Sales and Marketing
Analytics Consulting
Services
Key Challenges in Sales and Marketing Analytics
53% of surveyed organizations attribute poor sales
data quality to
inaccurate and incomplete data.
Companies that are using data-driven sales and marketing growth engines report
increasing
their ROI in the range of 15 to 25%.
Source – Gartner
Transform Your Sales and Marketing with
Dataplatr’s Analytics Expertise
Lead Management Analytics
- Segment leads into categories based on intent, demographics and interaction data.
- Examine lead behavior for different audience segments.
- Get centralized dashboards to track lead sources, engagement and pipeline movement.
- Provide insights such as optimal lead engagement times, most effective content types, etc.
Higher lead-to-sale ratio | Reduced customer acquisition cost
Sales Pipeline Analysis
- Perform bottleneck analysis to figure out and resolve delays in deal progression.
- Implement data-driven lead scoring models to rank prospects by likelihood of conversion.
- Utilize advanced in-built/custom analytical dashboards to manage daily sales activities.
- Enable sales teams to prioritize high-value opportunities through scoring and ranking.
Accelerated deal closures | Better pipeline efficiency
360° View of Customers
- Combine organic, paid ads, social media, and sales data for a unified profile.
- Detect visitor’s flow and purchase triggers for targeted outreach.
- Activate personalized pitches with deep customer insights.
- Monitor churn indicators to retain high-value clients.
Holistic understanding of visitor’s needs | Increased customer lifetime value
Channel Marketing Analytics
- Measure ROI across multiple sources like email, account based marketing, etc.
- Utilize granular insights to optimize campaigns under each channel.
- Develop ML models based on multi-touch attribution to improve marketing effectiveness across different brands.
- Examine customer touchpoints to refine marketing and sales funnels.
Maximized marketing ROI | Improved omnichannel experiences
With Dataplatr’s marketing analytics consulting services, align
marketing strategies with your business goals.
How We Deliver Sales and Marketing Analytics
Services
- Set clear sales and marketing KPIs.
- Make sure both teams are focused on the same business objectives.
- Collect data from all relevant sources like your CRM, organic campaigns, social media, etc.
- Combine both online and offline data for a full picture.
- Clean the data to remove duplicates and errors.
- Look for patterns in customer behavior and sales trends.
- Find areas where you can improve lead conversion and customer loyalty.
- Create easy-to-understand charts and graphs.
- Focus on important metrics like ROI, sales growth and customer engagement.
- Summarize the data in simple reports for easy decision-making.
Who Needs Sales and Marketing
Analytics?
Chief Marketing Officer (CMO)
Pull data to optimize marketing campaigns and measure ROI.
Sales Manager
Uses analytics to track sales performance and increase the number of closures.
Chief Sales Officer (CSO)
Relies on data to calculate sales budget and refine sales strategies.
Marketing Head
Analyzes campaign/channels results to optimize targeting and engagement.
Customer Relationship Manager (CRM)
Uses data to personalize customer interactions and enhance satisfaction with data analytics for sales and marketing.
KPIs We Track with Our Reports
Monthly Sales
Growth
- Measure month-over-month revenue increase.
- SIdentify trends to improve sales
performance.
Average Profit
Margin
- Analyze profit earned on each sale.
- Highlight areas to lower down acquisition
costs and boost margins.
Monthly Sales
Bookings
- Track the total value of closed deals
month/quarterly/yearly.
- Monitor performance against sales targets.
Customer Acquisition Cost
(CAC)
- Calculate the cost of acquiring a new
customer.
- Optimize spending across sales and marketing
channels.
Customer Lifetime Value
(CLV)
- Predict total revenue from each customer.
- Identify high-value customers to prioritize
retention.
Sales Cycle Length
- Track how long it takes to close a deal.
- Pinpoint bottlenecks and shorten the sales cycle.
Our Clients
The launch of CX Voice AI is a milestone in our broader effort to harness AI and BI for deeper business insights. This is more than just a tool, it’s a major step toward making analytics a core strength at PosiGen. A huge thank you to the IT, CX, and Dataplatr teams for their hard work.
Mark Sefer
VP of IT & PMO, PosiGen Solar
50%
Reduction in
Manual Call Reviews
40%
Faster Customer
Issue Resolution
100%
Visibility into Call
Center Performance
TTEC’s reporting struggled due to fragmented data in Oracle EBS and Hyperion, manual processes, and slow, error-prone cycles. Dataplatr merged both systems into an integrated financial model with GL, sub ledger, AR Aging, and Hyperion hierarchy. This enabled near-real-time insights and eliminated the need to access multiple systems. With 30-minute data refreshes, reporting is faster, more accurate, and teams now use self-service analytics in a scalable setup.
Omair Ishaq
GVP, TTEC
100%
More Timely
Data Access
90%
90% Reduction
In Book Closure Time
10+
Hours Saved
per TDS Report