Appian is a low-code automation platform for building enterprise software applications. They came to Search Laboratory following a period of huge growth as they needed an agency to support lead generation activity for predicted further growth across ten territories and five languages.
We identified a need to use their data to consolidate activity; by identifying which assets and channels worked best in each market and moving budgets accordingly, we could improve lead generation while keeping CPA low.
We work with Appian across the following territories (PPC and paid social in all markets, organic social in the last four):
Prior to starting work, our inhouse team of international digital marketers conducted keyword research and a thorough market audit in each territory to identify insights such as: industry nuances at a local level; competitor USPs; preferred first language; appropriate CTAs; appropriate use of extensions based on search terms and converting keywords.
While the overall strategy remained the same across all territories, we used these insights along with the number and cost of leads to shape the strategy in each market.
The first step we took was to connect Salesforce and Google Ads, as this would allow us to import Appian’s MQL data and use this to optimise campaigns. Appian is a lead generation company and prospects are required to fill out a form to move along towards a sale. Not all form fills lead to a final sale, and due to the nature of the sales cycle, there is a delay in knowing which form fills lead to sales. This makes bidding based on MQL data difficult.
We used historical data to understand the conversion rate of form fills for each region and calculate a target cost per form fill and used this to optimise campaigns in real-time.
Appian offer multiple products and solutions, and it is important that we match the right asset to the right search intent so as to improve CTR and CVR. We conducted a competitor audit and analysed historical campaign data to gather insights on which assets worked best for which keywords and searches and used this to optimise our campaigns.
We worked with third-party data providers to improve the quality of our B2B targeting across Facebook and LinkedIn. We also moved to ‘in-platform lead generation’ across both channels, reducing the amount of work required by a user to fill in a form and therefore lowering the CPA.
Finally, we onboarded a lead enrichment system which allowed us to score leads and qualify them. This information was fed back into Salesforce, allowing the team to follow up on leads which are valuable while spending less time on lesser qualified leads.
Our organic social strategy needed to create brand awareness, cultivate leads and engage with clients.
We introduced a mix of localised and global upper funnel content including blogs and videos which would interest those in the research phase of the customer journey. We also began sharing user generated content (to engage with clients and prospects), customer success stories and case studies and in-depth whitepapers (to cultivate leads).
High-performing content was promoted to relevant local audiences to boost reach.
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