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How To Measure Mobile Leads Using Cross-Device Attribution and Determine ROI
 

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Smx West 2014 Session #Smx #24C - Measuring The Mobile Leadpresentation How To Measure Mobile Leads Using Cross-Device Attribution And Determine Roi By David Perez @Convertro Of Convertro

Smx West 2014 Session #Smx #24C - Measuring The Mobile Leadpresentation How To Measure Mobile Leads Using Cross-Device Attribution And Determine Roi By David Perez @Convertro Of Convertro

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    How To Measure Mobile Leads Using Cross-Device Attribution and Determine ROI How To Measure Mobile Leads Using Cross-Device Attribution and Determine ROI Presentation Transcript

    • David Perez CMO "Measuring the Mobile Lead" Cross-Device Attribution and Determining ROI #SMX @Convertro
    • 97% 95% 85% 78% 71% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Jan-10 Jan-11 Jan-12 Jan-13 Jan-14 Mobile Tablet Desktop Source: Same set of 50 Convertro ecommerce clients over 5 year period eCommerce % Visits By Device #SMX @Convertro
    • eCommerce % Revenue by Device 71% 15% 14% Desktop Mobile/Tablet Web In-App Source: Convertro eCommerce clients with & without iOS/Android Apps - using algorithmic attribution – Jan 2014 80% 20% Revenue by Device – No Apps Revenue by Device – w/ Apps #SMX @Convertro
    • Mobile, Tablet and Cross-Device Interactions 5.7 internet connected devices per U.S. HH according to NPD (March 2013) Convertro See 1.4 Devices Per Conversion (Jan 2014) #SMX @Convertro
    • Case Study: Cross-device tracking, Indochino Problem: Unsure if mobile campaigns were producing results Result: Quantified how mobile campaigns were driving desktop sales 1. Discovered that of multi-device users were switching from mobile to desktop before converting 2. Optimized mobile based on overall results #SMX @Convertro
    • #SMX @Convertro
    • Tracking Cross Device Email Address = The New Cookie… User ID = The New Cookie #SMX @Convertro
    • Cross Device Tracking: 1st Party Data 1. Transaction – Get User ID 2. Login – Get User ID 3. ESP – Transactional Email – Get User ID #SMX @Convertro
    • Cross Device Tracking: 2nd Party Data Convertro  2nd party client device mappings DoubleClick  Android + Gmail Atlas  Facebook #SMX @Convertro
    • Cross Device Tracking: 3rd Party Data Cookie sync with 3rd party data providers that track cross-device • LiveRamp • TapAd #SMX @Convertro
    • Holistic Attribution • Need to track all channels, offline to online, for a holistic picture of your marketing spend and conversion events • Need transparency, verification and accuracy in order to take control of your advertising performance • Ability of tracking across devices is crucial for correct data TV Radio Direct Mail Call Centers In-store Purchases Phone Web/App Tablet Web/App SocialEmailWebsite #SMX @Convertro
    • Convertro Algorithm 1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Exposure to Marketing ProbabilityofConversion Logistic Function Events #SMX @Convertro
    • In Matrix Format (Example: Four Unique Paths) Convs Total 10 1000 5 100 10 100 30 1000 Prob Conv 1% 5% 10% 3% Org. PPC TV Emai l Disp. 1 0 1 1 0 0 1 1 0 0 1 0 0 0 1 0 1 1 1 0 Y Conversion & Frequency Counts of Paths X =1 .10 .20 .30 .10 .30Resulting Weights i Convertro Algorithm #SMX @Convertro
    • Advanced Modeling: Base / Lift Measures true incremental lift of paid marketing on sales: 1. Define a “base” probability of conversion (probability that a customer who was not exposed to marketing converts) 2. Measure the revenue contribution of other marketing sources relative to the base probability as “lifts” or “increments” above that base #SMX @Convertro
    • Advanced Modeling: Event Chaining • Addresses repeat purchases and multiple steps in conversion funnel • Attribute preceding events • First conversion gets credit for the next conversion #SMX @Convertro
    • Advanced Modeling: Source Decay • Estimate period over which source exposure effect decays over time • Plot for views shows that < 25% of conversions occurred by end of 1 day #SMX @Convertro
    • Model Validation • Randomly splitting user click trails into training and test sets (80/20 split) • Train a set of models on the training set • Then Run a prediction on the previously-unseen test sets (with the actual conversion events removed from the clicktrail). #SMX @Convertro
    • Model validation and testing TRUSTED BY: #SMX @Convertro
    • Apply Cost Data "A lot of that is around being able to allocate our spend where it's most effective.” Attribution + Cost = ROI, CPA #SMX @Convertro
    • Optimizing - Cross-Channel Allocations • Optimal spend against each marketing channel to maximize goal (e.g. ROI) #SMX @Convertro
    • Optimizing - Sub-Channel Allocations #SMX @Convertro
    • Optimizing - Tactical Allocations KEYWORDS HIDDEN #SMX @Convertro
    • Summary • Mobile/Tablet Traffic & Conversions Growing • 1.4 Devices Per Conversion • Mobile is Top of Funnel – Not Last Click or Last Device 85% of time • Use 1st party, 2nd party and 3rd party data to sync cross-device • Use Algorithm to allocate credit based upon influence on conversion • Determine optimal spend allocations #SMX @Convertro