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Optimizely

Marketing OGZ
April 03, 2023
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 Optimizely

Marketing OGZ

April 03, 2023
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  1. 3 ways to maximize your ROI on your ecommerce investments

    Mårten Bokedal, Director Product Strategy
  2. _ 2 1500+ employees 2021 a fresh start 9000+ customers

    Key Product To serve the next generation of digital leaders​ 2
  3. • Specific needs • Attention to details vs. spontaneous •

    Motivation • Ability to buy • Brands he loves
  4. Language City Land Purchase Log-in Keyword Persona Campaign Landing page

    Visits Operative system IP-adress Time Unit Digital meeting and body language
  5. Consumers (N=5014) U.S. (N=1,000): 19,9% U.K. (N=1,002): 20% Germany (N=1,003):

    20% Australia (N=1,002): 20% Sweden (N=1,007): 20,1%
  6. Optimizely Survey Topline Agree 58% Disagree 43% Statement: My expectations

    for experiences with brands are higher than they used to be
  7. Optimizely Survey Topline Agree 51% Disagree 49% Statement: Overall, my

    expectations with regard to brand experiences are not being met
  8. _14 Customers demand and expects more Each time a customer

    is exposed to an improved experience, their expectations are reset to a new higher level. – Brendan Witcher, Forrester
  9. There is a need of serving more customers in more

    channels in a more personalized way. _15
  10. Januar Mars Mai Juli September November *Konverteringsrate med trendlinje for

    begge kjeder 2022 Coop hire their new CRO Manager! January May September November Growth hacking: Let´s hire a CRO specialist and increase the conversion rate! July
  11. Classpass win back experiment example – V1: Control Marginal CAC

    CAC to acquire the “next 15 members” Average CAC Retained after free trial Cost of Goods (COGS) Reactivated free trial Value 100 $15,000 (avg $150 per customer) 80 $187,50 --- – V2: Extended offer Value 125 $24,375 (avg $195 per customer) 95 $256,58 ($24,375 - $15,000) / 15= $625 Lift +25% +30% Increase in class redemtions +19% +37% relative --- Marginal CAC = $625 > ⅓ Lifetime Value (LTV)
  12. Whoever can capture and understand the new consumer behavior AND

    launch redesigned or new digital services tailored to those needs will be the winner of tomorrow. John Ekman Conversion Rate Expert and founder of Conversionista
  13. Data quality Customer and business value Data quality and decision

    making Hig risk for bad decisions Data-driven decisions
  14. Data quality and decision making Data quality Customer & Business

    value Opinion / Preference ”I like it when” internal single point of view
  15. Data quality and decision making Data quality Customer & Business

    value Industry best practices Opinion / Preference ”What experts say works” general industry advice ”I like it when” internal single point of view
  16. Does a countdown timer work for others outside of Amazon?

    Winner Inconclusive Loser 100% more copies sold Vote
  17. Does a countdown timer work for others outside of Amazon?

    Winner Inconclusive Loser 100% more copies sold Vote
  18. Instagram is a world leading platform So we must be

    able to copy elements and make it work, right? Vote
  19. Instagram is a world leading platform So we must be

    able to copy elements and make it work, right? Vote
  20. 25% of tests are winners and the other 75% are

    wrong. This is just another way of saying that 75% of your assumptions are wrong. Bart Schutz Expert in online psychology, Online Dialogue
  21. Data quality and decision making Data quality Customer & Business

    value Industry best practices Opinion / Preference Customer feedback ”What experts say works” general industry advice ”I like it when” internal single point of view ”What our customers say” voice of the customer
  22. 1: Inspiration 3: Social belonging 2: Sustainability 1: Price 2:

    Fast delivery 3: Smooth payment What in fact is important according to research What customers are claiming is important Why not always listen to customers?
  23. Data quality and decision making Data quality Customer & Business

    value Analytics Industry best practices Opinion / Preference Customer feedback ”What has worked for us” your own recent data ”What experts say works” general industry advice ”I like it when” internal single point of view ”What our customers say” voice of the customer
  24. Data quality and decision making Data quality Customer & Business

    value Experimentation Analytics Industry best practices Opinion / Preference Customer feedback ”Which works better” Based on recent data ”What has worked for us” your own recent data ”What experts say works” general industry advice ”I like it when” internal single point of view ”What our customers say” voice of the customer
  25. Value added through A/B-testing Gains added through A/B-testing Loss avoided

    through A/B-testing +x% -x% The only tests that deliver zero value are the experiments you do not learn from
  26. Data quality – embracing experimentation Data quality Customer & Business

    value Experimentation Analytics Industry best practices Opinion / Preference Customer feedback ”Which works better” Based on recent data ”What has worked for us” your own recent data ”What experts say works” general industry advice ”I like it when” internal single point of view ”What our customers say” voice of the customer Predictive Experimentation ”What will work better” Based on segmented, real-time predictive analytics
  27. The problem for marketers is that they lack the necessary

    data to personalize customer experiences cdp.com 2022
  28. 3 (super) basic steps to maximize ROI Make them come

    back (retention) Make them pay (convert) Make them stay
  29. Increase motivation (CRO) • Early in the funnel (see, think)

    • When the product/service is new • When intent is low When should you focus on what? Reduce friction (UX) • Late in the funnel (think, do) • When the product/service is known • When intent is high
  30. Language City Country Downloads Anonymous or logged in Keywords Matching

    persona Campaign Standard landing page Number of visits Operating system IP address Time Device What can we do to remove friction or increase motivation based on the data we have and the goals we want to achieve?
  31. Revenue per visitor: $2.50 Conversion Rate: 2.5% Average Order Value:

    $100.00 Quantity: 2.00 Price: $50.00 Add to Cart: 5.00% Cart Checkout: 50% Revenue $10M Visitors: 4M Acquisition: 3M Retention: 33% Example e-commerce
  32. Revenue per visitor: $2.50 Conversion Rate: 2.5% Average Order Value:

    $100.00 Quantity: 2.00 Price: $50.00 Add to Cart: 5.00% Cart Checkout: 50% Revenue $10M Visitors: 4M Acquisition: 3M Retention: 33% Example e-commerce
  33. • Lowest price guarantee • 120 days free return •

    Buy online – pick up in store “Search for heating pumps, snowplow etc” Change to hamburger like menu to make it look less busy 0.34% less bounce rate 1.74 increase in people using search 2.57% increase in conversion rate
  34. • Lowest price guarantee • 120 days free return •

    Buy online – pick up in store “Search for heating pumps, snowplow etc” Change to hamburger like menu to make it look less busy 0.34% less bounce rate 1.74 increase in people using search 2.57% increase in conversion rate
  35. Revenue per visitor: $2.50 Conversion Rate: 2.5% Average Order Value:

    $100.00 Quantity: 2.00 Price: $50.00 Add to Cart: 5.00% Cart Checkout: 50% Revenue $10M Visitors: 4M Acquisition: 3M Retention: 33% Example e-commerce
  36. Unregistered Users Registered Users DONATE NOW PLEASE DONATE WHY DONATE?

    DONATE AND GET A GIFT CONTRIBUTE Returning Donors 0.0% 0.0% 0.0% +2.3% +16.3 +27.8% -27.8% N/A N/A +15.2% -24.6% +11.9% +8.5% +2.9% +18.4%
  37. Revenue per visitor: $2.50 Conversion Rate: 2.5% Average Order Value:

    $100.00 Quantity: 2.00 Price: $50.00 Add to Cart: 5.00% Cart Checkout: 50% Revenue $10M Visitors: 4M Acquisition: 3M Retention: 33% Example e-commerce
  38. Revenue per visitor: $2.50 Conversion Rate: 2.5% Average Order Value:

    $100.00 Quantity: 2.00 Price: $50.00 Add to Cart: 5.00% Cart Checkout: 50% Revenue $10M Visitors: 4M Acquisition: 3M Retention: 33% Example e-commerce
  39. _76 Predictive experimentation Test of premium service to loyal customers

    33% Increase in revenue attributed to personalized offers
  40. Old style USPs top Original New style USPs top Variation

    1 Old style USPs bottom Variation 2 32% 17%
  41. Why experiment? To eliminate guesswork and make better decisions To

    drive incremental and measurable growth To avoid rolling out harmful changes A safety-net for adventurous ideas and innovation To test bold ideas early and cost effectively To be more customer-centric Why experiment?
  42. Special discount for Google Optimize customers When Google Optimize switches

    off, Trust Optimizely to keep you switched on Performance Edge Visual Editor Stats Engine Segmentation Traffic Source Browser Type Ad Campaign New vs Returning Device Type Geotargeting Campaign Language Multivariant Testing Traffic Allocation PCI Compliant Snippet Change History Webhooks CSV Export Dynamic Website Support Custom Attributes Stats Accelerator Single Sign-On Support Multi-Page Funnel Tests Packaging starts at $21,000 for 500K Monthly Active Users