Data Infrastructure · Operational Foundation

Clean Data & Operations That Enable Acquisition at Scale.

Foundation for efficient acquisition: CRM setup, list cleaning, lead routing and analytics infrastructure. Clean data enables faster decision-making and higher-fidelity reporting across every channel you run.

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100+

Data projects completed

45%

Avg reporting accuracy gain

Definition

What is Marketing Operations and Data Readiness?

Marketing operations and data readiness is the discipline of configuring, cleaning and connecting your CRM, analytics and tracking systems so that every marketing decision is made from accurate, current data rather than incomplete records and broken attribution. A company with high data readiness can answer questions such as which channel generated the most revenue last quarter, which lead source has the highest close rate, and which segment converts fastest, directly from a dashboard without manual spreadsheet reconciliation. Koldconvert delivers data readiness through CRM cleanup, lead routing automation, event tracking implementation and reporting infrastructure that connects marketing activity directly to pipeline and revenue.

100+

Data projects completed

45%

Avg reporting accuracy gain

HubSpot + Salesforce

Primary CRM platforms

6-10 weeks

Typical engagement duration

Diagnosis

Signs You Need Marketing Operations and Data Readiness

Your CRM has duplicate contacts, inconsistent field values and lead source data that does not reflect how people actually found you, so attribution reports are unreliable.
Inbound leads are assigned manually or by whoever is first to check their email, meaning response times are slow and lead ownership is disputed between reps.
Marketing and sales report different pipeline numbers because they pull from different systems or apply different definitions to the same stages.
You are spending on paid channels but cannot confidently tell leadership which channel or campaign is generating qualified pipeline versus vanity metrics.
Cold email bounce rates are above 5% because the contact list has not been cleaned or validated, which is burning sender reputation and suppressing deliverability across the whole domain.

Ideal Fit

Who This Is For

Growth-Stage B2B Companies

Series A to Series C companies that have scaled marketing spend but whose data infrastructure has not kept pace. Attribution is broken, CRM hygiene has deteriorated and reporting takes hours of manual reconciliation that a clean data foundation would eliminate.

Companies Switching CRM Platforms

Businesses migrating from Pipedrive to HubSpot, or HubSpot to Salesforce, that need the new CRM configured correctly from day one with clean data, validated field mapping and automated workflows rather than carrying over the mess from the old system.

Teams Scaling Outbound or Paid Campaigns

Marketing teams about to increase outbound or paid spend that need clean contact lists, validated email addresses and reliable attribution before adding budget to a broken stack, because dirty data compounds the cost of every campaign you run on top of it.

RevOps Teams Without a Dedicated Ops Hire

Revenue operations teams that are responsible for the data stack but do not have a specialist marketing operations resource to design and implement attribution models, lead scoring and reporting infrastructure alongside their day-to-day responsibilities.

Deliverables

What You Get

CRM Audit ReportScored assessment of data quality, field architecture, workflow logic and attribution configuration with prioritised recommendations.
Cleaned Contact DatabaseDeduplicated, validated and normalised contact records with consistent field values, verified email addresses and accurate lead source attribution.
Lead Routing WorkflowAutomated lead assignment rules based on territory, company size, industry, product interest or round-robin capacity with fallback handling for edge cases.
Attribution Model ConfigurationFirst-touch, last-touch or multi-touch attribution configured in your CRM with campaign tagging architecture applied consistently across all channels.
GTM Event TrackingGoogle Tag Manager configured with conversion events for forms, demo bookings, content downloads and key page interactions, verified against CRM lead creation.
Reporting DashboardLooker or Metabase dashboard covering pipeline by source, cost per lead by channel, conversion rates by stage and MQL and SQL volume by period.
Data Governance PlaybookDocumented standards for data entry, field usage, lead source tagging and list management so data quality is maintained by the team after the engagement ends.
Team Training SessionLive walkthrough of new workflows, dashboard usage and data entry standards so the team can operate the stack correctly from handoff day.

Components

Data & Operations Services

CRM Setup & Cleanup

HubSpot, Salesforce or Pipedrive configuration. Data normalisation, deduplication and field standardisation for accurate reporting and reliable segmentation.

List Cleaning & Validation

Remove duplicates, validate email addresses and flag invalid records. Increase deliverability and reduce bounce rates in outbound and nurture campaigns.

Lead Routing & Assignment

Automated lead assignment based on territory, segment, product interest and rep capacity. Every lead reaches the right person within minutes, not days.

Analytics & Attribution

GTM event tracking, conversion attribution and dashboard build. Real-time visibility into which channels, campaigns and content pieces generate qualified pipeline.

Our Approach

The Koldconvert Revenue Data Foundation

Most CRM projects clean data in isolation from the campaigns and channels that use it, which means the fix degrades within weeks as inconsistent data entry and unmapped lead sources re-introduce the same problems. Koldconvert approaches data readiness from the attribution backwards: we start by defining what questions your marketing and revenue leadership need to answer, then configure the CRM, tracking and reporting stack to answer those questions reliably. Every field mapping decision, routing rule and dashboard component is made in the context of how it serves a specific acquisition or reporting outcome. The result is a data foundation that does not just look clean on day one but stays clean because the governance rules and team training are built into the handoff, not bolted on as an afterthought.

Process

How We Deliver Data Readiness

Audit

Review current data quality, CRM configuration, tool integrations and reporting workflows. Identify gaps, duplicate records, broken attribution and lead routing failures.

Build and Cleanup

Configure CRM, clean existing data using Segment and Fivetran pipelines, set up lead routing automation and normalise field architecture for consistent reporting.

Analytics and Attribution

Implement GTM event tracking, build Looker or Metabase dashboards and configure attribution models aligned to your channel mix and deal cycle.

Handoff and Governance

Document all workflows, conduct team training and deliver a data governance playbook so quality is maintained by the team after the engagement completes.

Tech Stack

Tools & Technology

HubSpot Salesforce Segment Looker Fivetran dbt Google Tag Manager Zapier Notion Airtable Metabase

HubSpot and Salesforce are the primary CRM platforms. Segment handles customer data ingestion and routing. Fivetran and dbt build and transform data pipelines from source systems into the data warehouse. Google Tag Manager controls all web event tracking. Looker and Metabase power dashboards. Zapier bridges integrations where native connectors are unavailable. Notion and Airtable document governance and project management.

Engagement

How We Work Together

Data Audit Sprint

A one-week structured audit of your CRM data quality, field architecture, lead routing logic and attribution configuration. Delivered as a prioritised findings report with a recommended remediation roadmap. Ideal as a first step before committing to a full cleanup. Fixed fee.

Data Readiness Project

Full CRM cleanup, lead routing build, GTM implementation and dashboard delivery. Scope is set based on the audit findings. Duration: 6-10 weeks for a standard CRM up to 50,000 records. Larger databases and multi-CRM environments are scoped separately. Fixed-price delivery.

Ongoing Ops Retainer

Monthly marketing operations support covering list management, workflow maintenance, reporting updates and ad-hoc data tasks. Suited to growth-stage companies that need an experienced ops partner without the cost of a full-time hire. From GBP 2,000 per month.

Results

What Clients Achieve

Data Readiness Results

What better data enables across your acquisition stack.

100+Data projects completed

45%Avg reporting accuracy improvement

HubSpot + SalesforcePrimary platforms supported

6-10 weeksTypical engagement to full handoff

Industries

Marketing Operations for Your Industry

SaaS & B2B Software

SaaS companies need lead scoring, product-qualified lead routing and attribution models that connect free trial signups to paid conversion. We configure HubSpot or Salesforce to track the full product-led and sales-led motion in a single view.

E-commerce & DTC

E-commerce operations require clean customer segmentation for lifecycle email, accurate ROAS attribution across Meta and Google, and Klaviyo or HubSpot flows that trigger on real purchase and browse behaviour rather than corrupted event data.

FinTech & Payments

FinTech companies operate under data handling requirements that make CRM configuration more complex. We build compliant data architectures that support acquisition reporting without creating regulatory exposure through improper data storage or sharing.

Professional Services

Professional services firms often lack formal CRM discipline because deals come through relationships. We build lightweight CRM configurations that match how the firm actually sells, with attribution that credits the right activity rather than forcing an enterprise sales process onto a relationship-driven business.

Media & Publishing

Media companies managing subscriber data, advertiser relationships and event attendees across multiple tools benefit from unified customer data platforms built on Segment that consolidate identity across channels and support accurate audience segmentation.

Consumer Brands & FMCG

FMCG brands selling direct need clean first-party data infrastructure that survives cookie deprecation. We build Segment-based customer data architectures that capture consent-compliant first-party signals from purchase, browse and email engagement.

Healthcare

Healthcare technology companies require data configurations that handle patient or clinical data carefully, with field-level access controls and audit trails built into the CRM from the start rather than retrofitted after a compliance review.

Hospitality & Travel

Hospitality companies managing booking data, loyalty records and campaign contacts across multiple properties benefit from CRM architectures that unify guest identity and enable personalised re-engagement without duplicating records across locations.

HR Technology

HR tech platforms have a dual audience of HR buyers and end-user employees that must be handled as separate contact types with different routing, nurture and attribution logic to avoid measurement contamination between buyer and user journeys.

Real Estate

Real estate companies managing long consideration cycles need CRM configurations that track multi-month lead journeys accurately, with pipeline stages that reflect the real buyer decision process and attribution that credits research and relationship touchpoints correctly.

Agencies

Marketing and creative agencies that have grown without formalising their own CRM often have the expertise to run data operations for clients but not internally. We build the agency's own marketing stack so new business pipeline is tracked with the same rigour they apply to client work.

Manufacturing

Manufacturers moving from distributor-led to direct sales need CRM infrastructure that captures end-buyer data for the first time, with lead routing that respects existing distributor territories while building a direct pipeline alongside them.

Comparison

Koldconvert vs Typical CRM Consultant

Factor	Koldconvert	Typical CRM Consultant
Scope of work	CRM, tracking, attribution, routing and reporting built as an integrated system	CRM configuration only, isolated from analytics and attribution
Starting point	What questions does revenue leadership need to answer from data?	What does the CRM platform need to be configured to do?
Attribution model	Designed and configured as part of every engagement	Often left to default CRM settings
Campaign connection	Connected to Koldconvert's email, paid and content teams for end-to-end measurement	Delivered in isolation from the campaigns that use the data
Data governance	Governance playbook and team training included in every project	Documentation delivered but training often excluded from scope
Reporting output	Looker or Metabase dashboards built against defined decision use cases	Native CRM reports using default metrics
Reporting accuracy improvement	45% average improvement across completed projects	Not measured

Koldconvert Perspective

"Marketing operations is the only discipline that makes every other marketing investment more efficient, and it is consistently undervalued until attribution breaks and campaign spend can no longer be defended to the board. The companies that invest in data infrastructure before scaling their acquisition spend end up with a meaningful and compounding advantage: they know what works faster, they stop spending on what does not, and they can justify budget increases with evidence rather than advocacy. We have seen companies reduce wasted ad spend by 20-30% within the first quarter after fixing attribution, purely because they could now see which campaigns were generating qualified pipeline and which were generating noise."

Koldconvert Strategy Team

Buyer's Guide

Questions to Ask Any Marketing Operations Agency

Do you start from the data or from the questions the data needs to answer?A good agency starts by defining what decisions your revenue team needs to make from the data, then builds the infrastructure to support those decisions. An agency that starts by configuring the CRM without that context will produce a clean database that still cannot answer your most important questions.
How do you handle historical data during a cleanup?The correct answer is full backup before any changes, archiving rather than deleting bad records and a reversible process at every stage. If the answer involves deleting records without backup or re-importing from source files, historical pipeline data is at risk.
What attribution model do you recommend for our channel mix?The right model depends on your deal cycle length, channel mix and how your buyers engage across touchpoints. An agency that recommends the same model for every client without understanding your specific motion is defaulting to convenience rather than accuracy.
What governance do you put in place to keep data clean after the engagement?Data quality degrades without documented standards and team training. A project that delivers a clean database without a governance playbook and training session will return to the same state within six months as new contacts and records accumulate without consistent entry practices.
How does your work connect to the campaigns we run on the clean data?Marketing operations work done in isolation from campaign strategy often produces infrastructure that is technically correct but practically disconnected. The right agency understands how the data will be used in outbound, paid and email programmes and configures the stack to measure those specific activities.

Key Terms

Glossary

Data Readiness: Data readiness is the degree to which your CRM, analytics and tracking systems are configured accurately enough to support reliable attribution, audience segmentation and pipeline reporting. A company with high data readiness can answer specific revenue questions from a live dashboard without manual data reconciliation.
Multi-Touch Attribution: Multi-touch attribution is a model that distributes revenue credit across multiple marketing touchpoints in the buyer's journey rather than assigning all credit to a single interaction. It is more accurate than first-touch or last-touch models for companies running campaigns across multiple channels with deal cycles longer than two weeks.
Lead Routing: Lead routing is the automated process of assigning inbound leads to specific sales representatives based on predefined rules such as territory, company size, industry or round-robin availability. Automated routing reduces response time, eliminates manual assignment errors and creates a traceable audit trail for attribution purposes.
Customer Data Platform (CDP): A customer data platform is a system that collects, unifies and activates customer data from multiple sources into a single persistent customer profile. CDPs such as Segment resolve identity across devices and channels, enabling personalised marketing and accurate attribution without relying on third-party cookies.
Data Governance: Data governance is the set of policies, standards and processes that define how data is entered, maintained and used within an organisation's systems. Without governance documentation and team training, CRM data quality degrades over time as new records accumulate without consistent standards applied to entry.
MQL and SQL: A Marketing Qualified Lead is a contact that has met a defined threshold of engagement or fit criteria to be considered ready for sales outreach. A Sales Qualified Lead is a contact that has been reviewed by sales and confirmed as a genuine opportunity. The definitions and handoff criteria between MQL and SQL must be agreed between marketing and sales and enforced consistently in the CRM to make pipeline reporting reliable.

Questions

Marketing operations and data, answered

How much does CRM data cleanup cost?

Cost depends on data volume and complexity. A small CRM with 10,000 records typically takes 4-8 weeks. A large CRM with 100,000 or more records takes 8-12 weeks. Koldconvert provides a fixed quote after a one-week audit so you know the full scope before committing.

Will we lose historical data during cleanup?

No. We create full backups before any changes are made. Bad records are archived rather than deleted so you retain full history. The cleanup process is reversible at every stage.

Which CRM platforms do you support?

HubSpot, Salesforce, Pipedrive, Microsoft Dynamics and Zoho. We also work with custom databases and legacy systems through Segment and Fivetran data pipelines.

What tools do you use for automation?

Zapier for cross-platform automation and native CRM workflows for reliability within HubSpot or Salesforce. We prefer native CRM automation where possible to reduce dependency on third-party connectors and improve maintainability.

Why does clean data matter for marketing?

Dirty data means inaccurate attribution, wasted ad spend targeting the wrong contacts and missed follow-ups where leads fall through routing gaps. Clean CRM data enables precise segmentation, accurate ROAS measurement and automated lead assignment. Every campaign performs better on a clean foundation.

What is marketing data readiness?

Marketing data readiness is the state in which your CRM, analytics and tracking systems are configured accurately enough to support reliable attribution, segmentation and reporting. A company with high data readiness can answer questions like which channel generated the most revenue last quarter from a single dashboard in under five minutes.

How long does a typical marketing operations engagement take?

A standard engagement takes 6-10 weeks: one week for audit, three to five weeks for build and cleanup, and two weeks for analytics setup and handoff. Larger programmes with complex data migrations or multi-CRM environments take longer and are scoped individually.

Can you work with our existing CRM without migrating to a new platform?

Yes. Most engagements involve cleaning and reconfiguring an existing CRM rather than migrating. We recommend migration only when the current platform cannot support the required workflows or integrations at acceptable cost.

What is lead routing and why does it matter?

Lead routing is the automated process of assigning inbound leads to the correct sales rep based on rules such as territory, company size or product interest. Without it, leads are manually assigned, which introduces delays and inconsistencies that reduce conversion rates and obscure attribution data.

Should marketing operations be handled in-house or by an agency?

In-house makes sense when you have a dedicated marketing operations manager with platform expertise. For companies without that resource, or for one-time cleanup and build projects, an agency delivers faster results and avoids the overhead of a full-time hire for project-based work.

What is multi-touch attribution and do we need it?

Multi-touch attribution is a model that distributes credit for a conversion across multiple touchpoints in the buyer journey rather than assigning all credit to the first or last interaction. You need it if you run campaigns across more than two channels and want to know which combination of touchpoints drives the highest-quality pipeline.

What reporting dashboards do you build?

We build dashboards in Looker, Metabase or native CRM reporting covering pipeline by source, cost per lead by channel, conversion rates by stage and monthly MQL and SQL volume. Every dashboard is built against a defined decision-making use case, not as a generic metrics collection.

Ready to fix your data foundation?

Book a strategy call. We will review your current CRM, attribution and analytics setup and recommend the priorities that will have the fastest impact on campaign performance and reporting accuracy.

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