Skip to main content
All CollectionsAudience InsightsJourney
Actionable Strategies Using Customer Journey Data
Actionable Strategies Using Customer Journey Data
Updated over 2 weeks ago

1. Reducing Drop-Off Rates

If the Customer Flow shows high drop-offs in key stages, consider these strategies:

In the Browsing Stage:

  • Add clear product categories and improve search functionality.

  • Use personalized product recommendations based on browsing behavior.

  • Implement exit-intent popups with discounts or incentives.

In the Add-to-Cart Stage:

  • Simplify the checkout process to reduce friction.

  • Offer guest checkout options to speed up the purchase flow.

  • Add trust signals (e.g., secure checkout badges, free return policies).

In the Checkout Stage:

  • Provide multiple payment options.

  • Use urgency tactics like low-stock notifications or limited-time discounts.

  • Implement abandoned cart recovery emails with personalized offers.

2. Increasing Conversion Rates in High-Intent Paths

Identify high-traffic paths that show strong intent but low conversion rates. Key strategies include:

Improving Landing Pages:

  • Ensure messaging aligns with ad content.

  • Add persuasive elements like customer reviews, testimonials, and video demos.

Strengthening Remarketing Campaigns:

  • For users who visited your product pages but didn’t convert, run retargeting ads featuring discounts or bundle offers.

  • For high-intent segments (e.g., cart abandoners), use automated email flows to re-engage.

3. Identifying High-Value Customer Journeys

For paths with the highest Average Order Value (AOV) or Lifetime Value (LTV):

Increase Retention Efforts:

  • Introduce post-purchase follow-ups with loyalty rewards or referral programs.

  • Offer exclusive discounts for repeat buyers on these paths.

Expand Winning Journeys:

  • Identify common touchpoints in winning customer paths (e.g., Meta Ads + Email Retargeting) and invest more heavily in those channels.

  • Replicate successful journey patterns by tailoring campaigns to similar audience segments.

4. Optimizing Ad Campaigns Based on Journey Data

  • Identify top entry points that consistently lead to conversions (e.g., Google Ads or Facebook Ads) and scale those campaigns.

  • For channels that drive traffic but fail to convert, test different ad creatives, targeting criteria, or landing page strategies.

  • Use multi-touchpoint marketing strategies to engage customers across channels.

5. Improving Time-to-Purchase

If Time in Stage data reveals delays in customer movement:

✅ Use retargeting ads featuring urgency (e.g., “24-hour sale!”).

✅ Send reminder emails for abandoned carts with time-limited offers.

✅ Offer fast checkout options like Shop Pay, Apple Pay, or Google Pay.


Example Scenario

Business Context: A fashion eCommerce brand notices that their Meta Ads → Add to Cart → Drop-off path has a high abandonment rate, while Google Ads → Purchase achieves a high conversion rate and sales.

Action Plan:

  • Optimize the Meta Ads checkout experience by reducing the steps in the purchase process.

  • Introduce retargeting ads with limited-time discounts to re-engage abandoned cart users.

  • Allocate more budget to Google Ads to expand high-converting campaigns.

Did this answer your question?