Telekom Romania financial insights

Hrvatski Telekom










Telekom Romania’s operating profit for its fixed communications operations fell by 33% in local currency terms in 2014.

Quoting a report by the group following an obligation imposed by the regulator ANCOM and audited by PricewaterhouseCoopers, ZF adds that it amounted to RON39.6 million (€8.9 million).

It also says that the turnover generated by the telco’s fixed communications operations, which included the former Romtelecom and cable company Nextgen Communications, increased by 4% in 2014 to RON2.89 billion.

Sources at Telekom Romania told ZF that the figures contained in the report were calculated according to International Financial Reporting Standards.

They also said that financial statements for 2014 prepared in accordance with Romanian standards are still awaiting the approval of the company’s shareholders.


How A Practical Joke By CB Insights Skewering VC Culture Fooled Silicon Valley

[Photo: Flickr user ~He Shoots He Scores~]
CHRISTINA FARR 04.04.16 4:52 PM
Anand Sanwal, the CEO of CB Insights—a research firm that tracks investment in startups—had an idea for an April Fools’ Day joke that made fun of Silicon Valley’s unicorns and the venture capitalists who fund them.

At the end of the day on April 1, the company announced on its social media feeds that it had launched a new $40 million fund called “ChubbyBrain Ventures” and that it was looking for a “diverse set of candidates from Harvard, Stanford, or Wharton” (hah!).

If that dig at tech’s well-documented diversity problem proved to be too subtle, the post also included a GIF of a unicorn and a call out for “chubby” startups that are somewhere between “the lean and fat startup” (whatever that means).
Within 48 hours, the company says it was flooded with resumes from venture partners, congratulatory notes, co-investment opportunities, and even a few news articles that have subsequently been removed. CB Insights informed any journalists who reached out to them before publishing that it was an April Fools’ joke.

“I suspect that some people only skimmed the headline and not the post, which might explain the congratulatory notes,” says Sanwal. “But I would assume that those who reached out for employment opportunities gave it a read.”
I mentioned to Sanwal that I hear far crazier stuff delivered in a totally un-ironic way on the regular. One incident that comes to mind is from two years ago, when a prominent venture capitalist informed me that he often calls his wife for an opinion when he gets a pitch deck from an e-commerce startup—and is therefore “friendly to female founders.” Or, there’s the constant stream of meaningless jargon in news articles and press releases (what is a SaaS enterprise wellness platform, anyway)?

Sanwal didn’t set out to prove any larger point, but he was surprised—and perhaps even a little freaked out—by the positive responses to a post, in which he intentionally depicted himself as a total douche bag. “People probably fell for it because we have all heard this kind of crazy, absurd thing before.”

Well, Silicon Valley, I guess the joke is on us.


MOZ Local Insights Launches – A Hub for Analyzing Local Marketing Presence

moz local

Meet Moz Local Search Insights. The company says the new tool is designed to provide businesses with a comprehensive understanding of their local search presence.

In an email interview with Small Business Trends, Dudley Carr, VP of Engineering at Moz, said, “Moz Local Insights is unique in how it helps a business look at local data. For each piece of data, we distill the data across all of your locations into a single, meaningful number. Moz Local Insights then breaks those numbers down to provide more detail into what’s driving those metrics.”

Delivering these metrics requires understanding locations, and for small businesses looking to get a return on their local search efforts, Moz Local Insights provides business analytics that allows companies to see how they are doing compared to local competitors for relevant search keywords.

By looking at performance data coming from Google Analytics, Google My Business, ranking metrics from Google search and reviews from sites like Yelp that have the potential to show in your search result, Moz Local Insights measures the metrics with the most impact as they relate to your local search marketing efforts.

Carr said, “It is going to give local businesses the most holistic picture of their digital marketing.”

The value of local search is also highlighted by Google in its research paper, “Understanding Consumers’ Local Search Behavior.” It said, “Local searches lead to more purchases than non-local searches. Eighteen percent of local searches on smartphone lead to a purchase within a day verses 7 percent of non-local searches.”

When Moz announced the beta release, Director of Local Search Strategy David Mihm said, this platform is, “The hub for analyzing your location-centric digital activity.” Because it is becoming increasingly more difficult to keep up with the disparate sources where this data appears.

The beta release has features driven by customers. Everyone from agencies to enterprise brands had some input in how to improve the platform, and Moz made great efforts to incorporate those suggestions.

When you access a location or multiple locations in your account, or locations you have tagged with custom labels, you see daily-updated reporting in three key areas: location page performance, SERP rankings and reputation.

Location Page Performance

According to Moz, this section refines the metrics from online traffic that is most important to brick- and-mortar businesses into a single screen. It breaks down the traffic by percentages, sources by device type and a list of local directories sending potential customers to your website.

Mihm said, “While we haven’t yet integrated impression data from these directories, this should give you a relative indicator of customer engagement on each. We’re hoping to add even more performance metrics, including Google My Business and other primary consumer destinations, as they become available.”


The Visibility section has the reports of the rankings focused on location. The metrics it provides include performance in local packs and organic results. Just as the scoring system in Moz Analytics, Mihms said they have combined rankings into a single metric for both types of results to reflect the likelihood that a searcher will click on a result for your business when searching a given keyword.

It also lets you compare up to three competitors at a time to see how your business is faring. You can choose any competitor with granular visibility based on analysis by keyword, locations, average local rank, average organic rank and visibility score.


The Reputation section shows the progress of your review of acquisition efforts in terms of volume and the ratings that people are leaving for your business. This includes a distribution of where people are leaving reviews. Based on this information, a business can identify the sites that need more attention and take action with better marketing, etc.

This section will have more features to include more review sources, sentiment analysis and notifications and summaries of new reviews.

Even when we decide to patronize a multi-national company with presence in many countries around the world, our decision is based on the quality of the product locally. And for local businesses, the available technology in the market place, such as Moz Local Search Insights, can provide solutions that highlight the value of place in their marketing mix with great results.

Search Insights is enabled for all Moz Local customers by default.


Search-marketing Insights from Connect Search Engine Watch Conference

I recently attended the Connect Search Engine Watch Conference in Miami. The conference covered two tracks — “Engage with Organic” and “Innovate with Paid” — over two days. I spent my time on the organic track the first day and the paid track the second.

In this article, I’ll share my observations from the conference.

1. Local search optimization is strongly influenced by Google My Business, as Google Plus sunsets into Photos and Stream. Other key factors in local search optimization are as follows.

  • User behavior that indicates positive or negative engagement. A negative behavior is “pogo-sticking,” where users click on a search result, view the page, and quickly return to the search results.
  • External local referrals.
  • Social interaction — not the number of followers or fans, but how are they engaging.
  • Mobile-optimized: Responsive design is not the only answer.
  • On-page personalization.
  • Hierarchy, page organization, and URL pathways.
  • Site index size: how many pages rank vs. how many pages are indexed.
  • Page speed — i.e., load times.

2. SEO diagnostics and tracking important. SEO diagnostics need to be investigative, reactive (to negative changes) and proactive. Investigative focuses on technical — on-page and off.

3. Search result cards are a huge opportunity to dominate organic search results, as less and less organic space is available, especially on mobile devices. Search result cards can be knowledge-based, event-based, local-business based, and product-based. For example, the search query “how do i drive on icy roads?” produced a card with eight tips on driving in these conditions, pointing to a page from KSL Broadcasting in Salt Lake City.

4. Develop SEO to help searchers complete a task, to be most relevant in the searcher’s journey. For example, building a knowledge page to answer the question “how to hardwire under cabinet LED lighting” could provide useful information for people thinking about this type of project. But you could also provide promotions and coupons for manufacturers and LED lighting products.

5. All search is local search. One of the most insightful presentations was from BrightEdge, the SEO platform. The speaker stressed that every search is a local search, as competition is now even fiercer with just a “three pack” of organic local results showing — down from seven. However, since the search results shows websites, reviews, and directions, there are much better interactions if you are one of the top three.

6. “Near me.” Develop pages to answer queries that end in “…near me”. Google is increasingly autocompleting queries that could be applicable to local searches with the words “near me”, as in, “movie theaters near me,” or “oil changes near me.”

7. Monitor local citations. Website owners must constantly monitor their local-listing citations for NAP — Name, Address, Phone — consistency. Claim listings from leading directories — such as Yelp, Foursquare, Dex, Superpages, YP — to clean up data, remove duplications, and add content, such as photos and videos.

8. Avinash Kaushik, digital marketing evangelist for Google, was the keynote speaker.
I’m a huge fan of Kauskik. His speaking at this conference was one of my primary reasons for attending. I could write an entire article about his groundbreaking insights intomeasuring social media effectiveness by stressing conversion, amplification, applause rate, and economic value. I’ve addressed it here, too, at “Social Engagement for Ecommerce: How to Build, Measure, Improve.”

To summarize Kaushik’s presentation, demographic and psychographic data is much less relevant in the face of digital data, which reveals intent. In fact, once we do away with demographic modeling and marketing funnels, we can approach consumer engagement in an entirely different way.

Kaushik’s new model for determining consumers’ intent is See – Think – Do – Care.

Kaushik's model for determining consumers' purchase intent is See – Think – Do – Care.

Kaushik’s model for determining consumers’ purchase intent is See – Think – Do – Care.

  • “See” is the largest addressable, quantifiable audience. This is the awareness portion of your engagement with shoppers, the earliest point in their journey.
  • “Think” is weak intent, where the shopper may be considering your option, or competitors’ options, or other ways to complete their journey.
  • “Do” is strong intent, and where ecommerce tends to focus (the conversion). Merchants are typically good at optimizing for conversion, but not the early-stage engagement in the “See” and “Think” stages.
  • “Care” is the outreach to customers who have bought from you two or more times. This is the greatest opportunity for merchants to build meaningful and relevant relationships with their brand ambassadors.

Kaushik emphasized that each point in the customer journey requires a different kind of outreach. He dispelled the traditional marketing funnel that shoves all potential customers into one pathway and attempts to convert them through the small end of the funnel.

His approach is a different way to look at customer engagement, whereby merchants should develop content to address intent rather than an artificial demographic or persona. Advertising and outreach efforts are then aligned with each segment of this journey. Merchants should then evolve how to measure success, aligning their metrics with intent, as well as the desired business outcome.

9. Cross-device attribution. The speaker from IgnitionOne, a digital marketing suite, stressed cross-device attribution as one of the most important metrics in deciding how to arrange and optimize content. Last touch attribution is now woefully inadequate in the digital landscape of multiple devices, apps, and platforms.

10. Relevance to customers. Another way to rethink the funnel is in terms of your company’s relevance to your customer: You are successful if you get your content shared with your audience’s audience. I have addressed social sharing platforms, by the way.

11. Engage for the moment. The last speaker of the conference, from Fospha, a profiling and optimization platform, appropriately closed with comments about optimizing customer value by understanding engagement at that moment. Sophisticated digital platforms are now incorporating content engagement, real-time intent prediction, and “journey stitching” to create that moment.

These modeling platforms emphasize key engagement points:

  • Looking at behavior from the perspective of one silo makes sense until you look at the entire customer journey, which can change predictive behavior dramatically;
  • Model after the customer mindset;
  • Model across the entire customer journey;
  • Deliver real-time triggers for real-time intent prediction;
  • Start simple with your predictive modeling.

The recurring theme of modeling content and measuring for consumers’ engagement across their entire purchase journey was, for me, the biggest take-away from this worthwhile conference.