Predictive customer insights platform seamlessly combines qualitative and quantitative data, offering Qual+Quant analysis, Zero Party Data insights, and code-free simplicity. Discover a smarter way to understand customer behavior. Pre-built connectors and open to 100+ integrations. Try ConvertML today.
2. SWIPE
Utilize predictive analytics to analyze
customer behavior, encompassing
internal data (website activity, purchase
history, demographics) and external data
(social media, weather).
Create predictive models to identify
future customer actions, enabling
targeted strategies based on behavioral
segmentation.
Behavioral
Segmentation
3. SWIPE
Targeted Marketing
Campaigns
Merge quant and qual data sources for
insights through predictive modeling.
Example: Launch a targeted email
campaign offering discounts on specific
tent types based on individual
preferences, based on insights!
4. SWIPE
Personalized
Messaging
Predict demand through buyer
personas and dynamic creative
optimization.
Example: A healthcare startup tailors
content for different user personas like
"working parents" or "first-time parents."
Craft personalized messages reflecting
brand values and resonating with each
segment in the buyer's journey.
5. SWIPE
Customer
Acquisition
Leverage predictive analytics to
identify valuable prospects and
assess potential customer value.
Analyze behavior, past purchases,
and order value to identify trends,
patterns, and potential attrition.
Optimize customer segmentation and
campaign performance based on
predictive insights.
6. SWIPE
Customer Support
Optimization
Analyze various data sources (surveys,
forums, CRM) to identify potential issues in
customer support.
Identify at-risk customers by analyzing
purchase history, support tickets, and
survey feedback.
Route customers to appropriate support
channels and provide personalized
solutions based on predictive analytics.
7. SWIPE
Content Distribution
Strategy
Utilize predictive analytics for
personalized content creation and
distribution.
Predict engagement likelihood with
specific content and optimize distribution
channels.
Example: A film production company
schedules horror film trailers after
midnight for better engagement with late-
night viewers.
