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Page 1: Anonymity of Clickstream data

Anonymity of Clickstream data

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Traffic from different countries

People with different intent

– Buyers

– Browsers

– Competitors

– Visitors with no apparent reason

– Students

– Information seekers

– Potential employees

– (employees, crawlers, machine traffic)

One of the reasons why senior management don’t trust the data

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Solution?

SEGMENTATION!

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Benefits

Data that pertains to your target audience

Take action

Different strategies for different segments

Triggers for successful behavior

Market intelligence

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Segmentation

Segment based on what?

– Geography, Time, Referrer, Campaign, Content, Behavior, Success Visitors, Paid traffic, Natural SEO traffic.

What metrics to look at?

What possible actions to take?

How this is done?

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1. Geography

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Metrics

Visits / Visitors

Top content

Top Products

Key phrases

Internal search phrase

Orders

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Scenario

IT company focused on certain countries

– Eliminate data from other regions

• All metrics would be more accurate with narrower data

• Less skew (example: career traffic)

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Scenario

Services company looking at new regions– Search key phrase – know what people are looking at

– Internal search phrase – know what people are looking specifically from the company

– Top Downloads / Pages – Which service is relevant

– Top supporting pages – What supporting information are they looking for?

All this can go as market intelligence to the sales/marketing team

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Scenario

Product company delivering in multiple countries

– Traffic source pie – decide where the marketing dollars should be spent

– Top Viewed services – inputs to sales

– Search terms – customer intent

– Top viewed supporting pages – inputs to sales / marketing

– Visits to non-English sites – decide to start / sustain / shut-down.

– Download data – decision on which collaterals to print

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2. Time / Day / Date

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Metrics

% Visits / Visitors

Top products viewed

Top products ordered

Orders for previous year / month / day

Email: Open ratio / CTR / Conversions

Conversion ratio for messages (internal ads)

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Scenario

E-commerce site

– Message conversion ratio

• What offers and where

– Top products viewed / ordered:

• Timing for running PPC ads

• Product display on key landing pages

• Stock

– Email metrics: When to send and what to talk about

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3. Referrer

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Metrics

Visits / visitors (share, trend)

Conversion (orders / subscriptions / leads)

Top landing pages

Top content consumed

Geography

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Scenario

News website

– Engagement: Understand which referrer is better

– Content consumed: Useful to know what kind of traffic is of interest

– Geography data: Relevant referrers for specific regions

– Visit trend: Predict when the traffic is going to happen (cricket)

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Scenario

B2B Website / Content Website

– Region data: Useful to evaluate PR effectiveness

– Engagement metrics: Identify high-value referrers and pursue relationship with them

– Content consumed: links from the landing pages

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4. Success Visitors

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Success Visitors:

– Ordered

– Subscribed

– Inquired

– Looked at x number of pages

– Looked at key pages

– Used a particular key phrase to reach

Very powerful segment to help initiate action

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Scenario

E-commerce Website

– Product ordered-Key phrase matrix: Useful for choosing products / key phrases for PPC

– Geography – product ordered: Choosing regions for PPC

– Supporting pages viewed: Push pages

– Campaign: Looking at where to spend money

– Paid key phrases: Which terms to bid

– Products ordered: Figuring out related products to push (through email, landing pages, etc)

– Offers: Know what to push and where

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Scenario

Lead generation website

– Content consumed: knowing which pages influenced

– Trigger page: For cross-linking

– Search engine key phrases: action point for SEO

– Geography: Knowing where the customer is

– Search Engine date: Choosing key phrase – engine combination

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Tools

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Tools

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To Conclude

Segmentation options for your tool

Start looking / reporting segmented data

Segmenting based on geography / referrer / success visitors – easy to start

Consider Clicktracks (for analysis and not reporting)

Explore multiple profiles and custom variables for GA

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Questions

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If you have questions, please post a comment and I will try to answer them.

Seby Kallarakkal