Salesforce Sales Cloud runs the whole B2B cycle — lead capture, opportunity management, forecasting, quoting and close. Twopir Consulting implements it, configures it around how your team actually sells, and extends it with custom development when configuration runs out. Implementation, rescue and build-on, from one architecture team.
Trusted by 500+ organizations — SaaS, legal, healthcare, fintech and manufacturing revenue teams running their pipeline on Salesforce Sales Cloud with Twopir Consulting.
Built for Revenue Teams
These are the six patterns we find most often when a live Sales Cloud org is not producing reliable revenue data. Every one of them is a design decision, not a licence problem.
Reps move stages to keep managers quiet. Managers add a judgment layer to correct the data. Leadership discounts both. The number reaching the board has been adjusted three times — because Sales Cloud was never wired to the forecast methodology the team actually uses.
Opportunities sit in the same stage for a quarter. Deals that went cold months ago still count as active pipeline. Nobody cleans the org because nobody owns it — so every pipeline number carries an unknown margin of error.
Activity lives in email, notes live in a doc, deals are managed in a personal spreadsheet, and the CRM gets updated the hour before pipeline review. When the system does not match how deals move, adoption collapses and everything downstream inherits the gap.
Leads arrive from HubSpot, Marketo or web forms and land in Salesforce with no campaign context. The MQL-to-SQL handoff happens in Slack. Nobody can answer which campaigns produce deals that close, because the two halves of the funnel live in separate systems.
A partner configured the org, the project closed, the sales process changed, and nobody updated Salesforce. Eighteen months later there is a paid licence, a data model that no longer fits, and a team that has learned not to trust the system.
Einstein lead scoring is enabled with an untuned model. Opportunity insights surface what reps already know. Agentforce is not deployed at all. The features work — the data model underneath them was never designed to feed them.
Salesforce Sales Cloud is the CRM application that runs a B2B sales cycle end to end — capturing and routing leads, managing opportunities through defined stages, forecasting revenue, producing quotes, and closing deals against one shared set of records. Territory design, pipeline reporting, commissions and quote-to-cash all sit on that object model. Salesforce documents the product's capabilities on its own Sales Cloud product pages.
What Salesforce provides is the platform. Leads, opportunities, forecast categories, collaborative forecasts, activity capture and Einstein scoring are native Salesforce capabilities — we do not build them, and no consultancy does. What Twopir Consulting provides is the architecture around them: the data model, the stage definitions and exit criteria, the routing and validation logic, the integration boundaries, and the reporting layer — designed against your actual sales motion before anything is configured.
What the client gets is a system the revenue team believes. One pipeline number managers can defend, a forecast leadership can plan capacity against, and a CRM reps update because it is where the work happens — not because a report is due. That is the standard we hold an engagement to, not a successful go-live.
Typical engagements run 100–2,000 employees across the US, Canada, UK, UAE, Australia and New Zealand. Six profiles cover most of them.
Your sales team outgrew the system. Sales Cloud was configured for five reps and there are now thirty. Routing is manual, forecasting is a guess, and the stage model has not changed since launch. Salesforce for SaaS →
Firms running structured business development pipelines with compliance requirements, sensitive client data, and a sales process that does not look like a SaaS funnel. Salesforce for law firms →
Long, multi-stakeholder cycles with regulatory constraints, where a 30-day close assumption breaks the stage model and the forecast with it. Salesforce for healthcare →
Compliance-aware architecture where audit trails, approval workflows and field-level data governance are requirements, not preferences. Salesforce for fintech →
RevOps leaders picking up someone else’s Salesforce. A previous admin or a failed implementation left poor data quality, inconsistent rep behaviour and reports leadership does not use. Rescue is a defined engagement, not a rebuild. See a Sales Cloud rebuild →
Moving off HubSpot CRM, Pipedrive, Zoho or spreadsheets, and needing history, relationships and deal context to survive the move — not just records. HubSpot services →
Twopir Consulting offers all three, and most engagements are two of them. The distinction matters because it decides scope, timeline and who on your side has to be in the room — and all three sit inside our wider Salesforce and revenue operations services.
| Service | What it means | When you need it | Where the boundary sits |
|---|---|---|---|
| Implement | Stand up Sales Cloud from a new org or a new licence: data model, users and profiles, lead and opportunity objects, stage model, core automation, migration from your current CRM, and go-live. | You are new to Salesforce, or moving off HubSpot CRM, Pipedrive, Zoho or a spreadsheet environment. | Ends when the objects, standard automation and migrated data are live and the team is trained on them. |
| Configure | Tailor a live org to your sales motion: stage definitions and exit criteria, validation rules, assignment and routing, forecast categories and rollups, dashboards, Einstein scoring models, activity capture. | You own Sales Cloud, but it reflects an org chart rather than a sales motion — or a previous implementation never landed with reps. | Everything reachable with declarative tools: Flow, validation rules, page layouts, reports, permission sets. No code. |
| Build on | Custom development that extends Sales Cloud past what configuration reaches: Apex, Lightning Web Components, Platform Events, and API integrations to systems with no packaged connector. | Pricing, commission, compliance or partner-portal logic that no combination of standard features expresses. | Starts where declarative tools stop — when a rule needs a transaction, a callout, or a UI Salesforce does not ship. |
The practical line: if Flow and validation rules can express it, it is configuration; if it needs Apex, an external callout or a custom component, it is development. We tell you which side a requirement falls on during scoping — not after the estimate.
Each one is designed around your sales motion rather than Salesforce defaults — because a default stage model is the fastest route back to a pipeline nobody trusts.
Capture, routing, scoring and conversion logic designed around how your MQLs actually become SQLs — with an enforceable handoff instead of an informal one.
Stages built to reflect how deals actually progress, with the validation and exit criteria that make a pipeline number defensible in a board meeting.
A collaborative forecast that gives managers a real commit number and leadership a view they can plan capacity against — with no override spreadsheet running in parallel.
Rep activity recorded because the system captures it, not because a rep remembered to log it. Whichever outbound tool your team lives in, it syncs without adding admin.
For teams with product bundles, discount tiers or approval chains: quotes that generate accurately and clear approval without a five-day round trip per deal.
Already live but not working? We audit the environment — data model, automation logic, adoption patterns, integration health — and deliver written findings in five business days.
Sales Cloud is one layer of a revenue system. These are the connections we build most often, and what each one actually carries.
Closes the attribution gap: marketing reports on pipeline created rather than forms filled, and reps see the campaign history behind a lead before the first call. HubSpot services →
HubSpot → Sales Cloud: MQLs, campaign membership, email engagement · Sales Cloud → HubSpot: stage changes, closed-won
Outbound sequencing runs in the tool reps live in, while the opportunity record stays the system of truth for what was said and when.
Sales Cloud → tool: contacts, opportunity context · tool → Sales Cloud: calls, emails, sequence state
A native Salesforce capability, not something we build: it syncs a Microsoft or Google account and relates email and calendar activity to the matching records. We configure it and design the reporting on top.
Email & calendar → Salesforce: activity timeline against leads, contacts and opportunities
Quoting sits on the opportunity rather than beside it, so pricing, discount approval and the signed document all reference the same deal record.
Opportunity → quote: products, pricing, approvals · quote → opportunity: amount, close, contract
Sales, finance and CS work from consistent billing data — a rep sees a failed payment before the renewal call rather than after the churn.
Sales Cloud → finance: closed-won orders · finance → Sales Cloud: invoices, payment status, subscription state
Support history becomes a renewal signal: account teams see open tickets and escalation history in Sales Cloud before an expansion conversation.
Support → Sales Cloud: tickets, severity, satisfaction · Sales Cloud → support: account tier, owner
Deal alerts, approval requests and stage-change notifications reach people where they already work, without anyone opening a report to find them.
Sales Cloud → channel: deal alerts, approvals · channel → Sales Cloud: approval responses
Where reporting has to blend CRM with product, billing or finance data, the BI layer reads from Sales Cloud instead of a monthly export.
Sales Cloud → BI: pipeline, forecast, activity · BI → leadership: blended revenue reporting
Connection method depends on volume and complexity, not preference: native connectors where they hold, MuleSoft, Workato or Celigo where they do not, and custom API work when the system has no packaged option. See the Salesforce CPQ and multi-tool integration story for how that decision plays out on a real build.
A focused Sales Cloud implementation — lead management, opportunity stages, forecasting and core reporting — typically runs 8 to 12 weeks. A full revenue operations build with territory management, CPQ, multi-system integration and AI-assisted workflows typically runs 16 to 24 weeks. Scope, timeline and milestones are agreed before any build begins.
Before a sandbox is opened we map the real sales motion with reps, managers and RevOps — lead sources, qualification, stages, handoffs, forecast method — and produce the architecture blueprint.
Lead management, account and contact hierarchies, opportunity stages, validation and automation, built against the blueprint — with migration designed so history and relationships survive, not just records.
Collaborative forecasts with your rollup logic, pipeline velocity dashboards, and role-appropriate reporting. Einstein and Agentforce are activated on a data model designed to feed them.
Marketing automation, sales engagement, support, finance and BI connected with the direction of every flow defined — so the revenue team stops moving data between systems by hand.
Training built around each role's actual workflow, manager coaching on the new pipeline review, and a 30-day optimization cycle to close gaps before they harden into habits.
Two engagements where the work was structural: commission and contract logic built onto the opportunity in one, activity visibility and live team reporting rebuilt in the other.
We'd worked with two US-based Salesforce partners before Twopir. Neither designed the system around how our sales team actually works. Twopir did that in week one.
Commission, contracts and compliance built onto Salesforce Opportunities.
The time zone overlap was never an issue. The bigger difference was that they understood Salesforce deeply enough to push back when our instincts were wrong — and they were usually right.
Sales Cloud rebuilt around activity visibility and live team reporting.
Most Salesforce partners optimise for delivering the platform on time. We optimise for whether the platform improves revenue outcomes after go-live.
Engagements begin with process design — how leads enter, how deals progress, how the forecast is called — and the Salesforce build follows it. A stage model copied from a template is the fastest way back to a pipeline nobody trusts.
SaaS teams with trial-led conversion, legal tech with nine-month enterprise cycles, healthcare with multi-stakeholder procurement, fintech with compliance-driven approvals. That range is why the architecture decisions hold under real pressure.
Twopir Consulting is a Salesforce Gold Partner and a HubSpot Gold Partner, and has built bi-directional integrations between the two many times over. If your stack spans both, one team owns the whole handoff instead of two blaming each other for it.
Einstein scoring, opportunity insights and Agentforce are only as good as the records feeding them. We design the data model and automation to support activation from day one, because AI on a broken data model produces noise.
Dedicated US EST, UK GMT and AEST overlap hours, a named engagement lead on every project, weekly delivery checkpoints with written summaries, and an escalation path that is a person rather than a ticket queue.
Salesforce Sales Cloud is the CRM application that manages a B2B sales cycle from lead capture and qualification through opportunity management, forecasting, quoting and close. Implemented well, it gives a revenue team one shared view of pipeline health, rep activity, deal velocity and the forecast. Implemented poorly, it becomes a contact database nobody trusts and reps route around.
A focused implementation covering lead management, opportunity stages, forecasting and core reporting typically runs 8 to 12 weeks. A full revenue operations build including territory management, CPQ, multi-system integrations and AI-assisted workflows typically runs 16 to 24 weeks. Large data migrations and complex enterprise environments extend further. Scope, timeline and delivery milestones are defined before any build begins.
If a requirement can be expressed with declarative tools — Flow, validation rules, page layouts, assignment rules, reports and permission sets — it is configuration. If it needs Apex, an external callout, a Lightning Web Component or a Platform Event, it is custom development. Twopir Consulting delivers both, and states which side a requirement falls on during scoping rather than after the estimate, because the answer changes cost, timeline and long-term maintenance.
Yes — this is one of our most common engagement types. We audit the architecture, data model, automation logic, adoption gaps and integration health, then deliver written findings in five business days. From there we redesign the parts holding the team back, usually without starting from a blank org: rescue work tends to move faster than a new build because the data already exists and only needs the right structure around it.
Through native connectors where they hold, middleware such as MuleSoft, Workato or Celigo where volume and transformation demand it, and custom API development where a system has no packaged option. The design question is always the same: what moves, in which direction, and which team consumes it. Marketing engagement and MQLs flow in from HubSpot or Marketo, support history flows in from Zendesk, billing state flows in from NetSuite or Stripe, and stage and closed-won data flow back out.
Yes. We implement Einstein lead and opportunity scoring, opportunity insights and Einstein Activity Capture so reps and managers get signals in context, and we design Agentforce workflows for deal summaries, follow-up sequencing and pipeline hygiene. These are Salesforce capabilities, not Twopir products — what we contribute is the data model and automation design that makes them produce signal instead of noise.
Not automatically. Teams whose complexity sits in marketing and whose sales process is straightforward are often better served by staying on HubSpot end to end. Sales Cloud earns its place when the sales side carries the complexity — territory and quota structures, opportunity splits, product bundles and approval chains, or custom logic that has to run inside the CRM. Many of our clients run both: HubSpot for marketing, Sales Cloud for the pipeline, integrated so attribution survives the handoff. We will tell you which of the three shapes fits before proposing a migration.
Twopir Consulting audits your existing org — data model, automations, adoption gaps and pipeline accuracy — and delivers written findings in five business days. No pitch deck, no obligation: a clear picture of what is working and what needs to change. Sales Cloud is one layer of the revenue system, so we will also say where Service Cloud, Hubspot Sales Hub Implementation or Salesforce AI Agents belongs instead.
US EST · UK GMT · AEST overlap hours — response within 24 hours
