We build dashboards that surface which accounts are showing buying signals right now: repeated content engagement, pricing page visits, tech-stack changes, and leadership hires. Your sales team stops working a list and starts working a signal.
We instrument your pipeline with stage velocity, conversion rates by segment, and deal health scores. You see where deals stall, which reps close fastest, and what separates won deals from lost ones.
We unify data from your CRM, marketing automation, and product analytics into a single RevOps view. Forecasting, attribution, and funnel analysis that your entire revenue team can trust.
In 2026, B2B deals involve multiple stakeholders. We build multi-contact engagement tracking so you can see which roles are active in an account, what they are reading, and how close the account is to a decision.
We connect campaign spend to pipeline and closed revenue. You see which channels, content types, and campaigns are generating real pipeline, not just leads. Budget decisions become data-driven.
Intent data and AI-driven scoring only work if your CRM data is clean, complete, and consistently structured. We assess and fix the underlying data before you build any scoring or automation on top of it.
Marketing reports leads. Sales reports pipeline. Neither number agrees with what finance sees.
Your AI-powered CRM features (Einstein, Copilot, HubSpot AI) are not producing reliable scores
It is the work of building the data infrastructure, dashboards, and reporting that revenue teams need to see which accounts are in-market, how deals are moving, and where pipeline is being created or lost. We work with your CRM, marketing automation, intent data, and product analytics to build a unified view your entire revenue team can trust.
No. We can work with whatever signals you currently have: CRM activity, website analytics, email engagement, and product usage data. If you are evaluating intent data platforms, we can help you assess which signals are worth paying for and build the infrastructure to act on them.
Yes. We work across Salesforce, HubSpot, Marketo, Pardot, and most major CRM and marketing automation platforms. We also connect these to Tableau, Power BI, Snowflake, and other analytics layers your team may already have.
A RevOps analyst works inside your existing tools and processes. We bring a cross-industry view of how revenue analytics breaks at the data layer, which is usually the root cause of unreliable forecasts and conflicting reports. We also build the infrastructure that a RevOps analyst can then maintain and extend.
Most pipeline and revenue analytics engagements run 6 to 12 weeks depending on the complexity of your data environment and the number of systems involved. We start with a discovery and data assessment, then build in phases so you see working dashboards before the engagement ends.
Thinklytics offers pipeline analytics, account scoring, and RevOps reporting for B2B SaaS and enterprise sales teams with data governance consulting.
Pipeline analytics, account scoring, and RevOps reporting for B2B sales teams.
Trustworthy revenue reporting starts with clean CRM data. These are the factors that move the effort.
Salesforce or HubSpot data condition sets how much cleanup comes before reporting.
The pipeline stages, definitions, and revenue metrics in scope set the build.
Pulling marketing, sales, and finance sources together adds integration.
Predictive pipeline and forecasting models are more than stage reporting.
Pipeline and forecast numbers disagree across sales, marketing, and finance.
You want trustworthy revenue and pipeline reporting leadership acts on.
You want to automate CRM hygiene and follow-ups: see AI Sales & CRM Automation.
The numbers disagree by definition: see Semantic Layer Engineering.
Assess whether your data layer can support AI-driven scoring and automation.
Fix the data quality issues that are making your CRM data unreliable.
Unify your CRM, marketing, and product data in a single warehouse.
Pipeline and Revenue Analytics We dive into your sales pipeline and revenue to spot what’s really moving the needle. Think of us as your data detectives, breaking down where deals get stuck, which reps are crushing it, and where revenue might be leaking out. We use real numbers, real insights, and zero guesswork to help you make smarter moves.
In 2026, B2B buyer intent data has become the organizing layer for how revenue teams prioritize accounts, time outreach, and allocate budget. The firms winning deals are not working harder. They are working accounts that are already showing buying signals.
Thinklytics builds the pipeline analytics, account scoring, and RevOps reporting infrastructure that makes this possible. We connect your CRM, marketing automation, intent data, and product analytics into a single view your entire revenue team can act on.
Pipeline and revenue analytics turns buyer-intent and CRM data into an organizing layer that tells revenue teams which accounts to prioritize and when to reach out. Thinklytics builds the intent-scoring and pipeline reporting so your team works accounts already showing buying signals, instead of calling every name on the list and hoping.
If your revenue team is flying blind, it usually starts here.
Let us build the analytics infrastructure that surfaces them.