Lira

Client

Financial services for entrepreneurs and small to medium-sized enterprises.
Finom provides digital banking and invoicing services to self-employed professionals and SMEs in Germany, France, and Italy.

The challenge

As a fast-growing startup Finom aimed to increase 10x their qualified leads, yet they hit their limits with Google Search. Lira Agency, digital marketing partner, was looking for ways to scale up campaigns to achieve the ambitious goal.

The results

The 2-week test showed a 37% increase in conversions and a 28% decrease in CPA and was considered successful. Broad match keywords were adopted for the initial campaign and for other countries. Finom increased the amount of qualified leads, 85% of them now coming from broad match keywords.

The approach

Finom has different pricing packages and tracks full-funnel conversions: from first sign-up to opened account. The number of conversions per week was sufficient for strategies to learn. Search campaigns are divided per country and service with about 100 active keywords per campaign.
The idea was to tap into more queries with broad match keywords and attract incremental high-quality traffic with tCPA bidding strategy. Lira tested the approach for 2 weeks (Feb 25 – Mar 11, 2021) with 50% traffic split for one of the countries. Up to 10 keywords were moved from broad match modifier to broad match in a tested campaign. The CPA target and bidding strategy remained the same.

Client

Sibereon – an online store with products of its own brand Nisus for camping, fishing, hunting, and outdoor recreation. Market – the USA.

The challenge

The client had good sales on Amazon and eBay before. During the next business development stage, they launched their own online store on the Shopify platform. For the first months, the store team was managing Google Ads on their own, but the sales volume was not satisfying. Then Sibereon contacted us.

Key task: increase online store sales and increase ROAS (Return on Ad Spend).

The results

In 4 months, sales increased by 10 times, while the ROAS (return on ad spend) increased by 2.8 times. 

The approach

We set up conversion tracking, installed the correct integration of 4 systems: Google Ads, Google Analytics, Website, Merchant Center, set up and launched ads campaigns focused on business goals, and also dealt with long-term support and development of all ads campaigns.

The key factor of success was the choice of Google Ads machine learning algorithms. The best result was brought by the Smart Shopping campaign – with its help we managed to get maximum impressions of the products and increase sales.

Client

The client is a developer on Phuket island, selling under construction apartments in a residential complex next to the incredible Bang Tao beach. Completion date of the residential complex – end of 2022. The apartments are suitable for rental, family holidays, and permanent residence. The client’s office is located in Phuket, visitors are offered a complex tour. We have been working with this client since 2020.

The challenge

In February 2021, the number of leads for this customer has decreased. The current ad campaigns had been running for a long time, so their audiences started to burn out. The main goal was to increase the number of leads without increasing CPL and reallocate the budget to more prospective audiences.

The results

In March 2021, compared to the previous month, the number of leads from Facebook increased x2 (by 92%).

The approach

As the tourist flow almost stopped due to the pandemic outbreak, there was no room for scaling local ads.

Therefore, we decided to relaunch global campaigns with the current targeting settings and ad text, but separate them regionally. Thus, we divided the Russian-speaking audience campaign into CIS countries, English-speaking countries, Asia and the Middle East, and European countries. The campaign for English-speaking users was divided into the United States, English-speaking countries despite the United States, Asia, the Middle East, and Europe.

This division made it possible to optimize campaigns in a more precise way, turn off inefficient regions and reallocate the budget to more targeted areas. During weekly calls with the client, we promptly received feedback on the new campaigns’ lead-quality and eventually made adjustments to the campaigns. This way, we managed to increase the number of leads, improve their quality, and cut their cost by half.