Technology Consulting · Salesforce
Salesforce Sales Cloud:
The Revenue Hub That Connects Marketing, Sales, and the Pipeline
Salesforce Sales Cloud is the system of record that every other revenue technology connects to — and the platform where pipeline is created, qualified, tracked, and closed. Most Salesforce implementations are configured for the sales team's CRM needs in isolation. TPG configures Salesforce as the revenue marketing hub it was designed to be: connected to marketing automation for lead flow and attribution, structured for the actual sales process rather than for reporting convenience, and reporting on revenue outcomes rather than activity counts. 19 years of experience. No shortcuts.
This guide covers ten dimensions of Salesforce Sales Cloud consulting — from assessment and CRM implementation through data model design, marketing automation integration, lead management, revenue attribution reporting, customization, data governance, training, and ongoing managed services.
What Is Salesforce Sales Cloud?
Salesforce is the revenue hub — not just the sales team's contact database
Salesforce Sales Cloud is the most widely deployed CRM in B2B enterprise sales and the system of record where the business's revenue picture lives: pipeline value by stage, close rates by rep and territory, forecast accuracy, win/loss reasons, and the customer history that informs expansion and renewal conversations. But most Salesforce implementations fall short of this potential because they were configured as a contact and deal database for sales, not as the revenue hub that connects marketing automation lead flow, campaign attribution, and sales execution into a single coherent system.
The difference between a Salesforce instance that functions as a revenue hub and one that functions as a sales contact database is architecture. A revenue hub has a data model designed around the actual buying committee structure: contacts with roles, accounts with firmographic completeness, opportunities with stage definitions that reflect genuine pipeline milestones, and campaign membership records that connect marketing touches to revenue outcomes. A contact database has contacts, companies, and deals — created as they were needed, named inconsistently, with no design logic connecting them to the revenue motion they are supposed to serve.
TPG approaches Salesforce consulting from the revenue marketing perspective. The Salesforce data model we design reflects the organization's ICP, buying committee structure, and lead management architecture. The pipeline stages we define reflect the actual sales process conversion milestones, not the milestones sales representatives prefer to report. The integration architecture we implement connects Salesforce bidirectionally to every marketing automation platform that feeds it. And the reporting we build produces the attribution data that connects marketing investment to pipeline and closed revenue — not the activity dashboards that describe what the sales team has been doing without revealing what is working.
The TPG Principle: Salesforce is the revenue hub, not the sales CRM. A Salesforce instance that is only configured for sales produces pipeline reports. A Salesforce instance configured as the revenue hub produces attribution reports that tell the CMO and CRO which investments are generating revenue. That configuration difference is the difference between a CRM and a revenue intelligence system.
Salesforce as the Revenue Hub
Salesforce connects every revenue technology in the stack
Salesforce Sales Cloud is the integration hub that every other revenue technology connects to. TPG configures Salesforce and its integrations to produce the bidirectional data flows that enable revenue marketing execution and attribution.
Marketo Engage
Bidirectional sync of leads, contacts, and campaign membership. Lead scores and engagement activity visible in Salesforce for sales. Attribution tracking from Marketo program touches to Salesforce opportunities.
Oracle Eloqua
Native Eloqua-Salesforce integration with field mapping documentation, sync filter design, deduplication logic, and campaign membership attribution sync for pipeline reporting.
HubSpot
HubSpot-Salesforce native connector with bidirectional contact, company, deal, and activity sync. Marketing engagement history visible to sales. Campaign attribution connected to Salesforce opportunities.
Salesforce Marketing Cloud
Marketing Cloud Connect integration for unified contact data, journey-triggered Salesforce activity creation, and closed-loop campaign reporting connecting Marketing Cloud sends to Salesforce pipeline.
Salesforce Pardot (MCAE)
Connected Campaigns setup, Pardot-Salesforce sync configuration, Engagement History dashboards for marketing activity visibility in Salesforce, and B2B Marketing Analytics attribution reporting.
Section 01
Salesforce Assessment and Strategy
How TPG evaluates an existing Salesforce instance — or designs the strategy for a new one — from the revenue marketing perspective, examining not just CRM health but integration quality, attribution architecture, and pipeline reporting accuracy.
What a Salesforce assessment finds when viewed through the revenue marketing lens
Salesforce assessments conducted by pure CRM consultants evaluate the instance against Salesforce best practices: data model complexity, automation efficiency, security configuration, performance. These are important dimensions. But a Salesforce assessment conducted from the revenue marketing perspective finds the additional problems that produce the most significant business impact: the marketing automation integration is passing lead data but not campaign attribution data, so there is no marketing-to-revenue reporting. The lead management architecture routes leads to Salesforce but the assignment rules are based on an outdated territory model, so qualified leads are going to the wrong sales representatives. The opportunity pipeline stages were defined by the sales operations team to match sales reporting preferences, not to reflect actual conversion milestones, so the pipeline forecasts are systematically inaccurate. The CRM data quality has accumulated years of duplicates and inconsistent field values that make account-level reporting unreliable. And the reporting dashboards show activity metrics rather than pipeline conversion rates, so the CMO and CRO are making decisions from data that describes effort rather than outcome.
TPG conducts Salesforce assessments across six dimensions: data model health (object architecture, field usage, duplicate rate, and data standardization quality), integration health (all connected platform sync completeness, field mapping accuracy, and error rate), pipeline architecture (stage definitions against the actual sales process, forecast accuracy, and conversion rate visibility), lead management (routing logic accuracy, assignment rule currency, and SLA compliance), reporting (whether dashboards produce revenue attribution data or activity data), and platform governance (user role design, automation documentation, and change management process). The assessment produces a dimension scorecard, a prioritized gap list, and a phased improvement roadmap sequenced by revenue impact per remediation effort.
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Section 02
Salesforce CRM Implementation
How TPG designs and deploys new Salesforce Sales Cloud implementations — building the data model, pipeline architecture, integration connections, and reporting framework before any sales team data migration begins.
Why Salesforce implementations fail when they start with data migration before the data model is designed
The most common Salesforce implementation failure is migrating data from the legacy CRM to Salesforce before the Salesforce data model is designed. Contact and account records are imported as-is, carrying the naming inconsistencies, field mismatches, and relationship gaps from the source system into the new environment. Deal records are imported with the legacy pipeline stages mapped to Salesforce stages that were named to match them, rather than stages designed to reflect how the sales process actually works in Salesforce. Integration connections are built to replicate the legacy data flows rather than to design the optimal data architecture for the new environment. The result is a Salesforce instance that has all the data from the old CRM and inherits all the data quality and architecture problems that made the old CRM unsatisfactory. The migration "succeeded" technically while the business problem was reproduced rather than solved.
TPG runs Salesforce implementations in three phases: design (data model design including object architecture, field design, contact-account-opportunity relationship structure, lead management architecture, integration specification, and reporting requirements; all documented and reviewed with sales, marketing, and sales operations before any configuration begins), build (Salesforce configuration, integration implementation, automation build, role and permission design, dashboard build, and test environment validation), and launch (data migration with deduplication and standardization, user acceptance testing, go-live execution, and 30-day hypercare support). The design phase takes as long as it needs to take — typically two to four weeks for a complex enterprise implementation — because every data model decision made correctly in this phase prevents the architectural remediation that most Salesforce organizations eventually pay for.
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Section 03
Salesforce Data Model and Pipeline Architecture
How TPG designs the Salesforce data model and pipeline architecture that reflects the actual B2B sales process — including account hierarchy, buying committee contact roles, opportunity stages, and forecast categories.
Why pipeline stage design is the most consequential Salesforce architecture decision
Salesforce pipeline stages are the most consequential architecture decision in any Sales Cloud implementation, and the most commonly misdesigned. Stages that reflect sales reporting preferences rather than actual conversion milestones produce pipeline reports that look confident but are unreliable: deals in a "Proposal Sent" stage may be genuinely advancing or may be stalled deals whose stage has not been updated in weeks. Stages that are too granular for the actual sales process produce adoption failures: sales representatives do not update stages they do not understand or cannot consistently apply, so the pipeline data reflects administrative compliance rather than deal reality. And stages that are not connected to entry and exit criteria produce forecast inaccuracy: without defined behavioral criteria for each stage, two sales representatives with identical pipeline values may be reporting very different actual probabilities of close.
TPG designs Salesforce pipeline stages by working backward from closed-won analysis: which behavioral milestones were present in the deals that closed, in what sequence, and with what minimum conversion rates between stages? This produces a stage architecture that reflects genuine pipeline progression rather than sales team preferences. Each stage has a defined name, a behavioral criterion for entry, a behavioral criterion for exit, and a forecast category assignment that accurately represents the probability of close for deals at that stage. Complementing the opportunity stage design, TPG designs the contact role architecture that maps buying committee members to their roles on each opportunity (economic buyer, technical evaluator, champion, procurement), enabling the account-level pipeline reporting and sales coaching that opportunity-level reporting alone cannot produce.
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Section 04
Salesforce Integration with Marketing Automation
How TPG designs and implements Salesforce's integrations with Marketo, Eloqua, HubSpot, Marketing Cloud, and Pardot — for clean bidirectional data flow, accurate attribution, and sales visibility into marketing engagement.
Why marketing automation-Salesforce integrations fail and what correct configuration looks like
Marketing automation-Salesforce integrations fail for four consistent reasons. Missing field mappings: the integration passes contact data but not the campaign membership records required for attribution, so pipeline reports cannot connect marketing touches to revenue. Sync filter failures: integration sync filters were not designed to control which records are exchanged, so marketing automation test contacts appear in Salesforce as leads and non-marketing contacts flood the marketing automation database with records that should not receive campaign emails. Deduplication gaps: the integration creates new lead records in Salesforce every time a known contact submits a marketing form rather than updating the existing record, producing duplicate contact and lead proliferation. And attribution model misalignment: the marketing attribution model in the marketing automation platform does not match the campaign influence model configured in Salesforce, producing attribution numbers that marketing and sales cannot reconcile.
TPG designs marketing automation-Salesforce integrations from a data contract that documents every field exchanged between the two platforms, the sync direction and timing, the filter criteria controlling record exchange, the deduplication logic preventing duplicate creation, and the campaign membership attribution architecture connecting marketing touches to Salesforce opportunities. The attribution architecture is the most critical and most commonly omitted component: it requires that the marketing automation platform is syncing program or campaign membership records to Salesforce campaign member objects, that Salesforce campaign influence is configured to apply the chosen attribution model to open and closed opportunities, and that the revenue attribution dashboards present the connected data in a format that both marketing and sales can read from the same source.
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Section 05
Salesforce Lead Management and Routing
How TPG designs Salesforce lead assignment rules, routing automation, SLA enforcement, and lead conversion architecture that connects marketing qualification to sales engagement without gaps.
The lead routing architecture most Salesforce implementations get wrong
Lead routing in Salesforce is the process of taking a marketing-qualified lead and delivering it to the correct sales representative, in the correct state, with the correct context, at the correct time. Most Salesforce implementations get at least one of these dimensions wrong. Assignment rules route leads to the correct territory but to a sales development queue rather than to a named representative, producing response time failures because queue management is inconsistent. The lead arrives in Salesforce without the context the sales representative needs for the initial outreach — no indication of which campaigns the contact engaged with, which content they consumed, or what behavioral signals preceded the MQL qualification — because the marketing automation integration is not passing that data. And there are no SLA enforcement mechanisms to ensure leads are contacted within the defined window, so high-intent leads sit uncontacted for days after the qualification trigger.
TPG designs Salesforce lead routing architecture across four layers: assignment rules (the criteria-based logic that directs each qualified lead to the correct owner based on geography, territory, product interest, company size, or other defined routing criteria), context delivery (the integration configuration that passes the qualifying contact's campaign engagement history, content consumption, and lead scoring detail to the Salesforce lead record so the sales representative has context for their first outreach), SLA enforcement (time-based automation that creates escalation tasks, sends manager notifications, and reassigns stale leads when defined response time windows are exceeded), and conversion workflow (the process automation that creates the correct contact, account, and opportunity records when the lead is converted by a qualified sales representative, in the correct relationship structure that preserves lead attribution data on the resulting opportunity). All routing logic is documented with the sales operations team and reviewed quarterly against actual territory and team structure to prevent the routing drift that causes qualified leads to go to wrong owners as the organization evolves.
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Section 06
Salesforce Reporting and Revenue Attribution
How TPG builds the Salesforce reporting and attribution dashboards that connect the full revenue motion — from marketing investment through pipeline creation to closed revenue — in a format that CMO and CRO can use for business decisions.
Why most Salesforce reporting describes effort but not revenue contribution
Salesforce reporting in most enterprise organizations produces three categories of dashboards: sales activity dashboards (calls made, emails sent, meetings held), pipeline status dashboards (deals by stage, pipeline by rep, open opportunities by close date), and forecast dashboards (expected close amounts by quarter, pipeline coverage ratio, forecast vs. quota). These dashboards describe what the sales team is doing and what the current pipeline looks like. What they do not answer is: which marketing investments are generating the pipeline that is closing? What is the marketing-sourced pipeline as a percentage of total pipeline? Which campaigns produced the highest MQL-to-opportunity conversion rates? Which channels and programs are driving the highest-value deals? The answers to these questions require the marketing attribution architecture to be correctly configured — and in most Salesforce environments, it is not.
TPG builds Salesforce revenue attribution reporting in two complementary layers: the CRM attribution layer (Salesforce campaign influence reporting that connects campaign membership records to pipeline and closed revenue, configured to apply the appropriate attribution model to the organization's actual sales cycle) and the cross-platform attribution layer (a combined view of Salesforce pipeline data and marketing automation campaign performance data that produces the full funnel attribution picture from first marketing touch through closed revenue). The combined view is built as a Salesforce native report using the campaign influence data synced from the marketing automation platform — enabling the marketing leadership dashboard that shows campaign-sourced pipeline, campaign-influenced revenue, marketing ROI, and Revenue Loop stage progression rates, all from the same Salesforce data source that the CRO uses for pipeline reporting.
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Section 07
Salesforce Customization and Development
How TPG designs and builds Salesforce custom objects, flows, Apex triggers, Lightning components, and API integrations that extend Sales Cloud to support organization-specific revenue processes.
When Salesforce standard configuration is sufficient and when customization is required
Salesforce customization decisions follow the same logic as any platform customization: the question is whether the business requirement can be met by standard Salesforce configuration before any development resources are committed. Standard Salesforce configuration covers the majority of B2B sales process requirements: deal stage management, lead assignment, activity tracking, email integration, territory management, and standard object reporting. Custom development is appropriate when the business process genuinely cannot be expressed in standard configuration — when a required relationship between objects does not exist in the standard Salesforce data model, when a business rule is too complex for declarative automation to express reliably, when an external system integration requires a data transformation that cannot be achieved through a native connector, or when a user interface requirement cannot be met by standard Lightning record pages.
TPG evaluates every customization requirement against standard configuration options before committing to development, because custom code creates technical debt that accumulates with each Salesforce release and requires maintenance that standard configuration does not. When customization is required, TPG follows Salesforce development best practices: declarative-first (Flows before triggers, whenever the complexity is manageable), test coverage standards that exceed Salesforce's minimum requirements, naming conventions that make code identifiable and maintainable, and documentation that enables future developers to understand and extend the customization without requiring the original developer. For API integrations with systems that do not have native Salesforce connectors, TPG designs and builds the integration using Salesforce's REST and SOAP APIs with the data contract documentation, error handling, and monitoring that prevent the silent failure modes that affect most custom integrations.
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Section 08
Salesforce Data Quality and Governance
How TPG designs and implements the data quality, deduplication, and governance programs that keep the Salesforce CRM clean, accurate, and trustworthy as it grows.
Why Salesforce data quality problems are the most expensive long-term CRM cost
Salesforce data quality problems accumulate cost in three ways. Duplicate accounts and contacts inflate contact counts, produce confusing search results that slow sales representative productivity, and create inconsistent reporting when the same customer appears under multiple records with different revenue histories. Inconsistent field values — company names formatted differently across records, job titles entered freeform rather than selected from a standardized list, phone numbers in inconsistent formats — prevent the account-level aggregation, territory assignment, and marketing automation sync that require field consistency. And data decay — contacts whose job titles and email addresses are outdated, accounts whose firmographic data has not been updated since initial entry — degrades the accuracy of lead scoring, segmentation, and personalization that depend on current data being in the CRM. The cost of these problems is not the data quality score itself. It is the sales productivity loss, the attribution report inaccuracy, and the marketing campaign waste that bad data produces.
TPG builds Salesforce data governance programs with four operational components: deduplication (automated duplicate detection and merge rules for account and contact records, implemented as Salesforce Flow automations or third-party duplicate management tools, running on a rolling basis rather than in periodic cleanup sprints), data standardization (validation rules and formula fields that enforce consistent formatting for critical fields like company name, phone number, country, and job title at the point of entry), data enrichment integration (connecting Salesforce to enrichment platforms like ZoomInfo, Demandbase, or Clearbit to append missing firmographic and technographic data to account and contact records), and decay management (scheduled reports and automation that flag records not updated in defined periods and prompt ownership for review or update). All four components are documented in a Salesforce data governance guide that specifies which fields are governed, what the standards are, who is responsible for enforcement, and how compliance is monitored.
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Section 09
Salesforce Training and Adoption
How TPG designs and delivers role-specific Salesforce training that produces genuine platform adoption — not just login compliance — for sales, marketing, and operations teams.
Why Salesforce adoption fails after go-live and what effective training programs look like
Salesforce adoption failure after go-live has three consistent causes. First, training covers features rather than job functions: sales representatives learn how to create opportunities but not how to manage their specific pipeline in the specific stages the organization uses, with the specific required fields the organization's process demands. They know how Salesforce works generically but not how to do their specific job in Salesforce. Second, the training does not address the "why" that motivates adoption: when sales representatives understand that the pipeline stage data they enter is what management uses for forecast accuracy, they are more motivated to update stages correctly than when they experience CRM updates as administrative overhead for someone else's reporting. Third, no self-service resources exist for the questions that arise after go-live: when a representative encounters a scenario they have not been trained on, they ask a colleague, the Salesforce administrator, or give up — none of which produces correct adoption at scale.
TPG builds Salesforce training programs that are organized around job function workflows rather than feature categories, delivered in a Salesforce sandbox environment that mirrors the production instance configuration, and accompanied by role-specific quick reference guides and a Salesforce knowledge base documenting the procedures for every common operational scenario the organization's teams encounter. Sales representative training covers the specific pipeline management workflow, activity logging requirements, lead conversion process, and reporting views the organization's sales process demands. Sales operations and Salesforce administrator training covers the technical maintenance functions: user management, permission set assignment, automation monitoring, integration health checks, and the change management process for configuration updates. Marketing operations training covers the Salesforce-facing elements of campaign management, lead routing monitoring, and attribution report interpretation.
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Section 10
Salesforce Managed Services
How TPG provides ongoing Salesforce operational support, configuration maintenance, integration health monitoring, and continuous optimization for organizations that need expert Salesforce capacity beyond what internal teams can sustain.
What ongoing Salesforce management requires after implementation
Salesforce requires ongoing investment to maintain and improve at a rate that most internal teams underestimate at go-live. The platform releases three major updates per year (Spring, Summer, Winter) that introduce new features, change existing behaviors, and occasionally require configuration updates to maintain correct operation. Integration configurations with marketing automation platforms require regular health monitoring because both systems update independently, and field mapping changes or API version updates in either system can break the integration without a visible error message. Data quality erodes continuously as new records enter with inconsistencies that governance rules do not catch, existing records decay as contacts change jobs and company data becomes outdated, and duplicates accumulate from sources that bypass deduplication rules. And the business's evolving sales process, territory structure, and product portfolio produce continuous configuration change requests that require a managed implementation queue to handle safely without introducing automation conflicts.
TPG offers Salesforce managed services engagements that provide defined operational capacity on a retainer basis, scoped to the organization's instance complexity and internal team bandwidth. Managed services typically include: configuration and development support (implementing approved configuration changes, building new automation, and managing the Salesforce change queue), integration health monitoring (weekly integration sync checks with rapid response to failures before they affect data quality), data quality maintenance (monthly deduplication cycles, standardization automation updates, and data decay flagging), Salesforce release monitoring (reviewing Salesforce seasonal release notes and implementing required configuration updates), and operational support (responding to user questions, troubleshooting unexpected behavior, and managing permission and access requests). All managed services engagements include a named senior Salesforce consultant as the technical lead with direct access for both routine operations and urgent issue escalation.
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"I believe TPG knows more about marketing automation, content, marketing, demand generation, lead flow, sales follow-up, and Salesforce reporting than any single company I've worked with."Chief Marketing OfficerLola.com
Salesforce Sales Cloud: Frequently Asked Questions
Direct answers to the most common questions about Salesforce CRM consulting, implementation, integration with marketing automation, lead management, and revenue attribution.
What is Salesforce Sales Cloud and what does it do?
Salesforce Sales Cloud is the CRM and sales management component of the Salesforce platform, designed to manage the full B2B sales cycle from lead capture through opportunity close. It provides contact and account management, opportunity and pipeline tracking, lead routing and assignment rules, sales forecasting, activity tracking, and reporting and dashboard capabilities.
As the most widely deployed CRM in B2B enterprise sales, Salesforce Sales Cloud serves as the system of record for pipeline, revenue history, and customer relationship data, and as the integration hub that connects marketing automation platforms, customer success tools, financial systems, and other revenue technology. In revenue marketing, Salesforce is where marketing automation lead scoring results in pipeline creation, where campaign attribution connects marketing activity to closed revenue, and where sales and marketing leadership share a common view of the revenue motion.
What does a Salesforce consulting engagement with TPG include?
A Salesforce consulting engagement with TPG covers any combination of: assessment (evaluating the current instance against revenue marketing best practices), CRM implementation (deploying and configuring a new environment), data model and pipeline architecture design, marketing automation integration (Marketo, Eloqua, HubSpot, Marketing Cloud, Pardot), lead management and routing design, reporting and revenue attribution, customization and development, data quality and governance, training and adoption, and ongoing managed services.
TPG's Salesforce consulting is differentiated by revenue marketing integration: every configuration decision is made in the context of how Salesforce serves the full revenue motion — not just the sales team's CRM requirements in isolation.
How do you design Salesforce lead management and routing?
Salesforce lead management and routing design requires three inputs: the ICP and MQL definition from the marketing automation platform, the sales territory and team structure, and the SLA defining how quickly sales must act on a routed lead. With these defined, TPG configures assignment rules routing leads to the correct owner, context delivery passing the qualifying contact's engagement history to the Salesforce lead record, SLA enforcement automation escalating un-contacted leads, and conversion workflows creating the correct contact, account, and opportunity records in the right structure.
All routing logic is documented and reviewed quarterly against actual territory and team structure to prevent the routing drift that causes qualified leads to go to wrong owners as the organization evolves.
How do you configure Salesforce for marketing-to-sales pipeline attribution?
Salesforce marketing-to-sales pipeline attribution requires three components working together: campaign membership synchronization from the marketing automation platform to Salesforce campaign records (recording every marketing touchpoint at the contact level), Salesforce campaign influence settings configured to apply the chosen attribution model to opportunities (connecting revenue to the campaign memberships present on the associated contact before the opportunity was created), and attribution reporting dashboards presenting campaign-attributed pipeline and revenue in a format both marketing and sales leadership use.
TPG builds this attribution architecture as part of every Salesforce implementation and as a remediation engagement for organizations that have Salesforce but lack marketing-to-revenue attribution reporting.
What is the difference between Salesforce Sales Cloud and HubSpot CRM?
Salesforce Sales Cloud is a highly configurable enterprise CRM requiring dedicated administration resources, supporting very complex sales processes through extensive customization, and serving as the financial system of record for revenue in many large enterprises. HubSpot CRM is a unified platform where CRM, marketing automation, sales engagement, and customer service share a single native database — faster to implement, easier for non-technical teams, and more appropriate where complexity does not require Salesforce's customization depth.
Many B2B organizations run both: Salesforce as the system of record for opportunity management, financial reporting, and territory management, with HubSpot as the marketing and sales execution platform connected via integration. TPG configures and optimizes both platforms and the integrations between them.
How do you optimize a Salesforce instance with accumulated technical debt?
Optimizing a Salesforce instance with years of accumulated technical debt requires structured remediation across five dimensions: data quality (identifying and merging duplicates, standardizing inconsistent field values, implementing ongoing governance), pipeline architecture (realigning stages to reflect genuine conversion milestones with clear entry and exit criteria), automation debt (auditing all active workflows, process builders, and flows to identify conflicts, redundancies, and deprecated automation), reporting (rebuilding dashboards to produce conversion rate and attribution data rather than activity metrics), and integration health (reviewing all active integrations for sync errors, outdated field mappings, and missing data flow).
TPG conducts Salesforce assessments that diagnose technical debt across all five dimensions and produce a prioritized remediation roadmap sequenced by revenue impact per effort.
What makes TPG different as a Salesforce consulting partner?
TPG differentiates as a Salesforce consulting partner through revenue marketing integration and cross-platform expertise. TPG's Salesforce engagements are designed from the full revenue motion perspective: how Salesforce serves as the integration hub for marketing automation, how it supports lead management from marketing qualification through sales conversion, how it produces pipeline attribution connecting marketing investment to revenue. Salesforce consultants who focus on CRM optimization in isolation configure the platform correctly for sales without connecting it to the marketing systems that feed it.
TPG also holds deep expertise in Marketo, Eloqua, HubSpot, and Pardot — all of which integrate with Salesforce — enabling optimization of the full marketing-to-sales technology stack. As one CMO said: "I believe TPG knows more about marketing automation, content, marketing, demand generation, lead flow, sales follow-up, and Salesforce reporting than any single company I've worked with."
Turn Salesforce Into the Revenue Hub It Was Designed to Be
If your Salesforce instance produces pipeline reports but not revenue attribution, routes qualified leads to the wrong owners, or has accumulated years of data quality and automation debt — the problem is fixable. TPG has 19 years of Salesforce implementation, optimization, and management experience and deep expertise across every marketing automation platform that connects to it. Tell us where your Salesforce program is falling short and we'll show you exactly what needs to change.