Sales Engagement & Revenue Intelligence
Your reps are in the tool.
The pipeline data still lies.
We implement, rescue, and extend the major sales engagement and revenue intelligence platforms - Outreach, Salesloft, Apollo, Gong, Clay, and ZoomInfo - so mid-market revenue teams get accurate forecasts and repeatable outbound, not just another subscription.
Buying the platform was the easy part. Making it work is not.
Most mid-market firms arrive at sales engagement and revenue intelligence tools with the same problem: sequences run but reply rates are flat, call recordings pile up in Gong with no one acting on them, and the forecast rollup still does not match the CRM. The platforms are capable. The gap is in how they were configured, how they connect to the CRM, and whether the workflow matches how your team sells. A vendor-built Salesloft cadence is not a sales process. A Gong scorecard nobody reviews is not coaching.
Revenue intelligence tools surface signals - deal risk, engagement drop-off, talk-time ratios, forecast category movement - but only if the data is clean and the alerts route to someone with authority to act. When CRM contact data is stale, Salesforce opportunity stages do not map to real buyer behavior, and no one owns the hygiene, the AI layer produces noise. We fix the foundation first, then build the automation and reporting that makes the platform worth what you pay.
The Sales Engagement platforms we specialize in
Pick your platform. We'll make it deliver.
Apollo
We build the sequences, contact filters, intent signals, and CRM sync inside Apollo that turn a bloated database into a working outbound motion - so your next SDR hire isn't the fix. Your current reps stay; the system does the prospecting grunt work.
Explore ApolloClay
We design Clay tables, waterfall enrichment stacks, and AI column logic that feed your outbound motion with accurate data - so your sequences run on real signals, not stale lists.
Explore ClayGong
We build the scorecards, deal boards, and CRM integrations that turn Gong's conversation and activity data into decisions your managers and reps actually use every week.
Explore GongOutreach
We build the sequences, governance rules, and reporting layer that turn Outreach from a glorified email sender into a disciplined sales execution system your reps actually follow.
Explore OutreachSalesloft
We build the cadence architecture, conversation intelligence workflows, and deal inspection processes inside Salesloft that turn it from an email scheduler into a real revenue operating system.
Explore SalesloftZoomInfo
We build the workflows, CRM integrations, and intent-signal routing that turn your ZoomInfo subscription into a repeatable prospecting engine - instead of a tab your reps open once a week.
Explore ZoomInfoWhy mid-market revenue teams bring us in for sales engagement
Sequence strategy grounded in your actual sales motion
We do not clone a generic template. We map your buyer personas, deal cycle, and channel mix - email, phone, LinkedIn, direct mail - then build sequences in Outreach or Salesloft that reflect how your best reps actually move a deal forward.
CRM integration that does not break after go-live
The common failure is a sync that works at launch and degrades quietly - duplicate contacts, missed activity logging, opportunity stage mismatches. We architect the bidirectional sync between your engagement platform and CRM with field mapping, deduplication rules, and error alerting that holds past month one.
Gong and conversation intelligence that drives actual coaching
Gong is only useful if someone reviews calls and connects patterns to outcomes. We configure trackers, scorecards, and deal warnings tied to your sales methodology, then build the manager workflow so call review is a scheduled habit, not a fire drill.
Forecast models that reflect real pipeline behavior
Gong Forecast and similar tools ingest CRM activity and engagement signals to produce forecast categories and AI-driven commit predictions - but only with consistent opportunity stages, close date discipline, and activity capture. We audit and repair those upstream inputs so the forecast holds up in a board conversation.
AI agent and automation layers built on top of your stack
Beyond native features, we build custom AI agents that route inbound leads, summarize call transcripts into CRM fields, trigger re-engagement sequences on deal risk scores, and flag accounts gone quiet. These run on top of what you already own - no new platform required.
Ongoing optimization, not a one-time implementation
Sequence performance degrades. Buyer behavior shifts. New reps join and ignore the process. We offer retained optimization engagements - reviewing sequence analytics, updating messaging, auditing CRM data quality, and keeping the revenue intelligence configuration current as your business changes.
What sales engagement and revenue intelligence platforms actually do - and where they break down
Sales engagement platforms - Outreach, Salesloft, Apollo, and their peers - give revenue teams a structured, trackable way to run outbound and follow-up across email, phone, and social. The core mechanic is the sequence or cadence: a defined series of steps with timing, messaging templates, and rules for what happens when a prospect replies or goes silent. Most platforms now layer on analytics - reply rates by step, best send times, sequence performance by persona - to help teams iterate on what works.
Revenue intelligence platforms like Gong sit one layer up. They ingest call recordings, email activity, and CRM data to answer different questions: which deals are actually progressing, which reps are having the right conversations, and whether the forecast your VP of Sales gave the board has any basis in reality. Gong's conversation intelligence uses call transcripts to surface competitor mentions, unlogged next steps, and talk-time patterns that correlate with win rates. Gong Forecast uses historical close rates and current engagement signals to produce a forecast independent of what reps manually enter in Salesforce.
The operational problems that derail mid-market teams on these platforms
The failure modes are predictable. Sequences get built during vendor onboarding and never touched again, so reply rates decay and no one knows why because no one reviews the analytics. The Salesforce sync breaks quietly - activities log to the wrong object, contacts duplicate, opportunity stage data stops flowing - so the revenue intelligence layer predicts on incomplete inputs. Gong fills with recordings managers have no time to review. Gong Forecast shows a Commit category on deals with no buyer contact in three weeks because the engagement data is stale.
The fix is not a new tool. It is treating the configuration as a living system that needs ownership, not a one-time implementation project. Someone is accountable for sequence performance and updates messaging when reply rates drop. The CRM integration has monitoring and error handling, not just a connection on day one. Managers have a defined call review cadence and Gong scorecards tied to the behaviors that predict win rates for your specific product and market. Mid-market firms that get sustained value have built that operational discipline - or brought in a partner who helped them build it.
Sales Engagement questions, answered
Which sales engagement platform should we use - Outreach, Salesloft, or Apollo?
It depends on your team size, existing CRM, and whether outbound volume or deal management is the bigger priority. Outreach and Salesloft are both mature platforms with strong Salesforce integrations and are better suited to teams running high-volume, multi-step sequences with dedicated SDR functions. Apollo is a reasonable choice when you need prospecting data and sequencing in one tool and do not want to pay for a separate data provider. We will tell you which one fits your situation rather than pushing a preferred vendor.
We already have Gong. Why are we not getting value from it?
The most common reasons: trackers are not configured for your specific product and competitive landscape, managers have not been trained on the review workflow, deal warnings are firing but no one owns the follow-up action, and the Salesforce sync is logging activity inconsistently. Gong out of the box is a recording library. Gong configured well is a coaching and deal risk system. The gap between those two states is almost always a setup and adoption problem, not a product limitation.
How long does a sales engagement implementation typically take?
A focused implementation - CRM integration, sequence architecture, user provisioning, and manager training - typically runs four to eight weeks for a team under fifty reps. Revenue intelligence configuration on top of an existing engagement platform, such as tuning Gong scorecards or configuring Gong Forecast categories, is usually a shorter engagement. Scope depends heavily on the state of your CRM data and how many custom objects or integrations are involved.
Our reps are not following the sequences. Is that a training problem or a tool problem?
Usually both, and they compound each other. If sequences are built without rep input, are too long, or require manual steps that interrupt natural workflow, adoption suffers regardless of how much training you run. We audit sequence design first - step count, timing, personalization burden, and exit logic - before assuming the fix is more enablement. Often the sequences need to be rebuilt before adoption can improve.
Can you integrate our sales engagement platform with tools outside Salesforce - HubSpot, NetSuite, a custom CRM?
Yes. Outreach and Salesloft have native HubSpot connectors that work reasonably well for standard objects. Integrations with NetSuite or custom-built CRMs typically require middleware - we work with platforms like Workato or Tray.io, or direct API builds, depending on the complexity and data volume involved. We scope the integration based on which objects need to sync, how frequently, and what the error handling requirements are.
What does revenue intelligence actually mean in practice for a mid-market company?
At its core it means using engagement data - email opens, call activity, multi-threaded contact coverage, time since last meaningful interaction - to predict which deals will close and which are at risk, rather than relying on rep-reported pipeline. For a mid-market firm this usually means configuring Gong Forecast to give sales leadership a view of pipeline that does not depend entirely on what reps enter in the CRM. The value is earlier visibility into forecast risk, not just a prettier dashboard.
Do you replace our existing sales engagement vendor or work with what we have?
We are vendor-agnostic and default to working with what you already pay for. Switching platforms is expensive and disruptive, and in most cases the problem is configuration and process, not the tool itself. We will tell you honestly if a platform is genuinely the wrong fit for your team size or motion, but our starting position is always to fix what you have before recommending a replacement.
Not sure which Sales Engagement platform fits?
We're vendor-agnostic. Tell us your goals and we'll recommend the right stack - then build it.