How to Effectively Track the ROI of Influencer Marketing Campaigns for Your Beef Jerky Brand Using In-App Analytics

Influencer marketing is a powerful tool for beef jerky brands aiming to boost engagement, brand awareness, and sales. But the key challenge remains: how to accurately track the ROI of influencer campaigns using in-app analytics? This guide provides actionable strategies to leverage in-app analytics and advanced tracking methods tailored specifically for beef jerky brands.

1. Defining ROI for Influencer Marketing in Your Beef Jerky Brand

ROI in influencer marketing extends beyond immediate sales. For beef jerky brands, it includes:

• Sales directly from influencer-driven traffic
• Incremental units sold or subscription sign-ups via influencer links
• Brand awareness growth and audience engagement (likes, shares, comments)
• Customer acquisition and long-term retention
• Brand sentiment and user-generated content resulting from influencer exposure

Use this foundational formula for ROI measurement:
ROI (%) = (Revenue from influencer campaign - Campaign cost) / Campaign cost × 100

Quantifying incremental revenue from influencer activity enables precise ROI analysis and campaign adjustments.

2. Key KPIs to Track the ROI of Influencer Marketing Campaigns

To measure ROI effectively, focus on these KPIs critical for beef jerky influencer campaigns:

• Click-Through Rate (CTR): Tracks clicks on influencer-shared links leading to app installs or product pages.
• Conversion Rate: Percentage of users completing purchases after clicking influencer links.
• Engagement Rate: Interaction rates (likes, comments, saves) on influencer content reflecting audience interest.
• Customer Acquisition Cost (CAC): Cost to acquire a new customer via influencer efforts.
• Average Order Value (AOV): Spending per customer influenced by campaigns.
• Retention Rate & Repeat Purchase: Measures loyalty and subscription renewals of influencer-sourced customers.
• Reach & Impressions: Total audience exposed to influencer content, helping quantify brand visibility.

3. Leveraging In-App Analytics to Attribute Influencer Campaign Success

What Are In-App Analytics?

In-app analytics record user behavior within your mobile app—vital for tracking the customer journey from influencer content to purchase.

Benefits for Beef Jerky Influencer Campaign Tracking:

• Tracks user acquisition sources and behavior paths inside the app
• Measures influencer-specific user engagement beyond link clicks
• Provides detailed purchase data, including order value and frequency
• Enables cohort analysis to compare influencer-driven user lifetime value (LTV)

Essential In-App Metrics for Influencer ROI

• Acquisition source attribution (which influencer/link drove installs or sessions)
• Session length and navigation flow to identify content engagement
• Cart additions and completed checkouts linked to influencer campaigns
• Retention trends among influencer-referred users

Recommended In-App Analytics Tools

• Firebase Analytics: Offers event tracking and campaign attribution.
• Adjust / AppsFlyer: Mobile attribution platforms linking installs and purchases to influencer campaigns.
• Branch / Bitly: Deep linking and URL shortening for accurate source tracking.
• Zigpoll: Innovative polling solution embedded in-app to collect customer feedback related to influencer campaigns.

4. Using UTM Parameters and Deep Links for Precise Influencer Attribution

What Are UTM Parameters?

UTM tags appended to URLs track traffic origins by passing campaign details to analytics tools:

https://yourbeefjerkybrand.com?utm_source=instagram&utm_medium=influencer&utm_campaign=jerkytaste2024&utm_content=influencername

• utm_source identifies the platform (e.g., Instagram)
• utm_medium identifies the channel (influencer marketing)
• utm_campaign tracks the campaign name
• utm_content distinguishes specific influencers

Setting Up UTM Links

• Create unique UTM-tagged URLs per influencer and platform via Google’s Campaign URL Builder.
• Use URL shorteners like Bitly or Branch for user-friendly clickable links.

What Are Deep Links?

Deep links direct users from an influencer's post straight to specific app pages (e.g., product or checkout), improving tracking accuracy.

Why UTM & Deep Links Matter

Combining UTMs with deep links lets in-app analytics attribute installs, sessions, and purchases specifically to each influencer, enabling exact ROI calculations.

5. Integrate CRM with In-App Analytics for Comprehensive ROI Insights

Why Integration is Crucial

• Tracks full customer lifecycle—from influencer click to repeat purchases
• Measures lifetime value (LTV) of influencer-acquired customers
• Identifies behavioral trends enabling personalized marketing and upsells
• Allows campaign segmentation and performance optimization

How to Integrate

• Use APIs or pre-built integrations between CRM platforms like HubSpot, Salesforce, and in-app tools such as Firebase or Adjust.
• Sync user data in real time for richer attribution models and cohort analyses.

6. Utilize Zigpoll for Qualitative Feedback to Complement ROI Metrics

Quantitative data isn't enough; qualitative insights help refine influencer strategy:

• Embedded in-app polls can ask:
  • “Which influencer introduced you to our beef jerky?”
  • “What influenced your purchase decision?”
• Understand customer preferences and improve influencer selection and messaging.
• Measure shifts in brand sentiment post-campaign.
• Explore Zigpoll’s platform to gather real-time user feedback seamlessly across mobile and web.

7. Conduct A/B Testing Using In-App Analytics to Maximize Campaign ROI

• Test different promo codes, influencer creatives, or landing pages.
• Compare conversion rates, average order values, and retention across influencer segments.
• Use data-driven insights to identify top-performing influencers and optimize your marketing spend.

8. Step-by-Step ROI Calculation Using In-App Analytics Data

Example:

• Influencer campaign drives 10,000 tracked clicks
• 1,000 app installs from these clicks
• 200 purchases at $25 each = $5,000 revenue
• Campaign cost = $15,000

ROI = ($5,000 - $15,000) / $15,000 × 100 = -66.7%

This indicates the need to optimize influencer selection, creative assets, or conversion funnels.

9. Overcoming Common Influencer Tracking Challenges

• Offline or third-party sales: Offer exclusive in-app promo codes or discounts to incentivize tracked purchases.
• Untrackable influencer links (e.g., Instagram Stories): Use bio links, QR codes, or swipe-up deep links.
• Multiple attribution touchpoints: Implement multi-touch attribution models through platforms like AppsFlyer.
• Data privacy compliance: Adhere to GDPR and CCPA by anonymizing data and focusing on aggregated metrics.

10. Pro Tips to Boost Influencer Marketing ROI for Your Beef Jerky Brand

• Partner with influencers whose followers match your target demographic: outdoor enthusiasts, keto dieters, or snack lovers.
• Create exclusive offers and trackable promo codes unique to each influencer.
• Supply influencers with compelling creative assets and content guidelines.
• Amplify influencer reach with user-generated content (UGC).
• Analyze in-app data regularly to optimize campaigns in real time.
• Use Zigpoll surveys to capture direct audience feedback, improving targeting and messaging.

Summary: Unlocking Beef Jerky Influencer Marketing Success with In-App Analytics

Accurate ROI tracking of influencer campaigns requires integrating in-app analytics, precise link tagging with UTMs and deep links, and CRM data for a full customer view. Supplement these with qualitative insights via tools like Zigpoll to understand how influencer marketing truly impacts your beef jerky brand.

This comprehensive, data-driven approach empowers you to optimize influencer partnerships, maximize conversions, and grow your brand’s loyal customer base.

Ready to track your beef jerky influencer marketing ROI effectively? Discover how Zigpoll and leading in-app analytics solutions can transform your campaigns into measurable growth engines today!