Salesforce Marketing Cloud · Implementation & Consulting

Marketing Is Generating Leads.
Sales Doesn't Know Where They Came From.

When your marketing stack isn't connected to Sales Cloud, attribution breaks, budget gets wasted on campaigns that don't close, and the marketing-to-sales handoff happens over Slack. TwoPir has implemented Salesforce Marketing Cloud for 200+ companies — SaaS, healthcare, fintech, and professional services — across the US, UK, Australia, and UAE. We architect the system that connects a campaign click to a closed deal.

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12+
Years of Salesforce Marketing Cloud implementations
200+
Client deployments across US, UK, AU & UAE
98%
Client satisfaction score on Upwork — Top Rated Plus
3×
Average improvement in MQL-to-SQL conversion rate post-implementation
Certified & Partnered
Salesforce Gold Partner HubSpot Gold Partner
Where Marketing Cloud Breaks Down

The Marketing Revenue Gaps We Find in Almost Every Org We Audit

The platform isn't the problem. The disconnection between marketing, Sales Cloud, and the data model underneath it is. Here's what we see across 200+ marketing org audits in the US, UK, Australia, and UAE.

📊

Marketing Attribution Is Completely Opaque

You know how many leads came in this quarter. You don't know which campaigns generated deals that actually closed. Marketing and sales operate on different data sets, and the CMO can't answer the CFO's question: "Which programs should we double down on?" Because closed-won data never made it back to Marketing Cloud.

🔀

The MQL-to-SQL Handoff Happens Over Slack

A lead fills out a form in HubSpot or Marketing Cloud. Someone on the marketing team notices, sends a Slack message to a rep, and manually updates a spreadsheet. By the time a rep reaches out, it's been 36 hours. By then, the prospect has already spoken to two competitors. The handoff is broken because the systems aren't connected — not because the team isn't trying.

🎯

Campaigns Send to Everyone, Convert Nobody

Email campaigns go out to your entire database because segmentation is too painful to maintain. Leads at different stages, industries, and deal sizes all get the same nurture sequence. Open rates look fine. Pipeline sourced from email does not. Personalization at scale requires a data model that most Marketing Cloud implementations never get built.

🧱

Marketing Cloud and Sales Cloud Are Two Separate Worlds

Marketing Cloud Engagement is live. Sales Cloud is live. They were connected at some point, but the sync is incomplete, the field mappings are wrong, and engagement data from email never shows up in rep activity timelines. Marketing can't see what sales is telling prospects. Sales can't see what marketing already sent them.

🤖

Einstein AI Is Enabled But Producing Noise

Einstein Send Time Optimization is running. Einstein Engagement Scoring is configured. Neither is making a measurable difference. That's almost always a data problem — the models are training on incomplete, unsegmented data, and the outputs reflect that. AI on top of a broken data model doesn't improve marketing performance. It just makes bad decisions faster.

📦

A Previous Implementation That Got Abandoned

A partner set up Marketing Cloud Engagement two years ago. Journeys were built, templates were created, and then the project ended. Half the journeys are still running with outdated content. Lead scoring hasn't been updated in 18 months. The team uses maybe 20% of what was built. This is the most common scenario we're brought in to fix.

The TwoPir Approach

Salesforce Marketing Cloud Built to Feed a Sales Pipeline, Not Just Fill an Inbox

Marketing Cloud is not an email tool. When it's properly architected, it's a revenue infrastructure layer — one that identifies who's ready to buy, delivers the right message at the right moment, hands qualified signals to sales with full context, and closes the attribution loop from first touch to closed deal.

We approach every Marketing Cloud engagement the same way we approach Sales Cloud: by starting with the revenue motion, not the platform. That means we design the data model first, connect to Sales Cloud before sending a single email, build segmentation logic that reflects how your buyers actually behave, and architect the Einstein AI layer on a foundation it can actually learn from.

After 12+ years building marketing and sales systems for SaaS companies, healthcare providers, law firms, fintechs, and real estate groups in the US, UK, Australia, and UAE — we know exactly where Marketing Cloud implementations fail. And we build to avoid every one of those failure points from day one.

What Good Looks Like

Salesforce Marketing Cloud Implementation Outcomes

3×

MQL-to-SQL Conversion

Properly connected Marketing Cloud and Sales Cloud with lead scoring drives 3× higher MQL-to-SQL conversion within two quarters of go-live.

55%

Reduction in Manual Handoff Work

Automated lead routing and CRM sync eliminates the manual process of moving leads from marketing to sales — freeing SDR time for actual selling.

40%

Improvement in Campaign-to-Revenue Attribution

Closed-loop attribution from first touch to closed-won means marketing finally has the data to prove — and improve — its contribution to revenue.

25%

Lift in Email Engagement Rate

Behavior-triggered journeys and Einstein-powered segmentation consistently outperform batch-and-blast campaigns by 25% or more in engagement.

What We Implement

Salesforce Marketing Cloud Capabilities We Architect for Revenue Teams

Every capability is designed around your actual go-to-market motion — not Marketing Cloud defaults. We build systems that marketers can operate, sales teams trust, and leadership uses to make budget decisions.

📧

Marketing Cloud Engagement — Email Studio & Journey Builder

We configure the core Marketing Cloud Engagement environment: contact data model, email templates, dynamic content blocks, and the Journey Builder logic that moves prospects through the funnel based on real behavioral signals — not time-based drip sequences.

  • Data extension design and contact model architecture
  • Email Studio and Content Builder template setup
  • Journey Builder — onboarding, nurture, re-engagement, lifecycle
  • Dynamic content personalization by segment and behavior
  • Transactional messaging and triggered send configuration
👥

Account Engagement (Pardot) — B2B Lead Nurturing & Scoring

For B2B teams where pipeline starts with a MQL, Account Engagement is the engine that separates a prospect who is researching from one who is ready to talk to sales. We configure scoring models that reflect actual buying signals — not just email opens.

  • Lead scoring and grading model design and configuration
  • Engagement Studio nurture program architecture
  • Sales Cloud alignment and lead assignment automation
  • Form and landing page build with progressive profiling
  • ROI reporting and campaign influence dashboards
🔗

Marketing Cloud Connect — Sales Cloud Integration

The connection between Marketing Cloud and Sales Cloud is where most implementations fail quietly. We design and configure the integration so marketing engagement data flows into Sales Cloud activity timelines, lead scores influence routing rules, and campaign responses become rep-visible signals — not invisible data points that live only in Marketing Cloud reports.

  • Marketing Cloud Connect setup and configuration
  • Synchronized contact and lead data model design
  • Campaign influence and multi-touch attribution setup
  • Engagement activity sync to Sales Cloud rep timelines
  • Lead scoring integration with Sales Cloud routing rules
⚡

Einstein AI for Marketing — Scoring, Segmentation & Send Optimization

Einstein Marketing Cloud features deliver measurable lift when the data model is designed to support them. We implement Einstein Send Time Optimization, Engagement Scoring, Content Selection, and Predictive Audiences on a foundation that produces signal instead of noise — and configure the feedback loops that make the models improve over time.

  • Einstein Send Time Optimization setup and monitoring
  • Einstein Engagement Scoring and inactive subscriber segmentation
  • Einstein Content Selection and dynamic creative testing
  • Predictive Audiences for advertising integration
  • AI model performance tracking and tuning
📈

Marketing Cloud Intelligence (Datorama) — Attribution & BI

Marketing Cloud Intelligence connects every marketing data source — email, paid social, SEM, events, webinars — into a single reporting layer that answers the question every CMO needs answered: which programs generate revenue? We build the dashboards that replace 12 disconnected spreadsheets with one source of truth.

  • Datorama data stream setup and source connection
  • Cross-channel attribution model design and configuration
  • Marketing contribution to pipeline and revenue dashboards
  • Campaign performance and spend efficiency reporting
  • Executive-level marketing ROI dashboard build
🔄

Marketing Cloud Rescue & Optimization

Already have Marketing Cloud but it isn't producing pipeline? We audit the existing environment — data model, journey logic, integration health, lead scoring accuracy, and deliverability — and deliver written findings in 5 business days. Most rescue engagements uncover the same structural problems. We've seen them enough times to know exactly what to look for and how to fix them.

  • Full org audit: data model, journeys, integration, deliverability
  • Lead scoring model assessment and reconfiguration
  • Journey audit and stale automation cleanup
  • Deliverability review and sender reputation recovery
  • Sales Cloud integration health check and repair
How We Work

How We Build Salesforce Marketing Cloud Systems That Drive Pipeline

Four phases. No shortcuts. Every decision is grounded in your go-to-market motion — not Marketing Cloud feature defaults or implementation templates.

01

Marketing Motion Discovery & Architecture Design

Before we open a Marketing Cloud org, we map your go-to-market motion. That means working directly with marketing, demand gen, sales ops, and revenue leadership to understand how leads enter, how they're qualified, what triggers a handoff to sales, and what the actual buyer journey looks like at each stage. We audit your existing data model, integration health, and segmentation logic.

The output is an architecture blueprint: data extensions, contact model, lead scoring logic, journey maps, Sales Cloud integration design, and Einstein AI activation requirements. Every build decision traces back to a specific pipeline outcome — not a Marketing Cloud feature checklist.

02

Core Marketing Cloud Build & Sales Cloud Integration

We configure the Marketing Cloud environment against the architecture we designed — data extensions and contact model, Email Studio and Content Builder setup, Journey Builder logic and trigger configuration, Account Engagement lead scoring and grading, and the Marketing Cloud Connect integration to Sales Cloud. The integration isn't an afterthought. It's the first thing we get right.

When Sales Cloud and Marketing Cloud share a unified contact model, engagement data flows into rep activity timelines, lead scores influence Sales Cloud routing rules, and campaign responses become Sales Cloud tasks. That's the closed-loop architecture most organizations think they have — but rarely do.

03

Journey Architecture, Segmentation & Einstein AI Activation

We build the customer journey logic that makes Marketing Cloud earn its license cost: onboarding sequences, nurture tracks by persona and buying stage, re-engagement campaigns triggered by behavioral signals, and post-sale lifecycle journeys that support retention and expansion. Each journey is designed around how your buyers actually move — not a generic nurture template.

Where Einstein AI delivers real lift — Send Time Optimization, Engagement Scoring, Content Selection, and Predictive Audiences — we activate it on a data model designed to support it. We've seen Einstein perform remarkably when the foundation is right, and fail entirely when it isn't. The difference is always the data model underneath.

04

Attribution, Reporting & Adoption Sprint

We build the closed-loop attribution layer that most Marketing Cloud implementations never finish: campaign influence models that connect marketing activity to Sales Cloud opportunities, Marketing Cloud Intelligence (Datorama) dashboards for cross-channel performance, and executive-level reporting that answers "which programs generated revenue?" — not just "which programs generated clicks?"

Post go-live, we run an adoption sprint: marketing team training on journeys and segmentation, sales team orientation on new lead signals in Sales Cloud, and a 30-day optimization cycle to close gaps before they become embedded habits. Attribution data is only valuable if the team knows how to use it to make better budget decisions.

Common Hesitation

Already mid-way through a Marketing Cloud implementation that isn't working?

This is one of the most common situations we're brought into. A partner built the initial environment, the project ended, and the team is now maintaining something they don't fully understand — with journeys running on stale data and a Sales Cloud integration that's half-configured. We run a structured audit first: data model, journey logic, integration health, and lead scoring accuracy. Written findings in 5 business days, with a clear picture of what to fix and in what order.

We don't require a rip-and-replace. Most rescue engagements preserve what's working and rebuild only what's broken — which is almost always faster and less disruptive than starting over. Our clients at Platform9, Hotspex, and Magnus Health all came to us after prior implementations that stalled. The systems they use today are built on what we fixed.

Talk to Our Team First →
What Our Clients Say

"We had Marketing Cloud for 18 months and were using about 15% of it. TwoPir rebuilt the journey architecture, connected it to Sales Cloud properly, and within 60 days our SDRs were seeing email engagement signals directly in Salesforce. That's the integration we were promised two years ago."

— VP of Demand Generation, US-based SaaS company (Series B, 240 employees)

"The time zone overlap was never an issue. What mattered was that TwoPir understood the entire revenue stack — they spoke the same language as our sales ops team, not just our marketing team. That's rare in a Salesforce partner."

— Head of Marketing Operations, UK professional services firm (London, 280 staff)
Client Outcomes

What Salesforce Marketing Cloud Looks Like When It's Properly Architected

MO
★★★★★

Before TwoPir, we had no idea which campaigns were generating revenue. We had great open rates and poor pipeline. They rebuilt the attribution model, connected Marketing Cloud to Sales Cloud, and for the first time we could see exactly which programs were driving closed-won deals. Budget allocation became a data decision instead of a gut-feel one.

Director of Marketing Operations Hotspex — US-based SaaS Research Platform SAAS · ATTRIBUTION
Case Study
Hotspex — US SaaS
Marketing Cloud + Sales Cloud Closed-Loop Attribution
3× MQL-to-SQL conversion improvement
40% Marketing budget reallocation based on attribution data
60d Time to full attribution reporting go-live
Read Full Case Study →
VP
★★★★★

Healthcare marketing has compliance considerations that most Salesforce partners don't understand. TwoPir built our Marketing Cloud environment with the right data handling architecture, connected it to our Health Cloud instance, and delivered a patient communication journey that our compliance team actually signed off on. That's not something a generic Salesforce partner could have delivered.

VP of Marketing US Healthcare Technology Platform HEALTHCARE · HEALTH CLOUD
Case Study
US Healthcare Tech Platform
Marketing Cloud + Health Cloud Integration & Patient Journey
85% Patient communication open rate (vs. 24% industry avg)
100% Compliance requirements met
12wk End-to-end implementation timeline
Read Full Case Study →
Free Marketing Cloud Audit

Not Sure What's Actually Wrong With Your Marketing Cloud?

We audit your existing Marketing Cloud environment — data model, journey logic, Sales Cloud integration, lead scoring accuracy, and attribution gaps — and deliver written findings in 5 business days. No pitch. No obligation. Just an honest assessment of what's working and what's costing you pipeline.

Book a 30-Min Discovery Call →
Marketing Cloud vs. Account Engagement

Which Salesforce Marketing Product Is Right for You?

Salesforce has two distinct marketing platforms — and most clients use one when they need the other. Here's how we help you choose, or combine both.

CriteriaMarketing Cloud EngagementAccount Engagement (Pardot)
Primary use caseHigh-volume multichannel campaigns — email, SMS, push, advertising, lifecycleB2B pipeline marketing — lead nurturing, scoring, and Sales Cloud alignment
Best forB2C or high-volume B2B with large contact databases and complex journey logicB2B companies with 1,000–100,000 contacts and a defined MQL-to-SQL process
Sales Cloud connectionVia Marketing Cloud Connect — more flexible, requires careful setupNative integration — leads and contacts sync automatically
Einstein AI featuresFull Einstein suite: Send Time, Engagement Scoring, Content Selection, Predictive AudiencesEinstein Behaviour Scoring and basic engagement signals
B2B attributionPossible via Intelligence (Datorama) and custom configurationNative campaign influence and ROI reporting built in
TwoPir recommendationSaaS with product-led motion, consumer-facing businesses, high-volume email programsB2B companies where qualified pipeline is the primary marketing KPI

Many clients use both. We architect the connection between them. Talk to us about your setup →

Integration Stack

Tools We Connect to Salesforce Marketing Cloud

Marketing Cloud doesn't exist in isolation. We connect it to your entire revenue stack — so engagement data flows to sales, attribution closes the loop, and every marketing action has a traceable pipeline impact.

Salesforce Sales Cloud
Salesforce Health Cloud
HubSpot Marketing Hub
MuleSoft
Workato & Celigo
Looker Studio & Tableau
Google Ads & Meta Ads
ZoomInfo & Clearbit
Demandbase & 6sense
Webinar & Event Platforms
Slack & Microsoft Teams
Salesforce Data Cloud
Who This Is For

Built for Marketing and Revenue Leaders Who Need Marketing Cloud to Generate Pipeline

🚀

SaaS Companies Scaling Past $10M ARR

Your marketing team has outgrown HubSpot sequences and needs a platform that can handle complex journey logic, behavioral segmentation, and closed-loop attribution. You want to know which campaigns generate deals that close — not just opens and clicks. Whether you're in San Francisco, New York, London, or Sydney, we've built this for teams at your stage.

🏥

Healthcare & Health Tech Organizations

Healthcare marketing has compliance considerations that generic Marketing Cloud partners routinely miss. We've implemented Marketing Cloud for Magnus Health, CellTrak, eLuma, and Adheroum — and we design every engagement with the right data handling architecture, patient communication constraints, and Health Cloud integration that compliance teams can sign off on.

💼

Professional Services & Consulting Firms

B2B professional services firms don't need mass email. They need Account Engagement nurture sequences that move prospects through a 6-to-12-month relationship before a proposal lands. We build the lead scoring and nurture architecture that reflects how professional services relationships actually develop — whether you're based in London, New York, or Dubai.

💰

Fintech & Financial Services

Compliance-aware marketing automation for fintech companies where data governance and communication approval workflows aren't optional. We've deployed Marketing Cloud for Fortis Payments and Altsxl Wealth Solutions — and we understand how regulated marketing environments are different from standard SaaS setups.

📣

Marketing Operations Leaders Fixing Broken Orgs

You have Marketing Cloud. It isn't generating pipeline. Journeys are running but nobody's converting. Lead scoring hasn't been updated. The Sales Cloud integration is half-working. You need a structured rescue from a team that's fixed this exact situation dozens of times — across the US, UK, Australia, and UAE — and can deliver written findings in 5 business days.

🌐

Mid-Market Companies Migrating to Marketing Cloud

Moving from HubSpot, Marketo, ActiveCampaign, or Mailchimp to Salesforce Marketing Cloud or Account Engagement. You need the migration done right — contact data preserved, journeys rebuilt to reflect your actual buyer journey, scoring logic transferred, and the integration to Sales Cloud configured before your first send. 100–2,000 employees, $10M–$500M ARR, anywhere from New York to London to Dubai.

Why TwoPir

Why Revenue Teams Choose TwoPir Over a Local Salesforce Marketing Cloud Partner

1

We Build Marketing Systems That Feed Sales, Not Just Marketing Reports

Most Marketing Cloud partners measure success by email deliverability and open rates. We measure success by MQL-to-SQL conversion and marketing-sourced pipeline. The architecture we build is designed to produce qualified leads that sales wants to call — not engagement metrics that look good in marketing dashboards.

2

12 Years of Sales + Marketing System Depth Across Industries

We've implemented Marketing Cloud alongside Sales Cloud for SaaS companies with product-led motions, healthcare providers with patient communication constraints, legal tech firms with complex buying cycles, and fintech companies with compliance-driven approval processes. That breadth is why our architecture decisions hold under real business conditions.

3

Salesforce + HubSpot Certified — We Build the Bridge Between Both

Most Marketing Cloud partners can't configure HubSpot, and HubSpot partners don't understand Salesforce Marketing Cloud architecture. We hold Gold Partner status in both and have built the integrations between them dozens of times. If your stack spans both platforms, you need one team that understands all of it.

4

Einstein AI and Data Cloud Activation — Not Just Feature Enablement

We design the data model to support AI from day one. Einstein Send Time Optimization, Engagement Scoring, and Predictive Audiences perform remarkably when the data foundation is right — and fail entirely when it isn't. We've seen both outcomes. We build for the first one.

"Marketing Cloud is one of the most underutilized Salesforce products we see. Teams spend budget on licenses, configure some email templates, and wonder why it isn't generating pipeline. The reason is almost always the same: the platform was built for sends, not for revenue. We architect it for revenue — from the data model up."

— Gopal, CEO & Salesforce Architect, TwoPir Consulting
Net-new Marketing Cloud Engagement implementation
Account Engagement (Pardot) setup and optimization
Marketing Cloud rescue and adoption recovery
Migration from HubSpot, Marketo, or Mailchimp
Einstein AI and Data Cloud marketing activation
Marketing Cloud Intelligence (Datorama) reporting
Frequently Asked Questions

Salesforce Marketing Cloud — Common Questions

What is Salesforce Marketing Cloud and what does it actually do?+
Salesforce Marketing Cloud is a suite of marketing automation tools covering email, SMS, push notifications, social advertising, and customer journey orchestration. It includes Marketing Cloud Engagement (formerly ExactTarget) for campaign execution, Account Engagement (formerly Pardot) for B2B lead nurturing, Data Cloud for unified customer data, and Marketing Cloud Intelligence for cross-channel analytics. When architected correctly, it gives marketing teams the ability to run personalized, triggered campaigns that generate qualified pipeline — not just engagement metrics that look good in marketing dashboards but don't translate to closed revenue.
What is the difference between Marketing Cloud Engagement and Account Engagement (Pardot)?+
Marketing Cloud Engagement is built for high-volume, multichannel campaigns — email, SMS, push notifications, advertising, and complex journey orchestration across large contact databases. Account Engagement (formerly Pardot) is purpose-built for B2B pipeline marketing — lead nurturing programs, behavior-based lead scoring, native Sales Cloud alignment, and closed-loop attribution from campaign to closed-won. Many of our clients use both: Account Engagement to generate and qualify pipeline, and Marketing Cloud Engagement for product lifecycle and retention campaigns. We architect both platforms and design the integration between them.
How long does a Salesforce Marketing Cloud implementation take?+
A focused Marketing Cloud Engagement implementation covering email journeys, segmentation, and Sales Cloud integration typically runs 8 to 14 weeks. A full build including Data Cloud unification, cross-channel orchestration, Einstein AI activation, and Intelligence reporting typically runs 16 to 24 weeks. Account Engagement implementations run 6 to 10 weeks for standard B2B setups. Rescue and optimization engagements vary based on what's already in place. We define scope, timeline, and delivery milestones before any build begins — so you have a clear picture of what you're getting and when.
How does Salesforce Marketing Cloud integrate with Sales Cloud?+
The Marketing Cloud Connect integration synchronizes contacts, leads, campaign data, and engagement signals between Marketing Cloud Engagement and Sales Cloud. When designed correctly, email engagement data — opens, link clicks, form fills — flows into Sales Cloud as activity history and influences lead scoring. Closed-won deals trigger lifecycle journeys in Marketing Cloud. Campaign attribution from first touch to closed revenue becomes measurable. We've configured this integration across dozens of client environments and know every point where it typically fails — which is why our implementations don't have those problems.
Can TwoPir migrate us from HubSpot or Marketo to Salesforce Marketing Cloud?+
Yes. We manage full migrations from HubSpot Marketing Hub, Marketo, Pardot (standalone), Mailchimp, and ActiveCampaign to Salesforce Marketing Cloud or Account Engagement. The migration includes contact and list transfer, workflow and journey recreation, email template rebuilding, suppression list migration, and historical engagement data preservation where possible. We also help clients who want to keep HubSpot and connect it to Salesforce Marketing Cloud — we've built that architecture for multiple clients and know exactly where the data seams are and how to manage them cleanly.
Do you work with companies outside India?+
Yes — the majority of our clients are based in the United States, United Kingdom, Australia, New Zealand, UAE, and Canada. All delivery is managed from our 40-person India-based team with dedicated overlap hours for US EST, UK GMT, and AEST time zones. We guarantee response within 24 hours, and every engagement includes a named delivery lead and weekly written status summaries. Time zone has never been the limiting factor in our client relationships — delivery quality and marketing system depth have been the differentiators.
What makes TwoPir different from other Salesforce Marketing Cloud implementation partners?+
Most Marketing Cloud partners optimize for campaign delivery — open rates, deliverability, journey completion rates. We optimize for pipeline outcomes — MQL-to-SQL conversion, campaign-sourced revenue, and marketing's measurable contribution to closed deals. That means every engagement starts with your sales motion, not the Marketing Cloud feature list. We hold Salesforce Gold Partner status and HubSpot Gold Partner certifications, and we've built the integrations between both platforms dozens of times. After 12+ years and 200+ implementations across SaaS, healthcare, fintech, legal tech, and professional services, we've developed marketing architecture frameworks that most partners won't encounter until their thirtieth engagement.
Next Step

If Marketing Is Generating Leads But Sales Can't Trace Them Back to Revenue, This Is the Right Conversation

TwoPir delivers a free Salesforce Marketing Cloud audit — data model review, journey health assessment, Sales Cloud integration check, lead scoring accuracy evaluation, and written findings — in 5 business days. No pitch deck. No obligation. Just a clear picture of why your marketing isn't generating the pipeline your sales team needs.

Book a Free Marketing Cloud Audit Explore Sales Cloud
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