26
Multi-Channel, Multi-Device, Multi-Platform Measurement Marketing Festival Brno 2013 Matthias Bettag, Digital Analytics Consultant, Berlin @MatthiasBettag

Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Embed Size (px)

DESCRIPTION

Don't miss the next year of Marketing Festival Brno - http://www.marketingfestival.cz You can also buy a video of this presentation at marketingfestival.cz

Citation preview

Page 1: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Multi-Channel, Multi-Device, Multi-Platform Measurement

Marketing Festival Brno 2013Matthias Bettag, Digital Analytics Consultant, Berlin

@MatthiasBettag

Page 2: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

About meJob: • Self employed Digital Analytics Consultant and Certified Web

Analyst™

Representation: • Country Manager Germany of the Digital Analytics Association

(DAA)• Country Manager Germany for Mind Your Privacy (Spain)

Conferences:• Co-Owner of the Discussion Conference DA Hub (ex XChange Europe) -

June 2-4, 2014 in Berlin• Co-Chair of eMetrics Germany , November 4-5, 2014 in Berlin• Vice Chair of the I-COM Conference, March 31-April 3, 2014 in SevillaEducation: Tutor of the „Award of Achievement in Digital Analytics” online course of the University of British Columbia

Page 3: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Multi-Channel Measurement• Examples for different

Channels:– Search Engine Advertising (SEA)– Organic Search– Display&Banner Advertising– Email– Video– Mobile Ads– Social Media Ads + Links– Portals – Other Paid Links– Radio/TV Ads– Print Ads– …

Page 4: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Multi-Channel Measurement

SEA

QR

Display

Email

TV

Social

Direct

SEO

• Channel measurement is visit based– Customer journey across

different channels?• Channels are traffic

drivers– Quantity vs Quality?

Page 5: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Multi-Channel Measurement Goals• CTR – CPC – CPM – CPP – PPO – ROI

– Awareness?– Traffic?– Purchases?– Cost reduction (per order)?– Overall RoI?

• CTR/CPC/CPM Ad-Server• CPP/PPO/ROI Website• Level of Segmentation is rather technical:

– Keywords – Campaigns– Referrers– Time/Date– Revenue– Purchases, conversions– Products, Landingpages– …

Page 6: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Measuring Goals per Channel• Campaign Tracking

– Ensure ALL campaign links have the necessary parameters attached to the URL (after the „?“)

– Campaign Tracking Link Example:

Landingpage Campaign ID Referrer Date from/to Keyword (set)

Many other parameters are possible (Banner sizes, types, ..)Challenge 1: Consistency and accuracy across all campaignsChallenge 2: Report configuration can become complex

www.domain.com/page?cid=123&ref=abc&date=DMY&kw=xywww.domain.com/page?cid=123|ref=abc|date=DMY|kw=xy

Different variables,

separator: &

One variable with different

attributes

Page 7: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

So, this gives me superpower?

Page 8: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Moving beyond „simple“ campaign traffic analysis

• Define (real business relevant) KPIs across all platforms

• Define how your KPIs apply to each platform• Categorize campaigns by their goals• Establish a common understanding across all

stakeholders• Start thinking about customer analytics

Page 9: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Solving Multi-Channel Measurement• Customer Segmentation:– Personas / Target

Audiences?– Identifiable by their online

behavior?– Create visit segments (use

cases)– Create visitor segments

(user behavior)

Page 10: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Let the Barcelona Food Market explain Segmentation..

Buying lemons Buying onions Buying tomatos

Buying pears

Occasional buyer

Bulk buyer for restaurants

Regular buyer for own household

MS-Aida tourist on a shore leave..

Amount – Turnaround –

Conv.Rate

Amount – Turnaround – Conv.Rate

Amount – Turnaround – Conv.Rate

Amount – Turnaround –

Conv.Rate

Page 11: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Multi-Device Measurement

• A user is using multiple devices on a customer journey:– Desktop PC (e.g. at work)– Laptop– Smartphone– Tablet– Playstation, Xbox, etc.– Smart TV– …

CAGR = Compound Annual Growth Rate

M2M = Machine to Machine Communication

Source: www.broadwayworld.com/bwwgeeks/article/Users-Weighed-Down-by-Multiple-Gadgets-and-Mobile-Devices-New-Sophos-Survey-Reveals-20130314

Page 12: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Solving Multi-Device Measurement• Perfect solution: Use a mandatory login.• Even better: Providing Hardware and Platforms!

– Google, Apple, Microsoft, Amazon, ..• „Closed communities“ (only platforms) are in advantage

– Facebook, Ebay, large portals, ..

• Really hard to measure users across devices otherwise

Page 13: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Two examples:

1) Drawbrid.ge uses massive amount of (3rd party) cookies and e.g. matches devices by time and location calculated approximity, but obviously working well enough

2) Lytics.io – System starts low and learns over time by connecting dots and pieces together, e.g. by:• Cookie backmatching• Campaigns with unique userIDs, then tracking visitors and tying identities together • Matching-Algorithms inside a system• CallToAction via Twitter results to connects a social profile to a web profile• Similar with Mobile App to Web

Without such sophisticated systems: • Providing a personalized user experience helps to bridge cross device usage seamlessly (provide a

strong benefit for a log-in)• Generally, a good visit-/visitor segmentation is already helpful to optimize per platform/device

Methods for Customer Analytics

Page 14: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Multi-Platform Measurement• Own Website(s)• Mobile Websites• Mobile Apps• App Stores• Social Media Platforms

• External Portals (e.g. Aggregators, Communities)

• Gaming Platforms• Widgets embedded in third party websites• …

Page 15: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Better Multi-Platform Measurement• What purpose does each platform have?– Lead generation, Traffic driver, Research and

information, Mobile/local services, Purchases, Rating, none really.. (but the competitor is there, too), … ?

• How does a platform contribute to a business goal?• Assign appropriate business KPIs (per segment) to

the different platforms

Page 16: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Measure the user experience, not each silo by ist own

• Track one user experience into one reporting suite: If a website includes different platforms (e.g. general global structure and local content in frames) track visits and visitors across the platforms without duplication

• You‘ll probably need to customize the main JS-file and have to inherit VisitorIDs across platforms

• Debug, Debug, Debug!

Page 17: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

More silos: Using 3rd Party Trackers?• Think of moving from 3rd party tracking to 1st

party tracking– And be prepared to lose ~90% of data tracked by 3rd

party tools with the upcoming EU privacy regulation

You

Your 3rd Party Trackers

Page 18: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Sky-Level: Ready for strategical #CRO?• Understanding your conversions across all these “multi-

multis” is hard!• An attribution model helps to:

– Understand the different touchpoints of a user journey– Understand a touchpoint‘s impact on the user behavior– Understand how touchpoints influence– Optimize marketing spends

• Consider a Tag Management Systems (TMS)..

Page 19: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

TMS: Solving Data Inaccuracy• Data inaccuracy caused by:

– Users deleting cookies– Users on multiple devices– Missing offline campaign tagging– „Dark social“

TMS benefits: Multi-channel management at a glance Double tracking to end system and TMS Rule engine to configure firing rules in very detail

Page 20: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

TMS: Solving Data Duplication• Data duplication caused by:– Channels measured in silos– Problem: Multiple

affiliates/channels claim for the same conversions

TMS benefits: Data-deduplication and allocation of actions per

touchpoint Clear picture of conversions by channels at a glance

Page 21: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

TMS: Solving Insufficent Control• Insufficient control caused by:

– No access to source code– Results in long cycles for

updates/changes/adaptations

• TMS benefits:– Direct configuration of tags via the TMS– Rule engine helps to customize firing

rules per tracker individually– Provides individual level of control to the

different stakeholders

Page 22: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

TMS: Managing Privacy Processes

• Users need detailed explanation about all Trackers and the purpose of data collection

• Avoiding unwanted data

• TMS benefits:– Managing User Consent– Control of Datastreams

Source: British Telecom

Page 23: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

TMS: Solving Lack of Processes• Lack of processes caused by:– Missing Hub&Spokes model– Friction between Marketing, Analytics

and IT causes delays TMS benefits:

A Data Layer model enforces a tagging documentation and by this transparency for all stakeholders

Each stakeholder can focus on the respective area of responsibility and act independentely

Much quicker reaction time for any changes/updates

Page 24: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Too complex? In fact, that‘s so 1977..

Screenshot from “James Bond 007 - The Spy Who Loved Me” (1977)

Page 25: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Summary• Segment your audience and their intentions

• Map KPIs to business goals

• Rely on your own data!

– .. and make sure you‘re allowed to use it..

• Try hard to understand your customer‘s decision making behaviors

• Tools help, but governance is on you!

Page 26: Matthias Bettag - Challenges for each the multi-channel, multi-device and multi-platform measurement

Thank You!Matthias BettagDigital Analytics Consultant

DAA Country Manager GermanyMindYourPrivacy Country Manager Germany

[email protected]

@MatthiasBettag

de.linkedin.com/in/mbettag/