When opinions take a backseat and data takes control, you can be sure of incremental revenue by building data-informed digital experiences that your customers will love. In this webinar, learn how to develop an evidence-based approach instead of an opinion-based approach.
Watch webinar recording here - https://vwo.com/resources/webinars/how-to-build-data-driven-strategies-ensuring-customer-loyalty/
Putting Customers First: How To Build Data-Driven Strategies To Ensure Customer Loyalty
1. Putting Customers First How To Build Data-Driven
Strategies To Ensure Customer Loyalty
Michael Laps
Co-Founder and Strategy Director,
Yoghurt Digital
Vipul Bansal
Co-Marketing Manager, VWO
6. A systematic approach for improving user experience in order to increase the amount of
users taking a desired business action.
In short, you’re crafting customer journeys that convert.
What Is CRO?
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7. 1. Users come to your site for a reason. Make it easy for them to do what they need to do.
2. Learn about your customers intimately - their pain points, needs, motivations and
behaviours.
3. Acquisition is expensive, competitive, and only getting worse on both fronts. There’s
$92 spent on acquisition for every $1 spent on conversion.
4. You’re no longer being compared to your competitors. You’re now being compared to
the best digital experiences in the world.
Why Is CRO Important?
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10. 4. Implement & Measure
A/B testing and direct implementation
3. Hypothesise
Develop a list of ideas for testing and
a list of ideas for implementation
2. Analysis
Look for patterns that are validated
across multiple data sources
1. Research
Deeply understand your users, their
needs, pains and gains
Growth
Methodology
Methodology
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14. Research is the most important part. If you get this wrong, then your hypothesis are
wrong. And if your hypothesis are wrong, then your testing and implementation
initiatives will fail. And if those initiatives fail, then bad things will happen.
Take your time. Dive deeper. Ask more questions. Do more research to support
and validate your thinking.
Take Your Time
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15. In-depth UX research relies on a strong qualitative research foundation to
truly understand customers, their needs and how to meet them.
Research is comprised of two phases:
Phase #1: Discovery
Interviews and users tests with users to uncover issues in the user journey
and to understand their motivations, fears and beliefs. The website is also
assessed against best practices using quantitative methods.
Phase #2: Validation
Using customer surveys and live surveys, the issues uncovered in the
discovery phase are quantified to highlight prioritisation of our findings. The
remaining user tests and interviews are aimed at validating early findings
and to flesh out personas and user journeys to the fullest.
Timelines
Setup
Set up research tools
Google Analytics audit
Goals and events audit
Google Analytics analysis
Month 1
Research Phase #1: DiscoveryMonth 2
Research Phase #2: ValidationMonth 3
Research Completed
UX research report
Ongoing testing and optimisation strategy
Month 4
User test and interviews #1-5
Live surveys #1-2
Heatmaps
User test and interviews #6-9
Live survey #3-4
Customer survey
Personas
User journeys
Information architecture
review
Scrollmaps
Analytics modelling
Timelines
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17. A/B Testing
Variations
A/B tests typically have one variation, but depending on the hypothesis,
traffic and conversion rate, it’s possible to test up to three variations.
Device Type
Unless a test has a hypothesis specifically focused on a certain device type,
we recommend testing responsive versions of each test to see how it
performs across desktop, tablet and mobile.
We also never run two tests on one device type simultaneously (i.e. two
tests on desktop simultaneously), as it prevents you from knowing which
test is having the positive / negative impact.
Waterfall
Tests are also run as a waterfall, meaning as soon as one test finishes, the
next test is launched. So while there is no overlap between tests, there’s
also no lag time.
DesignsWeek 1
DevelopmentWeek 2
Launch
- Post-test reporting includes detailed performance
analysis, insights and learnings for the next round of
tests
- A follow-up test may be required if the result isn’t
significant
Test Report
Weeks 3-4
- Designs are coded on into the A/B testing software
- Development is tested and thoroughly QA’d
- Preview links for the test are reviewed ahead of
final sign-off
- Tests require a minimum of seven full days of data
- Tests require a minimum of 250 conversions per
variation
- Depending on the traffic, conversion rate and uplift,
tests can run from between 7 - 35 days
Timelines
- Hypotheses are taken and conceptualised
- Designs are generated
- Feedback and sign-off prior to development
Week 5
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19. ➔ What search terms are your customers using to find and browse your products?
➔ What questions are your customers asking?
➔ What information do they need in order to make their decision?
SEO & Content
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20. Biddable
➔ What search terms are your customers using to find and browse your products?
➔ What are the major pain points and motivations that are driving their decision-making?
➔ Who do your customers see as your competitors?
➔ What unique selling propositions would make them choose you over them?
➔ How many touch-points do your customers need before purchasing?
➔ What biddable channels do your customers interact with? Is social or YouTube relevant?
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21. Email Marketing & CRM
➔ What are common questions customers ask post-delivery of your product / service?
➔ How long does it take for a customer to re-purchase? How frequently do they re-purchase?
➔ What would need to happen for your customers to become vocal advocates?
➔ What are the persona profiles for your customers? How does the segmentation and
language need to differ between them?
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23. Part 1: Tools
1. Install Hotjar for session recordings and live surveys
2. Install Crazy Egg for heat mapping
3. Install Formisimo if you have forms that need to be tracked (including long checkout
processes)
4. Install either Optimizely or VWO
Part 2: Tracking
1. Think about what type of insights you need to help you make decisions
2. Use Google Analytics to identify key pages
3. Setup all of the tools to start tracking those pages immediately
Part 3: Cross-Reference Data
1. Compare consumer needs to business needs / plans / goals
2. Pick the strategy that will address the consumer needs as much as possible, without ignoring
those of the business
Actionables
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24. THANK YOU!
Any questions regarding this presentation should be directed to:
CONFIDENTIALITY
This document is commercial in confidence and has been prepared by Yoghurt Digital for purposes of
reviewing by VWO webinar attendees only. Viewing or copying of this document by any other party
other than VWO webinar attendees is prohibited.
Michael
Co-Founder
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These are some of the components of a behavioural research report, covering both qualitative and quantitative methods. Now regardless of whether you end up rebuilding your website or going down the optimisation route, this has to be your starting point. If you’re not starting with data, you’re definitely ending with chaos. When the stakes are this high, you want to be making decisions based on more than “gut feel”.We recommend you combine all of these data sources to get a complete picture of who your customer actually is beyond basic personas. What are their behavioural patterns? How do they perceive you in relation to your competitors? What do they see as your strengths and weaknesses? What usability and functionality features do they find valuable?Once you know all of this, you simply cross-reference this against the realities and limitations within your business to determine what would be the most effective strategy to address both the needs of consumers and the business. But either way, you’ll have a strategic roadmap for optimisation - whether it be via a rebuild or an A/B testing program.I find it genuinely strange that despite companies investing countless months and tens - if not hundreds - of thousands of dollars into a complete overhaul, they’re unwilling to invest a fraction of that into behavioural research beforehand to protect their investment. It’s the equivalent of asking a stranger to invest $100,000 into a random company on the stockmarket that you picked out of a hat. You really hope it’s a winner, but there’s no evidence to support the idea that it will be. When would that ever happen?!
These are some of the components of a behavioural research report, covering both qualitative and quantitative methods. Now regardless of whether you end up rebuilding your website or going down the optimisation route, this has to be your starting point. If you’re not starting with data, you’re definitely ending with chaos. When the stakes are this high, you want to be making decisions based on more than “gut feel”.We recommend you combine all of these data sources to get a complete picture of who your customer actually is beyond basic personas. What are their behavioural patterns? How do they perceive you in relation to your competitors? What do they see as your strengths and weaknesses? What usability and functionality features do they find valuable?Once you know all of this, you simply cross-reference this against the realities and limitations within your business to determine what would be the most effective strategy to address both the needs of consumers and the business. But either way, you’ll have a strategic roadmap for optimisation - whether it be via a rebuild or an A/B testing program.I find it genuinely strange that despite companies investing countless months and tens - if not hundreds - of thousands of dollars into a complete overhaul, they’re unwilling to invest a fraction of that into behavioural research beforehand to protect their investment. It’s the equivalent of asking a stranger to invest $100,000 into a random company on the stockmarket that you picked out of a hat. You really hope it’s a winner, but there’s no evidence to support the idea that it will be. When would that ever happen?!
So here are your key action items for when you get back to the office:
Install one of either Hotjar or Lucky Orange, as well as Crazy Egg, Formisimo and either Optimizely or VWO. These are the tools you’ll be using to gather your data, as well as A/B test your various hypothesis.
Set all of the tools up properly and let them run for a few weeks and collect data. This will take you less than an hour to do, so get it done today. Once it’s done, you don’t have to revisit it for a few weeks.
Set aside time every 4-6 weeks to analyse the data and identify key behavioural patterns and opportunities for improvement. Match this up with your own list of actionables and see how much crossover there is. From there, you can make an educated decision on whether you should be building a new website or building a testing strategy.