  • WhatConverts-assisted recommendations for channel reallocation based on event signals.
  • Interpretability reports that explain why a model assigns a given score within WhatConverts contexts.
  • Forecasting campaign ROI using AI-enhanced attribution baselines in WhatConverts.
  • Intelligent routing that adapts to lead quality signals in WhatConverts CRM feeds.
  • AI-driven pacing recommendations to optimize spend across channels via WhatConverts dashboards.
  • Scenario modeling to compare outcome options before launching a new initiative in WhatConverts.
  • Continuous learning loops that incorporate new data without disrupting existing setups in WhatConverts.
  • AI guardrails and ethics checks embedded in WhatConverts workflows.

WhatConverts AI efforts deliver smarter decisions, augmented by data science, while keeping control and transparency for stakeholders.

Open the full guide: AI →

Comparisons

7 guides

WhatConverts FAQ

9 questions
Can WhatConverts be customized to fit my organization's reporting needs?

WhatConverts organizes captured activity into four lead types -- Phone Calls, Web Forms, Chats, and Transactions -- and reporting can be filtered and grouped by any of these alongside source, medium, campaign, and keyword attribution data pulled from the visitor's original traffic source.

Practical Details

Each lead record supports a manually assignable Lead Value (a dollar figure representing what that lead is worth) and a quality tag (marking a lead as good or bad), which is what turns raw call and form volume into an ROI-oriented report rather than just a activity count.

Actionable Considerations

  • Filter and group reports by lead type (calls, forms, chats, transactions) rather than treating all conversions as equivalent.
  • Assign Lead Value and quality tags consistently, since that's what enables genuine ROI reporting, not just volume tracking.
  • Build saved report views for recurring stakeholder updates rather than reconfiguring filters each time.
Does WhatConverts include AI capabilities for attribution insights?

WhatConverts doesn't have a flagship generative AI feature -- its value is in structured attribution data aggregation (matching leads to source, medium, campaign, and keyword) rather than machine-learning-driven analysis or recommendations.

Practical Details

Any "smart" behavior is limited to standard reporting aggregation and trend surfacing in dashboards, which still requires a human to interpret and act on -- treat WhatConverts as a clean attribution data source to feed your own analysis, not an AI advisor making decisions for you.

Actionable Considerations

  • Don't expect generative AI or automated recommendations; WhatConverts' strength is clean, structured attribution data.
  • Use WhatConverts as the attribution data source feeding your own analysis or BI tool, not as an analysis layer itself.
  • Review dashboard trends manually with your team rather than expecting automated insight generation.
How does WhatConverts scale with larger teams and higher data volumes?

WhatConverts scales by plan tier tied to lead volume and the number of tracking numbers or sub-accounts needed, which matters specifically for marketing agencies managing attribution for many clients under one WhatConverts account rather than a single business tracking its own leads.

Practical Details

Agencies running multiple client accounts typically use WhatConverts' sub-account or client-separation structure to keep each client's lead data and reporting isolated, rather than mixing all clients' data into one undifferentiated account.

Actionable Considerations

  • Budget for plan-tier increases as lead volume or the number of tracking numbers grows.
  • Use client sub-accounts or account separation if managing attribution for multiple clients, rather than mixing data in one account.
  • Review dynamic number pool sizing periodically as traffic volume changes, since too few numbers can cause misattribution under high concurrent call volume.
How does the setup process with WhatConverts work for new teams?

Initial setup means installing the WhatConverts tracking script on your site, configuring dynamic number insertion with a pool of tracking numbers if phone call attribution matters, and setting up form and chat tracking for the specific tools already in use on the site.

Implementation Steps

Connecting Google Ads and Google Analytics early is worth prioritizing, since offline conversion import (sending lead and value data back to Google) depends on that integration being correctly configured from the start, not bolted on after weeks of untracked conversions.

Actionable Setup Tips

  1. Install the tracking script and configure dynamic number insertion before launching any paid campaigns you want call attribution for.
  2. Connect Google Ads and Google Analytics integrations early so offline conversion data starts flowing from day one.
  3. Test each lead type (calls, forms, chats, transactions) end-to-end before considering setup complete.
What are the security and permissions controls in WhatConverts?

WhatConverts supports role-based user accounts within an account, scoping who can view call recordings and lead details versus who only sees aggregate reporting -- relevant since call recordings can contain sensitive customer conversations that not every team member needs access to.

Practical Details

Because WhatConverts records phone calls for attribution and quality review, call recording consent and compliance (two-party consent laws vary by US state, and equivalents exist elsewhere) is a real legal consideration for the business using it, not something WhatConverts itself manages on your behalf.

Actionable Considerations

  1. Scope access to call recordings specifically, not just dashboard-level reporting, since recordings can contain sensitive conversations.
  2. Confirm call recording consent requirements for your jurisdiction before enabling call recording broadly.
  3. Review user access periodically, especially for agency accounts managing multiple clients' lead data.
What data sources can WhatConverts ingest for accurate attribution?

WhatConverts captures four distinct lead types -- Phone Calls (via dynamic number insertion, swapping tracking numbers based on traffic source to attribute calls to a specific channel or keyword), Web Forms, Chats, and Transactions -- rather than treating every conversion as an undifferentiated event.

Practical Details

Dynamic number insertion specifically requires a pool of tracking numbers swapped into your site based on the visitor's referral source, which is the mechanism that makes call-level keyword attribution possible -- without it, calls can only be attributed to a general source, not a specific campaign or keyword.

Actionable Considerations

  1. Confirm dynamic number insertion is correctly configured if keyword-level call attribution (not just source-level) is the goal.
  2. Set up all four lead-type sources (calls, forms, chats, transactions) relevant to your business, rather than tracking only one and missing others.
  3. Test end-to-end data flow for each lead type before relying on the reporting for real decisions.
What engagement should teams expect after implementing WhatConverts?

Realistic value from WhatConverts comes from being able to trace a specific converted lead -- a phone call, a form fill -- back to the exact keyword, ad, or campaign that drove it, which is the core problem it solves for marketing agencies and in-house teams justifying ad spend.

Practical Details

Attribution quality depends on consistent lead tagging (marking leads as good or bad, assigning Lead Value) over time -- a team that skips this step still gets volume and source data, but loses the ROI-level reporting that's WhatConverts' actual differentiator over basic analytics.

Actionable Considerations

  1. Commit to consistent lead tagging and Lead Value assignment, since that's what unlocks ROI reporting, not just call/form volume.
  2. Review attribution reports on a regular cadence with both marketing and sales, since the data spans both functions.
  3. Expect the most value on paid channels (PPC, paid social) where keyword- and campaign-level attribution directly informs spend decisions.
What types of integrations and automation does WhatConverts support?

WhatConverts integrates with Google Ads and Google Analytics specifically to push lead and conversion-value data back as offline conversions -- meaning a phone call or form fill tracked in WhatConverts can inform Google Ads' own bidding and reporting, not just live in a separate dashboard.

Practical Details

Native CRM integrations (including common platforms like HubSpot and Salesforce) sync lead records, and Zapier coverage extends automation to tools without a direct connector -- lead routing and alert notifications are the most common automations built on top of these integrations.

Actionable Considerations

  1. Set up the Google Ads/Analytics offline conversion import specifically if paid search attribution and bid optimization are a goal, not just reporting.
  2. Use a native CRM integration where available before falling back to Zapier for less common tools.
  3. Configure lead-routing or alert automations for time-sensitive lead types, like new phone calls needing fast follow-up.
What value does WhatConverts provide for buyers evaluating attribution and lead tracking?

WhatConverts is a lead tracking and marketing attribution platform built around four lead types -- Phone Calls, Web Forms, Chats, and Transactions -- primarily used by marketing agencies and in-house teams to trace which channel, campaign, or keyword actually drove a converted lead, not just website traffic.

How It Helps You Implement

Its real differentiator against basic web analytics is dynamic number insertion for phone-call attribution down to the keyword level, combined with manually assignable Lead Value scoring that turns raw conversion counts into ROI-oriented reporting tied back to ad spend.

Key Considerations

  • Evaluate WhatConverts specifically if phone-call attribution to keyword or campaign level is a real requirement, since that's its core strength.
  • Plan to assign Lead Value and quality tags consistently, since that's what produces genuine ROI reporting rather than just volume counts.
  • Consider WhatConverts' agency sub-account structure if managing attribution for multiple client accounts.

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